{"type":"file-history-snapshot","messageId":"8a823ea7-5cc5-4be9-96f7-c9740ff3d4c9","snapshot":{"messageId":"8a823ea7-5cc5-4be9-96f7-c9740ff3d4c9","trackedFileBackups":{},"timestamp":"2026-02-11T15:42:30.866Z"},"isSnapshotUpdate":false}
{"parentUuid":"1834959e-ca97-43a0-8b0c-3c67af41a9f9","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"cd4f48ba-5084-4ebd-a1ca-85783829ab98","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"user","message":{"role":"user","content":[{"type":"text","text":"[Request interrupted by user for tool use]"}]},"uuid":"fcdf065d-0d59-4e1c-8a3f-672a0d7d7beb","timestamp":"2026-02-11T15:42:30.854Z"}
{"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Expand Go Vulnerability Scanning\n\n## Context\n\nGo scanning currently detects 3 vulnerability categories (command injection, SQL injection, path traversal). CodeQL's `codeql/go-all` pack ships with many more security libraries that we aren't using. This plan adds 7 new queries and matching LLM templates to significantly broaden coverage, bringing Go closer to parity with the Rust scanner (which has 4 queries) and covering the most impactful web-application vulnerability classes.\n\n## New Queries (7)\n\nAll queries follow the existing pattern in `data/queries/go/issues/Command injection.ql` -- import the `semmle.go.security.*` library, use `Flow::PathGraph`, select source-to-sink flow paths. No pipeline code changes needed; the pipeline auto-discovers `.ql` files and matches templates by `@name`.\n\n| # | Query | CWE | Severity | Library |\n|---|-------|-----|----------|---------|\n| 1 | Reflected XSS | 079 | 6.1 | `ReflectedXss` |\n| 2 | Server-side request forgery | 918 | 9.1 | `RequestForgery` |\n| 3 | Open URL redirect | 601 | 6.1 | `OpenUrlRedirect` |\n| 4 | Log injection | 117 | 7.8 | `LogInjection` |\n| 5 | XPath injection | 643 | 9.8 | `XPathInjection` |\n| 6 | Zip Slip | 022 | 7.5 | `ZipSlip` |\n| 7 | Stored XSS | 079 | 6.1 | `StoredXss` |\n\n## Files to Create (14 total)\n\n**Queries** -- `data/queries/go/issues/`:\n- `Reflected XSS.ql`\n- `Server-side request forgery.ql`\n- `Open URL redirect.ql`\n- `Log injection.ql`\n- `XPath injection.ql`\n- `Zip Slip.ql`\n- `Stored XSS.ql`\n\n**Templates** -- `data/templates/go/`:\n- `Reflected XSS.template`\n- `Server-side request forgery.template`\n- `Open URL redirect.template`\n- `Log injection.template`\n- `XPath injection.template`\n- `Zip Slip.template`\n- `Stored XSS.template`\n\n**No existing files modified.** The `qlpack.yml` already depends on `codeql/go-all: \"*\"` which provides all needed libraries.\n\n## Template Design\n\nEach template follows the existing style (see `data/templates/go/Command injection.template`): a one-line description of what the analysis detects, followed by 4-5 numbered Go-specific validation questions referencing real packages and functions. Templates guide the LLM to check for sanitization, proper API usage, and taint reachability.\n\nKey Go-specific details per template:\n- **Reflected XSS**: `http.ResponseWriter`, `html/template` vs `text/template`, `html.EscapeString`\n- **SSRF**: `http.Get`, `http.NewRequest`, `http.Client`, internal IP/hostname checks\n- **Open redirect**: `http.Redirect`, `url.Parse`, relative path validation\n- **Log injection**: `log`, `logrus`, `zap`, `zerolog`, `slog`, newline injection\n- **XPath injection**: `xmlquery`, `xpath.Compile`, parameterized queries\n- **Zip Slip**: `archive/zip`, `archive/tar`, `filepath.Clean`, `strings.HasPrefix`\n- **Stored XSS**: `sql.Row.Scan`, GORM, `html/template`, output escaping\n\n## Queries NOT Included (and why)\n\n- **Hardcoded credentials** (CWE-798): Uses `@kind problem` not `path-problem`; would need pipeline changes\n- **Incorrect integer conversion** (CWE-681): Uses flow states; too complex for standard pattern\n- **Regex injection**: No `semmle.go.security.RegexInjection` library exists for Go\n- **Insecure TLS** (CWE-295): Configuration analysis, not taint tracking\n- **LDAP injection, template injection, header injection**: No dedicated Go security libraries\n\n## Implementation Steps\n\n1. Create 7 `.ql` files in `data/queries/go/issues/`\n2. Create 7 `.template` files in `data/templates/go/`\n3. Run `poetry run vulnhalla-setup` to install packs (downloads any new transitive deps)\n4. Compile queries to verify correctness: `codeql query compile` on each new file\n\n## Verification\n\n1. `codeql query compile` succeeds for all 7 new queries\n2. Run `poetry run vulnhalla <go-web-project> --lang go` against a Go web application\n3. Confirm new issue types appear in `output/results/` with template-specific hints (not `general.template` fallback)\n4. Confirm LLM classification runs without errors on the new issue types\n5. Confirm the UI displays the new issue types correctly\n\n## Critical Reference Files\n\n- `data/queries/go/issues/Command injection.ql` -- query pattern to replicate\n- `data/templates/go/Command injection.template` -- template pattern to replicate\n- `data/queries/go/issues/qlpack.yml` -- pack config (no changes needed)\n- `src/vulnhalla.py:299` -- template resolution by issue name\n- `src/codeql/run_codeql_queries.py:263` -- query auto-discovery\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /home/josie/.claude/projects/-home-josie-development-personal-Vulnhalla/cd4f48ba-5084-4ebd-a1ca-85783829ab98.jsonl"},"uuid":"8a823ea7-5cc5-4be9-96f7-c9740ff3d4c9","timestamp":"2026-02-11T15:42:30.852Z","planContent":"# Expand Go Vulnerability Scanning\n\n## Context\n\nGo scanning currently detects 3 vulnerability categories (command injection, SQL injection, path traversal). CodeQL's `codeql/go-all` pack ships with many more security libraries that we aren't using. This plan adds 7 new queries and matching LLM templates to significantly broaden coverage, bringing Go closer to parity with the Rust scanner (which has 4 queries) and covering the most impactful web-application vulnerability classes.\n\n## New Queries (7)\n\nAll queries follow the existing pattern in `data/queries/go/issues/Command injection.ql` -- import the `semmle.go.security.*` library, use `Flow::PathGraph`, select source-to-sink flow paths. No pipeline code changes needed; the pipeline auto-discovers `.ql` files and matches templates by `@name`.\n\n| # | Query | CWE | Severity | Library |\n|---|-------|-----|----------|---------|\n| 1 | Reflected XSS | 079 | 6.1 | `ReflectedXss` |\n| 2 | Server-side request forgery | 918 | 9.1 | `RequestForgery` |\n| 3 | Open URL redirect | 601 | 6.1 | `OpenUrlRedirect` |\n| 4 | Log injection | 117 | 7.8 | `LogInjection` |\n| 5 | XPath injection | 643 | 9.8 | `XPathInjection` |\n| 6 | Zip Slip | 022 | 7.5 | `ZipSlip` |\n| 7 | Stored XSS | 079 | 6.1 | `StoredXss` |\n\n## Files to Create (14 total)\n\n**Queries** -- `data/queries/go/issues/`:\n- `Reflected XSS.ql`\n- `Server-side request forgery.ql`\n- `Open URL redirect.ql`\n- `Log injection.ql`\n- `XPath injection.ql`\n- `Zip Slip.ql`\n- `Stored XSS.ql`\n\n**Templates** -- `data/templates/go/`:\n- `Reflected XSS.template`\n- `Server-side request forgery.template`\n- `Open URL redirect.template`\n- `Log injection.template`\n- `XPath injection.template`\n- `Zip Slip.template`\n- `Stored XSS.template`\n\n**No existing files modified.** The `qlpack.yml` already depends on `codeql/go-all: \"*\"` which provides all needed libraries.\n\n## Template Design\n\nEach template follows the existing style (see `data/templates/go/Command injection.template`): a one-line description of what the analysis detects, followed by 4-5 numbered Go-specific validation questions referencing real packages and functions. Templates guide the LLM to check for sanitization, proper API usage, and taint reachability.\n\nKey Go-specific details per template:\n- **Reflected XSS**: `http.ResponseWriter`, `html/template` vs `text/template`, `html.EscapeString`\n- **SSRF**: `http.Get`, `http.NewRequest`, `http.Client`, internal IP/hostname checks\n- **Open redirect**: `http.Redirect`, `url.Parse`, relative path validation\n- **Log injection**: `log`, `logrus`, `zap`, `zerolog`, `slog`, newline injection\n- **XPath injection**: `xmlquery`, `xpath.Compile`, parameterized queries\n- **Zip Slip**: `archive/zip`, `archive/tar`, `filepath.Clean`, `strings.HasPrefix`\n- **Stored XSS**: `sql.Row.Scan`, GORM, `html/template`, output escaping\n\n## Queries NOT Included (and why)\n\n- **Hardcoded credentials** (CWE-798): Uses `@kind problem` not `path-problem`; would need pipeline changes\n- **Incorrect integer conversion** (CWE-681): Uses flow states; too complex for standard pattern\n- **Regex injection**: No `semmle.go.security.RegexInjection` library exists for Go\n- **Insecure TLS** (CWE-295): Configuration analysis, not taint tracking\n- **LDAP injection, template injection, header injection**: No dedicated Go security libraries\n\n## Implementation Steps\n\n1. Create 7 `.ql` files in `data/queries/go/issues/`\n2. Create 7 `.template` files in `data/templates/go/`\n3. Run `poetry run vulnhalla-setup` to install packs (downloads any new transitive deps)\n4. Compile queries to verify correctness: `codeql query compile` on each new file\n\n## Verification\n\n1. `codeql query compile` succeeds for all 7 new queries\n2. Run `poetry run vulnhalla <go-web-project> --lang go` against a Go web application\n3. Confirm new issue types appear in `output/results/` with template-specific hints (not `general.template` fallback)\n4. Confirm LLM classification runs without errors on the new issue types\n5. Confirm the UI displays the new issue types correctly\n\n## Critical Reference Files\n\n- `data/queries/go/issues/Command injection.ql` -- query pattern to replicate\n- `data/templates/go/Command injection.template` -- template pattern to replicate\n- `data/queries/go/issues/qlpack.yml` -- pack config (no changes needed)\n- `src/vulnhalla.py:299` -- template resolution by issue name\n- `src/codeql/run_codeql_queries.py:263` -- query auto-discovery\n"}
{"parentUuid":"8a823ea7-5cc5-4be9-96f7-c9740ff3d4c9","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01Pkcrq8bqhMdmHoDhumEYqg","type":"message","role":"assistant","content":[{"type":"text","text":"\n\n"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":10853,"cache_read_input_tokens":16746,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10853},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y6KRMfYfLRoNRKJbDM","type":"assistant","uuid":"b4f82509-579b-433e-a4cc-66e97a2801f1","timestamp":"2026-02-11T15:42:33.596Z"}
{"parentUuid":"b4f82509-579b-433e-a4cc-66e97a2801f1","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01Pkcrq8bqhMdmHoDhumEYqg","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me start by reading the existing reference files to understand the patterns I need to replicate.","signature":"EowCCkYICxgCKkDRqgMwKVLHdIJdel7J/vmCWZR/wMuAEKkz3ZzHlU1wLY0S44dEflWQYtApf5B5m57tSTOr2JgF4/qfKQeGEOxREgwJ4Z6MQo/FAMxePZkaDABfkEHJExomHYHI1yIw7mEbJBxy0CEmziSKvULHuOcwIa5twZI0T61mI1ChdD+MfEPAJPeoLPDCgauTN6UWKnRd9Q8cnDl29F1M/LiwyTvcHQwFSvOvbvb/V8skb9YHt+EptewFza/5/vMUiriSWBxhnpcQLsx+WiQXEhbhHGG7IH5J1HukzSqikqMXcOB3ZPgiOJSd1kCl9m7NciNmDhMZmX9WgRxNgxYkV5gMnkWA+yMAXxgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":10853,"cache_read_input_tokens":16746,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10853},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y6KRMfYfLRoNRKJbDM","type":"assistant","uuid":"8a15cc93-c9a7-4c36-b1b6-17849f74f4df","timestamp":"2026-02-11T15:42:33.986Z"}
{"parentUuid":"8a15cc93-c9a7-4c36-b1b6-17849f74f4df","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01Pkcrq8bqhMdmHoDhumEYqg","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read the reference files to understand the exact patterns."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":10853,"cache_read_input_tokens":16746,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10853},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y6KRMfYfLRoNRKJbDM","type":"assistant","uuid":"e772006b-f5a0-41fc-959b-c355a1c1072d","timestamp":"2026-02-11T15:42:34.380Z"}
{"parentUuid":"e772006b-f5a0-41fc-959b-c355a1c1072d","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01Pkcrq8bqhMdmHoDhumEYqg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ReiF31Eb2TBHYv4kuPd6cS","name":"Read","input":{"file_path":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Command injection.ql"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":10853,"cache_read_input_tokens":16746,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10853},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y6KRMfYfLRoNRKJbDM","type":"assistant","uuid":"9f6b6ed9-3445-4198-b9e3-340c811f53c8","timestamp":"2026-02-11T15:42:34.905Z"}
{"parentUuid":"9f6b6ed9-3445-4198-b9e3-340c811f53c8","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Read","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_01ReiF31Eb2TBHYv4kuPd6cS","parentToolUseID":"toolu_01ReiF31Eb2TBHYv4kuPd6cS","uuid":"7070a725-8cdc-4c94-b5de-28e7559b18cb","timestamp":"2026-02-11T15:42:34.910Z"}
{"parentUuid":"7070a725-8cdc-4c94-b5de-28e7559b18cb","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_01ReiF31Eb2TBHYv4kuPd6cS","toolUseID":"toolu_01ReiF31Eb2TBHYv4kuPd6cS","timestamp":"2026-02-11T15:42:34.980Z","uuid":"d2b0e45d-a4bd-40fa-8673-02210eef3160"}
{"parentUuid":"d2b0e45d-a4bd-40fa-8673-02210eef3160","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01ReiF31Eb2TBHYv4kuPd6cS","toolUseID":"toolu_01ReiF31Eb2TBHYv4kuPd6cS","timestamp":"2026-02-11T15:42:34.980Z","uuid":"7abaedfd-ae52-461b-96fc-99caa278cda3"}
{"parentUuid":"9f6b6ed9-3445-4198-b9e3-340c811f53c8","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ReiF31Eb2TBHYv4kuPd6cS","type":"tool_result","content":"     1→/**\n     2→ * @name Command injection\n     3→ * @description Building OS commands from user-controlled sources is vulnerable\n     4→ *              to insertion of malicious command arguments by the user.\n     5→ * @kind path-problem\n     6→ * @id go/command-injection\n     7→ * @problem.severity error\n     8→ * @security-severity 9.8\n     9→ * @precision high\n    10→ * @tags security\n    11→ *       external/cwe/cwe-078\n    12→ */\n    13→\n    14→import go\n    15→import semmle.go.dataflow.TaintTracking\n    16→import semmle.go.security.CommandInjection\n    17→import CommandInjection::Flow::PathGraph\n    18→\n    19→from CommandInjection::Flow::PathNode source, CommandInjection::Flow::PathNode sink\n    20→where CommandInjection::Flow::flowPath(source, sink)\n    21→select sink.getNode(), source, sink,\n    22→  \"This command depends on a $@.\", source.getNode(), \"user-provided value\"\n    23→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"53534118-43b0-469e-ba22-53a87b0267bb","timestamp":"2026-02-11T15:42:34.979Z","toolUseResult":{"type":"text","file":{"filePath":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Command injection.ql","content":"/**\n * @name Command injection\n * @description Building OS commands from user-controlled sources is vulnerable\n *              to insertion of malicious command arguments by the user.\n * @kind path-problem\n * @id go/command-injection\n * @problem.severity error\n * @security-severity 9.8\n * @precision high\n * @tags security\n *       external/cwe/cwe-078\n */\n\nimport go\nimport semmle.go.dataflow.TaintTracking\nimport semmle.go.security.CommandInjection\nimport CommandInjection::Flow::PathGraph\n\nfrom CommandInjection::Flow::PathNode source, CommandInjection::Flow::PathNode sink\nwhere CommandInjection::Flow::flowPath(source, sink)\nselect sink.getNode(), source, sink,\n  \"This command depends on a $@.\", source.getNode(), \"user-provided value\"\n","numLines":23,"startLine":1,"totalLines":23}},"sourceToolAssistantUUID":"9f6b6ed9-3445-4198-b9e3-340c811f53c8"}
{"parentUuid":"53534118-43b0-469e-ba22-53a87b0267bb","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01Pkcrq8bqhMdmHoDhumEYqg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TLbNVYxHHhbeShfpifYPHQ","name":"Read","input":{"file_path":"/home/josie/development/personal/Vulnhalla/data/templates/go/Command injection.template"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":10853,"cache_read_input_tokens":16746,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10853},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y6KRMfYfLRoNRKJbDM","type":"assistant","uuid":"bef046c2-c0b5-4ed8-9775-740a0579036d","timestamp":"2026-02-11T15:42:35.471Z"}
{"parentUuid":"bef046c2-c0b5-4ed8-9775-740a0579036d","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Read","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_01TLbNVYxHHhbeShfpifYPHQ","parentToolUseID":"toolu_01TLbNVYxHHhbeShfpifYPHQ","uuid":"6d77d16d-7c3d-44e9-80c0-0cf56ed95fba","timestamp":"2026-02-11T15:42:35.472Z"}
{"parentUuid":"6d77d16d-7c3d-44e9-80c0-0cf56ed95fba","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_01TLbNVYxHHhbeShfpifYPHQ","toolUseID":"toolu_01TLbNVYxHHhbeShfpifYPHQ","timestamp":"2026-02-11T15:42:35.512Z","uuid":"92a0c4b5-d611-471d-ab10-1a635c542773"}
{"parentUuid":"92a0c4b5-d611-471d-ab10-1a635c542773","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01TLbNVYxHHhbeShfpifYPHQ","toolUseID":"toolu_01TLbNVYxHHhbeShfpifYPHQ","timestamp":"2026-02-11T15:42:35.512Z","uuid":"5528d44d-e7a2-4724-8a09-714b28679d74"}
{"parentUuid":"bef046c2-c0b5-4ed8-9775-740a0579036d","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TLbNVYxHHhbeShfpifYPHQ","type":"tool_result","content":"     1→This static analysis detects user-controlled data flowing into OS command execution in Go code.\n     2→1. Is user input passed directly to exec.Command or exec.CommandContext as an argument?\n     3→2. Is the command constructed via string concatenation or fmt.Sprintf and then passed to a shell (e.g., sh -c)?\n     4→3. Is there any input validation, allowlisting, or sanitization before the command is built?\n     5→4. Does the taint flow from the source (e.g., http.Request) actually reach the exec call?\n     6→Use the tools to get all data needed.\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"2b18a7f7-2b7c-4397-8b10-af7bc75bafb6","timestamp":"2026-02-11T15:42:35.511Z","toolUseResult":{"type":"text","file":{"filePath":"/home/josie/development/personal/Vulnhalla/data/templates/go/Command injection.template","content":"This static analysis detects user-controlled data flowing into OS command execution in Go code.\n1. Is user input passed directly to exec.Command or exec.CommandContext as an argument?\n2. Is the command constructed via string concatenation or fmt.Sprintf and then passed to a shell (e.g., sh -c)?\n3. Is there any input validation, allowlisting, or sanitization before the command is built?\n4. Does the taint flow from the source (e.g., http.Request) actually reach the exec call?\nUse the tools to get all data needed.","numLines":6,"startLine":1,"totalLines":6}},"sourceToolAssistantUUID":"bef046c2-c0b5-4ed8-9775-740a0579036d"}
{"parentUuid":"2b18a7f7-2b7c-4397-8b10-af7bc75bafb6","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01Pkcrq8bqhMdmHoDhumEYqg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014FrMVtCqeH5Je36izR38YD","name":"Glob","input":{"pattern":"data/queries/go/issues/*.ql"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":10853,"cache_read_input_tokens":16746,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10853},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y6KRMfYfLRoNRKJbDM","type":"assistant","uuid":"4496e2b3-7a29-48a3-a72b-d817b4677675","timestamp":"2026-02-11T15:42:35.866Z"}
{"parentUuid":"4496e2b3-7a29-48a3-a72b-d817b4677675","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Glob","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_014FrMVtCqeH5Je36izR38YD","parentToolUseID":"toolu_014FrMVtCqeH5Je36izR38YD","uuid":"8da2aa2d-6431-4dac-ae88-578ed6ac0de9","timestamp":"2026-02-11T15:42:35.867Z"}
{"parentUuid":"8da2aa2d-6431-4dac-ae88-578ed6ac0de9","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Glob","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_014FrMVtCqeH5Je36izR38YD","toolUseID":"toolu_014FrMVtCqeH5Je36izR38YD","timestamp":"2026-02-11T15:42:35.933Z","uuid":"d29231c6-90da-45d8-a983-4bb5d3f4c5f5"}
{"parentUuid":"d29231c6-90da-45d8-a983-4bb5d3f4c5f5","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Glob","command":"callback"},"parentToolUseID":"toolu_014FrMVtCqeH5Je36izR38YD","toolUseID":"toolu_014FrMVtCqeH5Je36izR38YD","timestamp":"2026-02-11T15:42:35.933Z","uuid":"5f00681b-28ae-4552-9686-c42ebeefb2c9"}
{"parentUuid":"4496e2b3-7a29-48a3-a72b-d817b4677675","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014FrMVtCqeH5Je36izR38YD","type":"tool_result","content":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/SQL injection.ql\n/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Command injection.ql\n/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Path traversal.ql"}]},"uuid":"dd67b707-8847-42fd-800a-9fc6e11ed0ab","timestamp":"2026-02-11T15:42:35.932Z","toolUseResult":{"filenames":["/home/josie/development/personal/Vulnhalla/data/queries/go/issues/SQL injection.ql","/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Command injection.ql","/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Path traversal.ql"],"durationMs":27,"numFiles":3,"truncated":false},"sourceToolAssistantUUID":"4496e2b3-7a29-48a3-a72b-d817b4677675"}
{"parentUuid":"dd67b707-8847-42fd-800a-9fc6e11ed0ab","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01Pkcrq8bqhMdmHoDhumEYqg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BbBSohypVsyJ5BqsiQ19EQ","name":"Glob","input":{"pattern":"data/templates/go/*.template"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":10853,"cache_read_input_tokens":16746,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10853},"output_tokens":9,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y6KRMfYfLRoNRKJbDM","type":"assistant","uuid":"ca8b85a2-ad01-417e-bdd4-23349709cce7","timestamp":"2026-02-11T15:42:36.097Z"}
{"parentUuid":"ca8b85a2-ad01-417e-bdd4-23349709cce7","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Glob","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_01BbBSohypVsyJ5BqsiQ19EQ","parentToolUseID":"toolu_01BbBSohypVsyJ5BqsiQ19EQ","uuid":"3df9c32c-9a62-4577-aa5b-59eda88216f2","timestamp":"2026-02-11T15:42:36.100Z"}
{"parentUuid":"3df9c32c-9a62-4577-aa5b-59eda88216f2","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Glob","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_01BbBSohypVsyJ5BqsiQ19EQ","toolUseID":"toolu_01BbBSohypVsyJ5BqsiQ19EQ","timestamp":"2026-02-11T15:42:36.173Z","uuid":"f6340331-b296-4f88-8185-085517b28d8a"}
{"parentUuid":"f6340331-b296-4f88-8185-085517b28d8a","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Glob","command":"callback"},"parentToolUseID":"toolu_01BbBSohypVsyJ5BqsiQ19EQ","toolUseID":"toolu_01BbBSohypVsyJ5BqsiQ19EQ","timestamp":"2026-02-11T15:42:36.173Z","uuid":"1e3126cb-99e1-403d-8c1d-c9fecf270881"}
{"parentUuid":"ca8b85a2-ad01-417e-bdd4-23349709cce7","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BbBSohypVsyJ5BqsiQ19EQ","type":"tool_result","content":"/home/josie/development/personal/Vulnhalla/data/templates/go/template.template\n/home/josie/development/personal/Vulnhalla/data/templates/go/general.template\n/home/josie/development/personal/Vulnhalla/data/templates/go/SQL injection.template\n/home/josie/development/personal/Vulnhalla/data/templates/go/Command injection.template\n/home/josie/development/personal/Vulnhalla/data/templates/go/Path traversal.template"}]},"uuid":"97084efc-026e-4702-b709-ed85751d2a49","timestamp":"2026-02-11T15:42:36.172Z","toolUseResult":{"filenames":["/home/josie/development/personal/Vulnhalla/data/templates/go/template.template","/home/josie/development/personal/Vulnhalla/data/templates/go/general.template","/home/josie/development/personal/Vulnhalla/data/templates/go/SQL injection.template","/home/josie/development/personal/Vulnhalla/data/templates/go/Command injection.template","/home/josie/development/personal/Vulnhalla/data/templates/go/Path traversal.template"],"durationMs":34,"numFiles":5,"truncated":false},"sourceToolAssistantUUID":"ca8b85a2-ad01-417e-bdd4-23349709cce7"}
{"parentUuid":"97084efc-026e-4702-b709-ed85751d2a49","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01FvAbjAP2VT3RZKJTp1hBqt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Cd1ZrAZCkXApWwTMWescKU","name":"Read","input":{"file_path":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/SQL injection.ql"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1498,"cache_read_input_tokens":27599,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1498},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y6hVevRrs8YkeqxnTs","type":"assistant","uuid":"d44e4bd7-9ef2-48cd-a70b-86c885fc8d78","timestamp":"2026-02-11T15:42:39.296Z"}
{"parentUuid":"d44e4bd7-9ef2-48cd-a70b-86c885fc8d78","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Read","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_01Cd1ZrAZCkXApWwTMWescKU","parentToolUseID":"toolu_01Cd1ZrAZCkXApWwTMWescKU","uuid":"3a313e81-c374-4e9f-ad65-04ea255d467b","timestamp":"2026-02-11T15:42:39.298Z"}
{"parentUuid":"3a313e81-c374-4e9f-ad65-04ea255d467b","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_01Cd1ZrAZCkXApWwTMWescKU","toolUseID":"toolu_01Cd1ZrAZCkXApWwTMWescKU","timestamp":"2026-02-11T15:42:39.351Z","uuid":"faf9df6e-491a-4020-909d-e59d20b551e1"}
{"parentUuid":"faf9df6e-491a-4020-909d-e59d20b551e1","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Cd1ZrAZCkXApWwTMWescKU","toolUseID":"toolu_01Cd1ZrAZCkXApWwTMWescKU","timestamp":"2026-02-11T15:42:39.351Z","uuid":"18df5fe2-d85f-45d7-a6bf-413b6868d0e0"}
{"parentUuid":"d44e4bd7-9ef2-48cd-a70b-86c885fc8d78","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Cd1ZrAZCkXApWwTMWescKU","type":"tool_result","content":"     1→/**\n     2→ * @name SQL injection\n     3→ * @description Building SQL queries from user-controlled sources is vulnerable\n     4→ *              to insertion of malicious SQL code by the user.\n     5→ * @kind path-problem\n     6→ * @id go/sql-injection\n     7→ * @problem.severity error\n     8→ * @security-severity 8.8\n     9→ * @precision high\n    10→ * @tags security\n    11→ *       external/cwe/cwe-089\n    12→ */\n    13→\n    14→import go\n    15→import semmle.go.dataflow.TaintTracking\n    16→import semmle.go.security.SqlInjection\n    17→import SqlInjection::Flow::PathGraph\n    18→\n    19→from SqlInjection::Flow::PathNode source, SqlInjection::Flow::PathNode sink\n    20→where SqlInjection::Flow::flowPath(source, sink)\n    21→select sink.getNode(), source, sink,\n    22→  \"This query depends on a $@.\", source.getNode(), \"user-provided value\"\n    23→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"7d1a8b59-3674-4c25-8c13-683a6abedaa4","timestamp":"2026-02-11T15:42:39.351Z","toolUseResult":{"type":"text","file":{"filePath":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/SQL injection.ql","content":"/**\n * @name SQL injection\n * @description Building SQL queries from user-controlled sources is vulnerable\n *              to insertion of malicious SQL code by the user.\n * @kind path-problem\n * @id go/sql-injection\n * @problem.severity error\n * @security-severity 8.8\n * @precision high\n * @tags security\n *       external/cwe/cwe-089\n */\n\nimport go\nimport semmle.go.dataflow.TaintTracking\nimport semmle.go.security.SqlInjection\nimport SqlInjection::Flow::PathGraph\n\nfrom SqlInjection::Flow::PathNode source, SqlInjection::Flow::PathNode sink\nwhere SqlInjection::Flow::flowPath(source, sink)\nselect sink.getNode(), source, sink,\n  \"This query depends on a $@.\", source.getNode(), \"user-provided value\"\n","numLines":23,"startLine":1,"totalLines":23}},"sourceToolAssistantUUID":"d44e4bd7-9ef2-48cd-a70b-86c885fc8d78"}
{"parentUuid":"7d1a8b59-3674-4c25-8c13-683a6abedaa4","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01FvAbjAP2VT3RZKJTp1hBqt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016o6SoVD14Qdm7E1e59tVnE","name":"Read","input":{"file_path":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Path traversal.ql"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1498,"cache_read_input_tokens":27599,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1498},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y6hVevRrs8YkeqxnTs","type":"assistant","uuid":"d7fab3a9-0818-4828-844d-221c856d8ec9","timestamp":"2026-02-11T15:42:39.749Z"}
{"parentUuid":"d7fab3a9-0818-4828-844d-221c856d8ec9","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Read","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_016o6SoVD14Qdm7E1e59tVnE","parentToolUseID":"toolu_016o6SoVD14Qdm7E1e59tVnE","uuid":"a3a038a6-e21d-4498-bf39-c8cf6f5a5ee8","timestamp":"2026-02-11T15:42:39.750Z"}
{"parentUuid":"a3a038a6-e21d-4498-bf39-c8cf6f5a5ee8","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_016o6SoVD14Qdm7E1e59tVnE","toolUseID":"toolu_016o6SoVD14Qdm7E1e59tVnE","timestamp":"2026-02-11T15:42:39.797Z","uuid":"130bfd02-2e23-4076-b372-db8be4cc7bce"}
{"parentUuid":"130bfd02-2e23-4076-b372-db8be4cc7bce","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_016o6SoVD14Qdm7E1e59tVnE","toolUseID":"toolu_016o6SoVD14Qdm7E1e59tVnE","timestamp":"2026-02-11T15:42:39.797Z","uuid":"637b2f20-cd6d-4744-9622-f3d2dc812ece"}
{"parentUuid":"d7fab3a9-0818-4828-844d-221c856d8ec9","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016o6SoVD14Qdm7E1e59tVnE","type":"tool_result","content":"     1→/**\n     2→ * @name Path traversal\n     3→ * @description Accessing files and directories with user-controlled paths may allow\n     4→ *              an attacker to access unexpected resources.\n     5→ * @kind path-problem\n     6→ * @id go/path-traversal\n     7→ * @problem.severity error\n     8→ * @security-severity 7.5\n     9→ * @precision high\n    10→ * @tags security\n    11→ *       external/cwe/cwe-022\n    12→ */\n    13→\n    14→import go\n    15→import semmle.go.dataflow.TaintTracking\n    16→import semmle.go.security.TaintedPath\n    17→import TaintedPath::Flow::PathGraph\n    18→\n    19→from TaintedPath::Flow::PathNode source, TaintedPath::Flow::PathNode sink\n    20→where TaintedPath::Flow::flowPath(source, sink)\n    21→select sink.getNode(), source, sink,\n    22→  \"This path depends on a $@.\", source.getNode(), \"user-provided value\"\n    23→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"bc2856f3-6bbf-4c33-a6db-81dc62b313aa","timestamp":"2026-02-11T15:42:39.796Z","toolUseResult":{"type":"text","file":{"filePath":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Path traversal.ql","content":"/**\n * @name Path traversal\n * @description Accessing files and directories with user-controlled paths may allow\n *              an attacker to access unexpected resources.\n * @kind path-problem\n * @id go/path-traversal\n * @problem.severity error\n * @security-severity 7.5\n * @precision high\n * @tags security\n *       external/cwe/cwe-022\n */\n\nimport go\nimport semmle.go.dataflow.TaintTracking\nimport semmle.go.security.TaintedPath\nimport TaintedPath::Flow::PathGraph\n\nfrom TaintedPath::Flow::PathNode source, TaintedPath::Flow::PathNode sink\nwhere TaintedPath::Flow::flowPath(source, sink)\nselect sink.getNode(), source, sink,\n  \"This path depends on a $@.\", source.getNode(), \"user-provided value\"\n","numLines":23,"startLine":1,"totalLines":23}},"sourceToolAssistantUUID":"d7fab3a9-0818-4828-844d-221c856d8ec9"}
{"parentUuid":"bc2856f3-6bbf-4c33-a6db-81dc62b313aa","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01FvAbjAP2VT3RZKJTp1hBqt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MWLW8UvMoUEzwTFZiSuQit","name":"Read","input":{"file_path":"/home/josie/development/personal/Vulnhalla/data/templates/go/SQL injection.template"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1498,"cache_read_input_tokens":27599,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1498},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y6hVevRrs8YkeqxnTs","type":"assistant","uuid":"daa268f7-cba0-4c44-8676-6ed94da1374c","timestamp":"2026-02-11T15:42:40.183Z"}
{"parentUuid":"daa268f7-cba0-4c44-8676-6ed94da1374c","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Read","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_01MWLW8UvMoUEzwTFZiSuQit","parentToolUseID":"toolu_01MWLW8UvMoUEzwTFZiSuQit","uuid":"e7718165-43ad-486c-a7da-cc2c3c269f47","timestamp":"2026-02-11T15:42:40.186Z"}
{"parentUuid":"e7718165-43ad-486c-a7da-cc2c3c269f47","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_01MWLW8UvMoUEzwTFZiSuQit","toolUseID":"toolu_01MWLW8UvMoUEzwTFZiSuQit","timestamp":"2026-02-11T15:42:40.240Z","uuid":"91171bb0-d34d-47b5-9d9e-3d6fc412bca3"}
{"parentUuid":"91171bb0-d34d-47b5-9d9e-3d6fc412bca3","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01MWLW8UvMoUEzwTFZiSuQit","toolUseID":"toolu_01MWLW8UvMoUEzwTFZiSuQit","timestamp":"2026-02-11T15:42:40.240Z","uuid":"96249f11-e397-4462-9a4c-9808aec87c98"}
{"parentUuid":"daa268f7-cba0-4c44-8676-6ed94da1374c","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MWLW8UvMoUEzwTFZiSuQit","type":"tool_result","content":"     1→This static analysis detects user-controlled data flowing into SQL query construction in Go code.\n     2→1. Is user input directly concatenated or interpolated into the SQL string (e.g., fmt.Sprintf with %s/%v)?\n     3→2. Are parameterized queries or prepared statements used (db.Query with $1/? placeholders)?\n     4→3. Is there any input validation or sanitization before the query construction?\n     5→4. Does the taint flow from the source (e.g., http.Request) actually reach the SQL execution?\n     6→Use the tools to get all data needed.\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"843cef84-5a18-411b-8ff4-e3b6b5947f9c","timestamp":"2026-02-11T15:42:40.239Z","toolUseResult":{"type":"text","file":{"filePath":"/home/josie/development/personal/Vulnhalla/data/templates/go/SQL injection.template","content":"This static analysis detects user-controlled data flowing into SQL query construction in Go code.\n1. Is user input directly concatenated or interpolated into the SQL string (e.g., fmt.Sprintf with %s/%v)?\n2. Are parameterized queries or prepared statements used (db.Query with $1/? placeholders)?\n3. Is there any input validation or sanitization before the query construction?\n4. Does the taint flow from the source (e.g., http.Request) actually reach the SQL execution?\nUse the tools to get all data needed.","numLines":6,"startLine":1,"totalLines":6}},"sourceToolAssistantUUID":"daa268f7-cba0-4c44-8676-6ed94da1374c"}
{"parentUuid":"843cef84-5a18-411b-8ff4-e3b6b5947f9c","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01FvAbjAP2VT3RZKJTp1hBqt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FxaZN7jb6YcLt1WXiWi6ad","name":"Read","input":{"file_path":"/home/josie/development/personal/Vulnhalla/data/templates/go/Path traversal.template"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1498,"cache_read_input_tokens":27599,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1498},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y6hVevRrs8YkeqxnTs","type":"assistant","uuid":"496e3bcc-33d0-48de-b854-adc5c871bfec","timestamp":"2026-02-11T15:42:40.846Z"}
{"parentUuid":"496e3bcc-33d0-48de-b854-adc5c871bfec","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Read","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_01FxaZN7jb6YcLt1WXiWi6ad","parentToolUseID":"toolu_01FxaZN7jb6YcLt1WXiWi6ad","uuid":"64ccca65-d78c-4b8a-9218-5fd25dedbd3c","timestamp":"2026-02-11T15:42:40.848Z"}
{"parentUuid":"64ccca65-d78c-4b8a-9218-5fd25dedbd3c","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_01FxaZN7jb6YcLt1WXiWi6ad","toolUseID":"toolu_01FxaZN7jb6YcLt1WXiWi6ad","timestamp":"2026-02-11T15:42:40.904Z","uuid":"51514755-c8ec-44bd-b4aa-98439e84efec"}
{"parentUuid":"51514755-c8ec-44bd-b4aa-98439e84efec","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01FxaZN7jb6YcLt1WXiWi6ad","toolUseID":"toolu_01FxaZN7jb6YcLt1WXiWi6ad","timestamp":"2026-02-11T15:42:40.904Z","uuid":"314b8fcd-7868-42bd-85e8-9d87f055dc88"}
{"parentUuid":"496e3bcc-33d0-48de-b854-adc5c871bfec","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FxaZN7jb6YcLt1WXiWi6ad","type":"tool_result","content":"     1→This static analysis detects user-controlled data used in file path operations in Go code.\n     2→1. Is user input used directly in os.Open, os.ReadFile, filepath.Join, or similar file operations?\n     3→2. Is filepath.Clean or filepath.Abs used to normalize the path before use?\n     4→3. Is there a check that the resolved path stays within an expected base directory?\n     5→4. Could an attacker use \"../\" sequences to escape the intended directory?\n     6→Use the tools to get all data needed.\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"6720c86a-8cb8-4623-bc1a-fc78002c1299","timestamp":"2026-02-11T15:42:40.903Z","toolUseResult":{"type":"text","file":{"filePath":"/home/josie/development/personal/Vulnhalla/data/templates/go/Path traversal.template","content":"This static analysis detects user-controlled data used in file path operations in Go code.\n1. Is user input used directly in os.Open, os.ReadFile, filepath.Join, or similar file operations?\n2. Is filepath.Clean or filepath.Abs used to normalize the path before use?\n3. Is there a check that the resolved path stays within an expected base directory?\n4. Could an attacker use \"../\" sequences to escape the intended directory?\nUse the tools to get all data needed.","numLines":6,"startLine":1,"totalLines":6}},"sourceToolAssistantUUID":"496e3bcc-33d0-48de-b854-adc5c871bfec"}
{"parentUuid":"6720c86a-8cb8-4623-bc1a-fc78002c1299","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01AAAsrC7hX3Nysuig22XMTN","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Now I have a clear picture of the patterns. Let me create all 14 files. I'll do the queries and templates in parallel batches.\n\nFor queries, the pattern is:\n1. `@name` matches the filename (without `.ql`)\n2. `@kind path-problem`\n3. `@id go/<kebab-case-name>`\n4. Appropriate `@security-severity`\n5. Appropriate CWE tag\n6. Import the security library\n7. Standard flow path query\n\nFor templates, the pattern is:\n1. One-line description\n2. 4-5 numbered Go-specific validation questions\n\n\n3. End with \"Use the tools to get all data needed.\"\n\nNow I'll generate all 14 files.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1654,"cache_read_input_tokens":29097,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1654},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y73g6Sbhn4VYyVYrJT","type":"assistant","uuid":"4b912c48-13e7-4e2f-b78f-135543b3a95f","timestamp":"2026-02-11T15:42:47.250Z"}
{"parentUuid":"4b912c48-13e7-4e2f-b78f-135543b3a95f","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01AAAsrC7hX3Nysuig22XMTN","type":"message","role":"assistant","content":[{"type":"text","text":"Good, I have the patterns. Now I'll create all 14 files -- 7 queries and 7 templates."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1654,"cache_read_input_tokens":29097,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1654},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y73g6Sbhn4VYyVYrJT","type":"assistant","uuid":"30226264-7e7c-461b-906d-4cbe15a0c086","timestamp":"2026-02-11T15:42:47.337Z"}
{"parentUuid":"30226264-7e7c-461b-906d-4cbe15a0c086","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01AAAsrC7hX3Nysuig22XMTN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LvDiq5p84VGw35GKqEpxp3","name":"Write","input":{"file_path":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Reflected XSS.ql","content":"/**\n * @name Reflected XSS\n * @description Writing user-controlled data directly to an HTTP response allows\n *              cross-site scripting attacks.\n * @kind path-problem\n * @id go/reflected-xss\n * @problem.severity error\n * @security-severity 6.1\n * @precision high\n * @tags security\n *       external/cwe/cwe-079\n */\n\nimport go\nimport semmle.go.dataflow.TaintTracking\nimport semmle.go.security.ReflectedXss\nimport ReflectedXss::Flow::PathGraph\n\nfrom ReflectedXss::Flow::PathNode source, ReflectedXss::Flow::PathNode sink\nwhere ReflectedXss::Flow::flowPath(source, sink)\nselect sink.getNode(), source, sink,\n  \"This response depends on a $@.\", source.getNode(), \"user-provided value\"\n"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1654,"cache_read_input_tokens":29097,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1654},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y73g6Sbhn4VYyVYrJT","type":"assistant","uuid":"3e477b35-b547-4b3f-bcd1-e0d36f5c1c51","timestamp":"2026-02-11T15:42:50.142Z"}
{"parentUuid":"3e477b35-b547-4b3f-bcd1-e0d36f5c1c51","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Write","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_01LvDiq5p84VGw35GKqEpxp3","parentToolUseID":"toolu_01LvDiq5p84VGw35GKqEpxp3","uuid":"a21bf8fc-90a6-4d14-a009-e76f617870eb","timestamp":"2026-02-11T15:42:50.146Z"}
{"type":"file-history-snapshot","messageId":"3e477b35-b547-4b3f-bcd1-e0d36f5c1c51","snapshot":{"messageId":"8a823ea7-5cc5-4be9-96f7-c9740ff3d4c9","trackedFileBackups":{"data/queries/go/issues/Reflected XSS.ql":{"backupFileName":null,"version":1,"backupTime":"2026-02-11T15:42:50.197Z"}},"timestamp":"2026-02-11T15:42:30.866Z"},"isSnapshotUpdate":true}
{"parentUuid":"a21bf8fc-90a6-4d14-a009-e76f617870eb","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_01LvDiq5p84VGw35GKqEpxp3","toolUseID":"toolu_01LvDiq5p84VGw35GKqEpxp3","timestamp":"2026-02-11T15:42:50.200Z","uuid":"d37985a5-fcc4-4edf-90de-a85588453af1"}
{"parentUuid":"d37985a5-fcc4-4edf-90de-a85588453af1","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01LvDiq5p84VGw35GKqEpxp3","toolUseID":"toolu_01LvDiq5p84VGw35GKqEpxp3","timestamp":"2026-02-11T15:42:50.200Z","uuid":"a4a936fb-ab6c-418c-81a4-a2168a13a88d"}
{"parentUuid":"3e477b35-b547-4b3f-bcd1-e0d36f5c1c51","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LvDiq5p84VGw35GKqEpxp3","type":"tool_result","content":"File created successfully at: /home/josie/development/personal/Vulnhalla/data/queries/go/issues/Reflected XSS.ql"}]},"uuid":"9c9e4cf8-ef08-48bd-aa5c-15f33575a560","timestamp":"2026-02-11T15:42:50.198Z","toolUseResult":{"type":"create","filePath":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Reflected XSS.ql","content":"/**\n * @name Reflected XSS\n * @description Writing user-controlled data directly to an HTTP response allows\n *              cross-site scripting attacks.\n * @kind path-problem\n * @id go/reflected-xss\n * @problem.severity error\n * @security-severity 6.1\n * @precision high\n * @tags security\n *       external/cwe/cwe-079\n */\n\nimport go\nimport semmle.go.dataflow.TaintTracking\nimport semmle.go.security.ReflectedXss\nimport ReflectedXss::Flow::PathGraph\n\nfrom ReflectedXss::Flow::PathNode source, ReflectedXss::Flow::PathNode sink\nwhere ReflectedXss::Flow::flowPath(source, sink)\nselect sink.getNode(), source, sink,\n  \"This response depends on a $@.\", source.getNode(), \"user-provided value\"\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"3e477b35-b547-4b3f-bcd1-e0d36f5c1c51"}
{"parentUuid":"9c9e4cf8-ef08-48bd-aa5c-15f33575a560","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01AAAsrC7hX3Nysuig22XMTN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PRyUQqsZW96d3NYvPdairN","name":"Write","input":{"file_path":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Server-side request forgery.ql","content":"/**\n * @name Server-side request forgery\n * @description Making HTTP requests using user-controlled URLs can lead to\n *              server-side request forgery attacks.\n * @kind path-problem\n * @id go/ssrf\n * @problem.severity error\n * @security-severity 9.1\n * @precision high\n * @tags security\n *       external/cwe/cwe-918\n */\n\nimport go\nimport semmle.go.dataflow.TaintTracking\nimport semmle.go.security.RequestForgery\nimport RequestForgery::Flow::PathGraph\n\nfrom RequestForgery::Flow::PathNode source, RequestForgery::Flow::PathNode sink\nwhere RequestForgery::Flow::flowPath(source, sink)\nselect sink.getNode(), source, sink,\n  \"This request depends on a $@.\", source.getNode(), \"user-provided value\"\n"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1654,"cache_read_input_tokens":29097,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1654},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y73g6Sbhn4VYyVYrJT","type":"assistant","uuid":"fa1dafd4-facd-41bc-80cd-78e3a6bc6cf7","timestamp":"2026-02-11T15:42:52.642Z"}
{"parentUuid":"fa1dafd4-facd-41bc-80cd-78e3a6bc6cf7","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Write","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_01PRyUQqsZW96d3NYvPdairN","parentToolUseID":"toolu_01PRyUQqsZW96d3NYvPdairN","uuid":"0f5320e5-e126-4987-bd17-78422f447525","timestamp":"2026-02-11T15:42:52.643Z"}
{"type":"file-history-snapshot","messageId":"fa1dafd4-facd-41bc-80cd-78e3a6bc6cf7","snapshot":{"messageId":"8a823ea7-5cc5-4be9-96f7-c9740ff3d4c9","trackedFileBackups":{"data/queries/go/issues/Reflected XSS.ql":{"backupFileName":null,"version":1,"backupTime":"2026-02-11T15:42:50.197Z"},"data/queries/go/issues/Server-side request forgery.ql":{"backupFileName":null,"version":1,"backupTime":"2026-02-11T15:42:52.698Z"}},"timestamp":"2026-02-11T15:42:30.866Z"},"isSnapshotUpdate":true}
{"parentUuid":"0f5320e5-e126-4987-bd17-78422f447525","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_01PRyUQqsZW96d3NYvPdairN","toolUseID":"toolu_01PRyUQqsZW96d3NYvPdairN","timestamp":"2026-02-11T15:42:52.700Z","uuid":"fa1981f5-934f-4774-a0b6-52b6d944f142"}
{"parentUuid":"fa1981f5-934f-4774-a0b6-52b6d944f142","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01PRyUQqsZW96d3NYvPdairN","toolUseID":"toolu_01PRyUQqsZW96d3NYvPdairN","timestamp":"2026-02-11T15:42:52.700Z","uuid":"bdfd03cc-3dff-4ef1-b1ca-4e59161e3b10"}
{"parentUuid":"fa1dafd4-facd-41bc-80cd-78e3a6bc6cf7","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PRyUQqsZW96d3NYvPdairN","type":"tool_result","content":"File created successfully at: /home/josie/development/personal/Vulnhalla/data/queries/go/issues/Server-side request forgery.ql"}]},"uuid":"efcbdbfd-b55f-4797-ae61-98f5445c3ce2","timestamp":"2026-02-11T15:42:52.699Z","toolUseResult":{"type":"create","filePath":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Server-side request forgery.ql","content":"/**\n * @name Server-side request forgery\n * @description Making HTTP requests using user-controlled URLs can lead to\n *              server-side request forgery attacks.\n * @kind path-problem\n * @id go/ssrf\n * @problem.severity error\n * @security-severity 9.1\n * @precision high\n * @tags security\n *       external/cwe/cwe-918\n */\n\nimport go\nimport semmle.go.dataflow.TaintTracking\nimport semmle.go.security.RequestForgery\nimport RequestForgery::Flow::PathGraph\n\nfrom RequestForgery::Flow::PathNode source, RequestForgery::Flow::PathNode sink\nwhere RequestForgery::Flow::flowPath(source, sink)\nselect sink.getNode(), source, sink,\n  \"This request depends on a $@.\", source.getNode(), \"user-provided value\"\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"fa1dafd4-facd-41bc-80cd-78e3a6bc6cf7"}
{"parentUuid":"efcbdbfd-b55f-4797-ae61-98f5445c3ce2","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01AAAsrC7hX3Nysuig22XMTN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014XFw228oLAMaqcPkZHsuyw","name":"Write","input":{"file_path":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Open URL redirect.ql","content":"/**\n * @name Open URL redirect\n * @description Redirecting to a URL controlled by user input without validation\n *              may enable phishing attacks.\n * @kind path-problem\n * @id go/open-redirect\n * @problem.severity error\n * @security-severity 6.1\n * @precision high\n * @tags security\n *       external/cwe/cwe-601\n */\n\nimport go\nimport semmle.go.dataflow.TaintTracking\nimport semmle.go.security.OpenUrlRedirect\nimport OpenUrlRedirect::Flow::PathGraph\n\nfrom OpenUrlRedirect::Flow::PathNode source, OpenUrlRedirect::Flow::PathNode sink\nwhere OpenUrlRedirect::Flow::flowPath(source, sink)\nselect sink.getNode(), source, sink,\n  \"This redirect depends on a $@.\", source.getNode(), \"user-provided value\"\n"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1654,"cache_read_input_tokens":29097,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1654},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y73g6Sbhn4VYyVYrJT","type":"assistant","uuid":"2a955a37-1418-440d-a2c1-8f67abf6d30c","timestamp":"2026-02-11T15:42:55.314Z"}
{"parentUuid":"2a955a37-1418-440d-a2c1-8f67abf6d30c","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Write","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_014XFw228oLAMaqcPkZHsuyw","parentToolUseID":"toolu_014XFw228oLAMaqcPkZHsuyw","uuid":"5079fb21-8d2a-4a84-961d-7e562dc045c7","timestamp":"2026-02-11T15:42:55.316Z"}
{"type":"file-history-snapshot","messageId":"2a955a37-1418-440d-a2c1-8f67abf6d30c","snapshot":{"messageId":"8a823ea7-5cc5-4be9-96f7-c9740ff3d4c9","trackedFileBackups":{"data/queries/go/issues/Reflected XSS.ql":{"backupFileName":null,"version":1,"backupTime":"2026-02-11T15:42:50.197Z"},"data/queries/go/issues/Server-side request forgery.ql":{"backupFileName":null,"version":1,"backupTime":"2026-02-11T15:42:52.698Z"},"data/queries/go/issues/Open URL redirect.ql":{"backupFileName":null,"version":1,"backupTime":"2026-02-11T15:42:55.368Z"}},"timestamp":"2026-02-11T15:42:30.866Z"},"isSnapshotUpdate":true}
{"parentUuid":"5079fb21-8d2a-4a84-961d-7e562dc045c7","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_014XFw228oLAMaqcPkZHsuyw","toolUseID":"toolu_014XFw228oLAMaqcPkZHsuyw","timestamp":"2026-02-11T15:42:55.369Z","uuid":"b27a7daf-a8f3-49fe-b831-1dc918aac7aa"}
{"parentUuid":"b27a7daf-a8f3-49fe-b831-1dc918aac7aa","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_014XFw228oLAMaqcPkZHsuyw","toolUseID":"toolu_014XFw228oLAMaqcPkZHsuyw","timestamp":"2026-02-11T15:42:55.369Z","uuid":"e8d16420-e191-4dbc-8e45-ffbd7ede58a7"}
{"parentUuid":"2a955a37-1418-440d-a2c1-8f67abf6d30c","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014XFw228oLAMaqcPkZHsuyw","type":"tool_result","content":"File created successfully at: /home/josie/development/personal/Vulnhalla/data/queries/go/issues/Open URL redirect.ql"}]},"uuid":"e03249fa-730c-4c4f-be62-af6ef80009e8","timestamp":"2026-02-11T15:42:55.369Z","toolUseResult":{"type":"create","filePath":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Open URL redirect.ql","content":"/**\n * @name Open URL redirect\n * @description Redirecting to a URL controlled by user input without validation\n *              may enable phishing attacks.\n * @kind path-problem\n * @id go/open-redirect\n * @problem.severity error\n * @security-severity 6.1\n * @precision high\n * @tags security\n *       external/cwe/cwe-601\n */\n\nimport go\nimport semmle.go.dataflow.TaintTracking\nimport semmle.go.security.OpenUrlRedirect\nimport OpenUrlRedirect::Flow::PathGraph\n\nfrom OpenUrlRedirect::Flow::PathNode source, OpenUrlRedirect::Flow::PathNode sink\nwhere OpenUrlRedirect::Flow::flowPath(source, sink)\nselect sink.getNode(), source, sink,\n  \"This redirect depends on a $@.\", source.getNode(), \"user-provided value\"\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"2a955a37-1418-440d-a2c1-8f67abf6d30c"}
{"parentUuid":"e03249fa-730c-4c4f-be62-af6ef80009e8","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01AAAsrC7hX3Nysuig22XMTN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NMd7C6iTZjRdoEaNrmjvoA","name":"Write","input":{"file_path":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Log injection.ql","content":"/**\n * @name Log injection\n * @description Writing user-controlled data to log entries without sanitization\n *              can allow log forging and injection attacks.\n * @kind path-problem\n * @id go/log-injection\n * @problem.severity error\n * @security-severity 7.8\n * @precision high\n * @tags security\n *       external/cwe/cwe-117\n */\n\nimport go\nimport semmle.go.dataflow.TaintTracking\nimport semmle.go.security.LogInjection\nimport LogInjection::Flow::PathGraph\n\nfrom LogInjection::Flow::PathNode source, LogInjection::Flow::PathNode sink\nwhere LogInjection::Flow::flowPath(source, sink)\nselect sink.getNode(), source, sink,\n  \"This log entry depends on a $@.\", source.getNode(), \"user-provided value\"\n"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1654,"cache_read_input_tokens":29097,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1654},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y73g6Sbhn4VYyVYrJT","type":"assistant","uuid":"f4fe39f2-1de5-4813-bae3-7bfae8811350","timestamp":"2026-02-11T15:42:57.858Z"}
{"parentUuid":"f4fe39f2-1de5-4813-bae3-7bfae8811350","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Write","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_01NMd7C6iTZjRdoEaNrmjvoA","parentToolUseID":"toolu_01NMd7C6iTZjRdoEaNrmjvoA","uuid":"f4b22902-67af-40fc-b974-7a90ecc73231","timestamp":"2026-02-11T15:42:57.859Z"}
{"type":"file-history-snapshot","messageId":"f4fe39f2-1de5-4813-bae3-7bfae8811350","snapshot":{"messageId":"8a823ea7-5cc5-4be9-96f7-c9740ff3d4c9","trackedFileBackups":{"data/queries/go/issues/Reflected XSS.ql":{"backupFileName":null,"version":1,"backupTime":"2026-02-11T15:42:50.197Z"},"data/queries/go/issues/Server-side request forgery.ql":{"backupFileName":null,"version":1,"backupTime":"2026-02-11T15:42:52.698Z"},"data/queries/go/issues/Open URL redirect.ql":{"backupFileName":null,"version":1,"backupTime":"2026-02-11T15:42:55.368Z"},"data/queries/go/issues/Log injection.ql":{"backupFileName":null,"version":1,"backupTime":"2026-02-11T15:42:57.913Z"}},"timestamp":"2026-02-11T15:42:30.866Z"},"isSnapshotUpdate":true}
{"parentUuid":"f4b22902-67af-40fc-b974-7a90ecc73231","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_01NMd7C6iTZjRdoEaNrmjvoA","toolUseID":"toolu_01NMd7C6iTZjRdoEaNrmjvoA","timestamp":"2026-02-11T15:42:57.915Z","uuid":"e858cfb5-5ee8-48ea-a805-a2ac2a7d3418"}
{"parentUuid":"e858cfb5-5ee8-48ea-a805-a2ac2a7d3418","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01NMd7C6iTZjRdoEaNrmjvoA","toolUseID":"toolu_01NMd7C6iTZjRdoEaNrmjvoA","timestamp":"2026-02-11T15:42:57.915Z","uuid":"25136c5f-fe31-4c82-826c-d4e0c42b2712"}
{"parentUuid":"f4fe39f2-1de5-4813-bae3-7bfae8811350","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NMd7C6iTZjRdoEaNrmjvoA","type":"tool_result","content":"File created successfully at: /home/josie/development/personal/Vulnhalla/data/queries/go/issues/Log injection.ql"}]},"uuid":"ae367f1f-0858-44f0-b1f0-85170f9d977f","timestamp":"2026-02-11T15:42:57.914Z","toolUseResult":{"type":"create","filePath":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/Log injection.ql","content":"/**\n * @name Log injection\n * @description Writing user-controlled data to log entries without sanitization\n *              can allow log forging and injection attacks.\n * @kind path-problem\n * @id go/log-injection\n * @problem.severity error\n * @security-severity 7.8\n * @precision high\n * @tags security\n *       external/cwe/cwe-117\n */\n\nimport go\nimport semmle.go.dataflow.TaintTracking\nimport semmle.go.security.LogInjection\nimport LogInjection::Flow::PathGraph\n\nfrom LogInjection::Flow::PathNode source, LogInjection::Flow::PathNode sink\nwhere LogInjection::Flow::flowPath(source, sink)\nselect sink.getNode(), source, sink,\n  \"This log entry depends on a $@.\", source.getNode(), \"user-provided value\"\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"f4fe39f2-1de5-4813-bae3-7bfae8811350"}
{"parentUuid":"ae367f1f-0858-44f0-b1f0-85170f9d977f","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01AAAsrC7hX3Nysuig22XMTN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Crb38r3qnaKzRAWu5A71X7","name":"Write","input":{"file_path":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/XPath injection.ql","content":"/**\n * @name XPath injection\n * @description Building XPath expressions from user-controlled sources is vulnerable\n *              to insertion of malicious XPath code by the user.\n * @kind path-problem\n * @id go/xpath-injection\n * @problem.severity error\n * @security-severity 9.8\n * @precision high\n * @tags security\n *       external/cwe/cwe-643\n */\n\nimport go\nimport semmle.go.dataflow.TaintTracking\nimport semmle.go.security.XPathInjection\nimport XPathInjection::Flow::PathGraph\n\nfrom XPathInjection::Flow::PathNode source, XPathInjection::Flow::PathNode sink\nwhere XPathInjection::Flow::flowPath(source, sink)\nselect sink.getNode(), source, sink,\n  \"This XPath expression depends on a $@.\", source.getNode(), \"user-provided value\"\n"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1654,"cache_read_input_tokens":29097,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1654},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2Y73g6Sbhn4VYyVYrJT","type":"assistant","uuid":"2a6c40f9-d1e9-4d2d-a1dd-2a39313a0f93","timestamp":"2026-02-11T15:43:00.566Z"}
{"parentUuid":"2a6c40f9-d1e9-4d2d-a1dd-2a39313a0f93","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Write","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_01Crb38r3qnaKzRAWu5A71X7","parentToolUseID":"toolu_01Crb38r3qnaKzRAWu5A71X7","uuid":"5ad3f021-e1a5-4b47-b096-630d70bd7b69","timestamp":"2026-02-11T15:43:00.567Z"}
{"type":"file-history-snapshot","messageId":"2a6c40f9-d1e9-4d2d-a1dd-2a39313a0f93","snapshot":{"messageId":"8a823ea7-5cc5-4be9-96f7-c9740ff3d4c9","trackedFileBackups":{"data/queries/go/issues/Reflected XSS.ql":{"backupFileName":null,"version":1,"backupTime":"2026-02-11T15:42:50.197Z"},"data/queries/go/issues/Server-side request forgery.ql":{"backupFileName":null,"version":1,"backupTime":"2026-02-11T15:42:52.698Z"},"data/queries/go/issues/Open URL redirect.ql":{"backupFileName":null,"version":1,"backupTime":"2026-02-11T15:42:55.368Z"},"data/queries/go/issues/Log injection.ql":{"backupFileName":null,"version":1,"backupTime":"2026-02-11T15:42:57.913Z"},"data/queries/go/issues/XPath injection.ql":{"backupFileName":null,"version":1,"backupTime":"2026-02-11T15:43:00.626Z"}},"timestamp":"2026-02-11T15:42:30.866Z"},"isSnapshotUpdate":true}
{"parentUuid":"5ad3f021-e1a5-4b47-b096-630d70bd7b69","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_01Crb38r3qnaKzRAWu5A71X7","toolUseID":"toolu_01Crb38r3qnaKzRAWu5A71X7","timestamp":"2026-02-11T15:43:00.628Z","uuid":"3ee5b17f-c7af-4e5f-bd3f-63e7f329cc8d"}
{"parentUuid":"3ee5b17f-c7af-4e5f-bd3f-63e7f329cc8d","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Write","command":"callback"},"parentToolUseID":"toolu_01Crb38r3qnaKzRAWu5A71X7","toolUseID":"toolu_01Crb38r3qnaKzRAWu5A71X7","timestamp":"2026-02-11T15:43:00.628Z","uuid":"a2e78b05-16af-43bd-8721-6481875dec08"}
{"parentUuid":"2a6c40f9-d1e9-4d2d-a1dd-2a39313a0f93","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Crb38r3qnaKzRAWu5A71X7","type":"tool_result","content":"File created successfully at: /home/josie/development/personal/Vulnhalla/data/queries/go/issues/XPath injection.ql"}]},"uuid":"682b1fcb-5253-4520-9253-f3717c56544c","timestamp":"2026-02-11T15:43:00.627Z","toolUseResult":{"type":"create","filePath":"/home/josie/development/personal/Vulnhalla/data/queries/go/issues/XPath injection.ql","content":"/**\n * @name XPath injection\n * @description Building XPath expressions from user-controlled sources is vulnerable\n *              to insertion of malicious XPath code by the user.\n * @kind path-problem\n * @id go/xpath-injection\n * @problem.severity error\n * @security-severity 9.8\n * @precision high\n * @tags security\n *       external/cwe/cwe-643\n */\n\nimport go\nimport semmle.go.dataflow.TaintTracking\nimport semmle.go.security.XPathInjection\nimport XPathInjection::Flow::PathGraph\n\nfrom XPathInjection::Flow::PathNode source, XPathInjection::Flow::PathNode sink\nwhere XPathInjection::Flow::flowPath(source, sink)\nselect sink.getNode(), source, sink,\n  \"This XPath expression depends on a $@.\", source.getNode(), \"user-provided value\"\n","structuredPatch":[],"originalFile":null},"sourceToolAssistantUUID":"2a6c40f9-d1e9-4d2d-a1dd-2a39313a0f93"}
{"parentUuid":"682b1fcb-5253-4520-9253-f3717c56544c","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"29d3533f-c5ad-4eea-86c2-64160a9dc5bf","version":"2.1.38","gitBranch":"main","slug":"logical-herding-rain","message":{"model":"claude-opus-4-6","id":"msg_01AAAsrC7hX3Nysuig22XMTN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015bs774yc4iXP8V4ZdhamST","name":"Write","input":{"file_path":"/home/josie/development/personal/V// Copyright (c) 2017-2025 Advanced Micro Devices, Inc. All rights reserved.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
// THE SOFTWARE.

#ifndef HIPRAND_HPP_
#define HIPRAND_HPP_

// At least C++11 required
#if defined(__cplusplus) && __cplusplus >= 201103L

#include <random>
#include <exception>
#include <string>
#include <sstream>
#include <type_traits>
#include <limits>

#include "hiprand/hiprand.h"
#include "hiprand/hiprand_kernel.h"

namespace hiprand_cpp {

/// \addtogroup hiprandhostcpp
/// @{

/// \class error
/// \brief A run-time hipRAND error.
///
/// The error class represents an error returned
/// by a hipRAND function.
class error : public std::exception
{
public:
    /// hipRAND error code type
    typedef hiprandStatus_t error_type;

    /// Constructs new error object from error code \p error.
    ///
    /// \param error error code
    error(error_type error) noexcept
        : m_error(error),
          m_error_string(to_string(error))
    {
    }

    ~error() noexcept
    {
    }

    /// Returns the numeric error code.
    error_type error_code() const noexcept
    {
        return m_error;
    }

    /// Returns a string description of the error.
    std::string error_string() const noexcept
    {
        return m_error_string;
    }

    /// Returns a C-string description of the error.
    const char* what() const noexcept
    {
        return m_error_string.c_str();
    }

    /// Static function which converts the numeric hipRAND
    /// error code \p error to a human-readable string.
    ///
    /// If the error code is unknown, a string containing
    /// "Unknown hipRAND error" along with the error code
    /// \p error will be returned.
    static std::string to_string(error_type error)
    {
        switch(error)
        {
            case HIPRAND_STATUS_SUCCESS:
                return "Success";
            case HIPRAND_STATUS_VERSION_MISMATCH:
                return "Header file and linked library version do not match";
            case HIPRAND_STATUS_NOT_INITIALIZED:
                return "Generator was not created using hiprandCreateGenerator";
            case HIPRAND_STATUS_ALLOCATION_FAILED:
                return "Memory allocation failed during execution";
            case HIPRAND_STATUS_TYPE_ERROR:
                return "Generator type is wrong";
            case HIPRAND_STATUS_OUT_OF_RANGE:
                return "Argument out of range";
            case HIPRAND_STATUS_LENGTH_NOT_MULTIPLE:
                return "Length requested is not a multiple of dimension";
            case HIPRAND_STATUS_DOUBLE_PRECISION_REQUIRED:
                return "GPU does not have double precision";
            case HIPRAND_STATUS_LAUNCH_FAILURE:
                return "Kernel launch failure";
            case HIPRAND_STATUS_PREEXISTING_FAILURE:
                return "Preexisting failure on library entry";
            case HIPRAND_STATUS_INITIALIZATION_FAILED:
                return "Initialization of HIP failed";
            case HIPRAND_STATUS_ARCH_MISMATCH:
                return "Architecture mismatch, GPU does not support requested feature";
            case HIPRAND_STATUS_INTERNAL_ERROR:
                return "Internal library error";
            case HIPRAND_STATUS_NOT_IMPLEMENTED:
                return "Feature not implemented yet";
            default: {
                std::stringstream s;
                s << "Unknown hipRAND error (" << error << ")";
                return s.str();
            }
        }
    }

    /// Compares two error objects for equality.
    friend
    bool operator==(const error& l, const error& r)
    {
        return l.error_code() == r.error_code();
    }

    /// Compares two error objects for inequality.
    friend
    bool operator!=(const error& l, const error& r)
    {
        return !(l == r);
    }

private:
    error_type m_error;
    std::string m_error_string;
};

/// \class uniform_int_distribution
///
/// \brief Produces random integer values uniformly distributed on the interval [0, 2^(sizeof(IntType)*8) - 1].
///
/// \tparam IntType type of generated values.
/// Only <tt>unsigned char</tt>, <tt>unsigned short</tt>, <tt>unsigned int</tt>, <tt>unsigned long long int</tt> are supported.
template<class IntType = unsigned int>
class uniform_int_distribution
{
    static_assert(std::is_same<unsigned char, IntType>::value
                      || std::is_same<unsigned short, IntType>::value
                      || std::is_same<unsigned int, IntType>::value
                      || std::is_same<unsigned long long int, IntType>::value,
                  "Only unsigned int type is supported in uniform_int_distribution");

public:
    /// \brief The type of result generated by the distribution.
    typedef IntType result_type;

    /// Default constructor
    uniform_int_distribution()
    {
    }

    /// Resets distribution's internal state if there is any.
    void reset()
    {
    }

    /// Returns the smallest possible value that can be generated.
    IntType min() const
    {
        return 0;
    }

    /// Returns the largest possible value that can be generated.
    IntType max() const
    {
        return std::numeric_limits<IntType>::max();
    }

    /// \brief Fills \p output with uniformly distributed random integer values.
    ///
    /// Generates \p size random integer values uniformly distributed
    /// on the  interval [0, 2^(sizeof(IntType)*8) - 1], and stores them into the device memory
    /// referenced by \p output pointer.
    ///
    /// \param g An uniform random number generator object
    /// \param output Pointer to device memory to store results
    /// \param size Number of values to generate
    ///
    /// Requirements:
    /// * The device memory pointed by \p output must have been previously allocated
    /// and be large enough to store at least \p size values of \p IntType type.
    /// * If generator \p g is a quasi-random number generator,
    /// then \p size must be a multiple of that generator's dimension.
    ///
    /// See also: hiprandGenerate(), hiprandGenerateChar(), hiprandGenerateShort(), hiprandGenerateLongLong()
    template<class Generator>
    void operator()(Generator& g, IntType * output, size_t size)
    {
        hiprandStatus_t status;
        status = this->generate(g, output, size);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// Returns \c true if the distribution is the same as \p other.
    bool operator==(const uniform_int_distribution<IntType>& other)
    {
        (void) other;
        return true;
    }

    /// Returns \c true if the distribution is different from \p other.
    bool operator!=(const uniform_int_distribution<IntType>& other)
    {
        return !(*this == other);
    }

private:
    template<class Generator>
    hiprandStatus_t generate(Generator& g, unsigned char * output, size_t size)
    {
        return hiprandGenerateChar(g.m_generator, output, size);
    }

    template<class Generator>
    hiprandStatus_t generate(Generator& g, unsigned short * output, size_t size)
    {
        return hiprandGenerateShort(g.m_generator, output, size);
    }

    template<class Generator>
    hiprandStatus_t generate(Generator& g, unsigned int * output, size_t size)
    {
        return hiprandGenerate(g.m_generator, output, size);
    }

    template<class Generator>
    hiprandStatus_t generate(Generator& g, unsigned long long int* output, size_t size)
    {
        return hiprandGenerateLongLong(g.m_generator, output, size);
    }
};

/// \class uniform_real_distribution
///
/// \brief Produces random floating-point values uniformly distributed on the interval (0, 1].
///
/// \tparam RealType type of generated values. Only \p float, \p double and \p half types are supported.
template<class RealType = float>
class uniform_real_distribution
{
    static_assert(
        std::is_same<float, RealType>::value
        || std::is_same<double, RealType>::value
        || std::is_same<half, RealType>::value,
        "Only float, double, and half types are supported in uniform_real_distribution"
    );

public:
    /// \brief The type of result generated by the distribution.
    typedef RealType result_type;

    /// Default constructor
    uniform_real_distribution()
    {
    }

    /// Resets distribution's internal state if there is any.
    void reset()
    {
    }

    /// Returns the smallest possible value that can be generated.
    RealType min() const
    {
        if(std::is_same<float, RealType>::value)
        {
            return static_cast<RealType>(2.3283064e-10f);
        }
        return static_cast<RealType>(2.3283064365386963e-10);
    }

    /// Returns the largest possible value that can be generated.
    RealType max() const
    {
        return 1.0;
    }

    /// \brief Fills \p output with uniformly distributed random floating-point values.
    ///
    /// Generates \p size random floating-point values uniformly distributed
    /// on the interval (0, 1], and stores them into the device memory referenced
    /// by \p output pointer.
    ///
    /// \param g An uniform random number generator object
    /// \param output Pointer to device memory to store results
    /// \param size Number of values to generate
    ///
    /// Requirements:
    /// * The device memory pointed by \p output must have been previously allocated
    /// and be large enough to store at least \p size values of \p RealType type.
    /// * If generator \p g is a quasi-random number generator (`hiprand_cpp::sobol32_engine`),
    /// then \p size must be a multiple of that generator's dimension.
    ///
    /// See also: hiprandGenerateUniform(), hiprandGenerateUniformDouble(), hiprandGenerateUniformHalf()
    template<class Generator>
    void operator()(Generator& g, RealType * output, size_t size)
    {
        hiprandStatus_t status;
        status = this->generate(g, output, size);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// Returns \c true if the distribution is the same as \p other.
    bool operator==(const uniform_real_distribution<RealType>& other)
    {
        (void) other;
        return true;
    }

    /// Returns \c true if the distribution is different from \p other.
    bool operator!=(const uniform_real_distribution<RealType>& other)
    {
        return !(*this == other);
    }

private:
    template<class Generator>
    hiprandStatus_t generate(Generator& g, float * output, size_t size)
    {
        return hiprandGenerateUniform(g.m_generator, output, size);
    }

    template<class Generator>
    hiprandStatus_t generate(Generator& g, double * output, size_t size)
    {
        return hiprandGenerateUniformDouble(g.m_generator, output, size);
    }

    template<class Generator>
    hiprandStatus_t generate(Generator& g, half * output, size_t size)
    {
        return hiprandGenerateUniformHalf(g.m_generator, output, size);
    }
};

/// \class normal_distribution
///
/// \brief Produces random numbers according to a normal distribution.
///
/// \tparam RealType type of generated values. Only \p float, \p double and \p half types are supported.
template<class RealType = float>
class normal_distribution
{
    static_assert(
        std::is_same<float, RealType>::value
        || std::is_same<double, RealType>::value
        || std::is_same<half, RealType>::value,
        "Only float, double and half types are supported in normal_distribution"
    );

public:
    /// \brief The type of result generated by the distribution.
    typedef RealType result_type;

    /// \class param_type
    /// \brief The type of the distribution parameter set.
    class param_type
    {
    public:
        /// \brief The distribution type associated with this parameter set.
        using distribution_type = normal_distribution<RealType>;

        /// \brief Constructs a parameter set with the given mean and standard deviation.
        /// \param mean Mean value of the distribution (default 0.0).
        /// \param stddev Standard deviation of the distribution (default 1.0).
        param_type(RealType mean = 0.0, RealType stddev = 1.0)
            : m_mean(mean), m_stddev(stddev)
        {
        }

        /// \brief Returns the deviation distribution parameter.
        ///
        /// The default value is 1.0.
        RealType mean() const
        {
            return m_mean;
        }

        /// \brief Returns the standard deviation distribution parameter.
        ///
        /// The default value is 1.0.
        RealType stddev() const
        {
            return m_stddev;
        }

        /// Returns \c true if the param_type is the same as \p other.
        bool operator==(const param_type& other)
        {
            return m_mean == other.m_mean && m_stddev == other.m_stddev;
        }

        /// Returns \c true if the param_type is different from \p other.
        bool operator!=(const param_type& other)
        {
            return !(*this == other);
        }
    private:
        RealType m_mean;
        RealType m_stddev;
    };

    /// \brief Constructs a new distribution object.
    /// \param mean A mean distribution parameter
    /// \param stddev A standard deviation distribution parameter
    normal_distribution(RealType mean = 0.0, RealType stddev = 1.0)
        : m_params(mean, stddev)
    {
    }

    /// \brief Constructs a new distribution object.
    /// \param params Distribution parameters
    normal_distribution(const param_type& params)
        : m_params(params)
    {
    }

    /// Resets distribution's internal state if there is any.
    void reset()
    {
    }

    /// \brief Returns the mean distribution parameter.
    ///
    /// The mean specifies the location of the peak. The default value is 0.0.
    RealType mean() const
    {
        return m_params.mean();
    }

    /// \brief Returns the standard deviation distribution parameter.
    ///
    /// The default value is 1.0.
    RealType stddev() const
    {
        return m_params.stddev();
    }

    /// Returns the smallest possible value that can be generated.
    RealType min() const
    {
        return std::numeric_limits<RealType>::lowest();
    }

    /// Returns the largest possible value that can be generated.
    RealType max() const
    {
        return std::numeric_limits<RealType>::max();
    }

    /// Returns the distribution parameter object
    param_type param() const
    {
        return m_params;
    }

    /// Sets the distribution parameter object
    void param(const param_type& params)
    {
        m_params = params;
    }

    /// \brief Fills \p output with normally distributed random floating-point values.
    ///
    /// Generates \p size random floating-point values distributed according to a normal distribution,
    /// and stores them into the device memory referenced by \p output pointer.
    ///
    /// \param g An uniform random number generator object
    /// \param output Pointer to device memory to store results
    /// \param size Number of values to generate
    ///
    /// Requirements:
    /// * The device memory pointed by \p output must have been previously allocated
    /// and be large enough to store at least \p size values of \p RealType type.
    /// * Pointer \p output must be aligned to <tt>2 * sizeof(RealType)</tt> bytes.
    /// * \p size must be even.
    /// * If generator \p g is a quasi-random number generator (`hiprand_cpp::sobol32_engine`),
    /// then \p size must be a multiple of that generator's dimension.
    ///
    /// See also: hiprandGenerateNormal(), hiprandGenerateNormalDouble(), hiprandGenerateNormalHalf()
    template<class Generator>
    void operator()(Generator& g, RealType * output, size_t size)
    {
        hiprandStatus_t status;
        status = this->generate(g, output, size);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \brief Returns \c true if the distribution is the same as \p other.
    ///
    /// Two distribution are equal, if their parameters are equal.
    bool operator==(const normal_distribution<RealType>& other)
    {
        return this->m_params == other.m_params;
    }

    /// \brief Returns \c true if the distribution is different from \p other.
    ///
    /// Two distribution are equal, if their parameters are equal.
    bool operator!=(const normal_distribution<RealType>& other)
    {
        return !(*this == other);
    }

private:
    template<class Generator>
    hiprandStatus_t generate(Generator& g, float * output, size_t size)
    {
        return hiprandGenerateNormal(
            g.m_generator, output, size, this->mean(), this->stddev()
        );
    }

    template<class Generator>
    hiprandStatus_t generate(Generator& g, double * output, size_t size)
    {
        return hiprandGenerateNormalDouble(
            g.m_generator, output, size, this->mean(), this->stddev()
        );
    }

    template<class Generator>
    hiprandStatus_t generate(Generator& g, half * output, size_t size)
    {
        return hiprandGenerateNormalHalf(
            g.m_generator, output, size, this->mean(), this->stddev()
        );
    }

    param_type m_params;
};

/// \class lognormal_distribution
///
/// \brief Produces positive random numbers according to a log-normal distribution.
///
/// \tparam RealType type of generated values. Only \p float, \p double and \p half types are supported.
template<class RealType = float>
class lognormal_distribution
{
    static_assert(
        std::is_same<float, RealType>::value
        || std::is_same<double, RealType>::value
        || std::is_same<half, RealType>::value,
        "Only float, double and half types are supported in lognormal_distribution"
    );

public:
    /// \brief The type of result generated by the distribution.
    typedef RealType result_type;

    /// \class param_type
    /// \brief The type of the distribution parameter set.
    class param_type
    {
    public:
        /// \brief The distribution type associated with this parameter set.
        using distribution_type = lognormal_distribution<RealType>;

        /// \brief Constructs a parameter set with the given mean and standard deviation.
        /// \param m Mean value of the distribution (default 0.0).
        /// \param s Standard deviation of the distribution (default 1.0).
        param_type(RealType m = 0.0, RealType s = 1.0)
            : m_mean(m), m_stddev(s)
        {
        }

        /// \brief Returns the deviation distribution parameter.
        ///
        /// The default value is 1.0.
        RealType m() const
        {
            return m_mean;
        }

        /// \brief Returns the deviation distribution parameter.
        ///
        /// The default value is 1.0.
        RealType s() const
        {
            return m_stddev;
        }

        /// Returns \c true if the param_type is the same as \p other.
        bool operator==(const param_type& other)
        {
            return m_mean == other.m_mean && m_stddev == other.m_stddev;
        }

        /// Returns \c true if the param_type is different from \p other.
        bool operator!=(const param_type& other)
        {
            return !(*this == other);
        }
    private:
        RealType m_mean;
        RealType m_stddev;
    };

    /// \brief Constructs a new distribution object.
    /// \param m A mean distribution parameter
    /// \param s A standard deviation distribution parameter
    lognormal_distribution(RealType m = 0.0, RealType s = 1.0)
        : m_params(m, s)
    {
    }

    /// \brief Constructs a new distribution object.
    /// \param params Distribution parameters
    lognormal_distribution(const param_type& params)
        : m_params(params)
    {
    }

    /// Resets distribution's internal state if there is any.
    void reset()
    {
    }

    /// \brief Returns the mean distribution parameter.
    ///
    /// The mean specifies the location of the peak. The default value is 0.0.
    RealType m() const
    {
        return m_params.m();
    }

    /// \brief Returns the standard deviation distribution parameter.
    ///
    /// The default value is 1.0.
    RealType s() const
    {
        return m_params.s();
    }

    /// Returns the distribution parameter object
    param_type param() const
    {
        return m_params;
    }

    /// Sets the distribution parameter object
    void param(const param_type& params)
    {
        m_params = params;
    }

    /// Returns the smallest possible value that can be generated.
    RealType min() const
    {
        return 0;
    }

    /// Returns the largest possible value that can be generated.
    RealType max() const
    {
        return std::numeric_limits<RealType>::max();
    }

    /// \brief Fills \p output with log-normally distributed random floating-point values.
    ///
    /// Generates \p size random floating-point values (greater than zero) distributed according
    /// to a log-normal distribution, and stores them into the device memory referenced
    /// by \p output pointer.
    ///
    /// \param g An uniform random number generator object
    /// \param output Pointer to device memory to store results
    /// \param size Number of values to generate
    ///
    /// Requirements:
    /// * The device memory pointed by \p output must have been previously allocated
    /// and be large enough to store at least \p size values of \p RealType type.
    /// * Pointer \p output must be aligned to <tt>2 * sizeof(RealType)</tt> bytes.
    /// * \p size must be even.
    /// * If generator \p g is a quasi-random number generator (`hiprand_cpp::sobol32_engine`),
    /// then \p size must be a multiple of that generator's dimension.
    ///
    /// See also: hiprandGenerateLogNormal(), hiprandGenerateLogNormalDouble(), hiprandGenerateLogNormalHalf()
    template<class Generator>
    void operator()(Generator& g, RealType * output, size_t size)
    {
        hiprandStatus_t status;
        status = this->generate(g, output, size);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \brief Returns \c true if the distribution is the same as \p other.
    ///
    /// Two distribution are equal, if their parameters are equal.
    bool operator==(const lognormal_distribution<RealType>& other)
    {
        return this->m_params == other.m_params;
    }

    /// \brief Returns \c true if the distribution is different from \p other.
    ///
    /// Two distribution are equal, if their parameters are equal.
    bool operator!=(const lognormal_distribution<RealType>& other)
    {
        return !(*this == other);
    }

private:
    template<class Generator>
    hiprandStatus_t generate(Generator& g, float * output, size_t size)
    {
        return hiprandGenerateLogNormal(
            g.m_generator, output, size, this->m(), this->s()
        );
    }

    template<class Generator>
    hiprandStatus_t generate(Generator& g, double * output, size_t size)
    {
        return hiprandGenerateLogNormalDouble(
            g.m_generator, output, size, this->m(), this->s()
        );
    }

    template<class Generator>
    hiprandStatus_t generate(Generator& g, half * output, size_t size)
    {
        return hiprandGenerateLogNormalHalf(
            g.m_generator, output, size, this->m(), this->s()
        );
    }

    param_type m_params;
};

/// \class poisson_distribution
///
/// \brief Produces random non-negative integer values distributed according to Poisson distribution.
///
/// \tparam IntType type of generated values. Only \p unsinged \p int type is supported.
template<class IntType = unsigned int>
class poisson_distribution
{
    static_assert(
        std::is_same<unsigned int, IntType>::value,
        "Only unsigned int type is supported in poisson_distribution"
    );

public:
    /// \brief The type of result generated by the distribution.
    typedef IntType result_type;

    /// \class param_type
    /// \brief The type of the distribution parameter set.
    class param_type
    {
    public:
        /// \brief The distribution type associated with this parameter set.
        using distribution_type = poisson_distribution<IntType>;

        /// \brief Constructs a parameter set with the given mean.
        /// \param mean Mean value of the distribution (default 0.0).
        param_type(double mean = 1.0)
            : m_mean(mean)
        {
        }

        /// \brief Returns the mean distribution parameter.
        ///
        /// The mean (also known as lambda) is the average number
        /// of events per interval. The default value is 1.0.
        double mean() const
        {
            return m_mean;
        }

        /// Returns \c true if the param_type is the same as \p other.
        bool operator==(const param_type& other)
        {
            return m_mean == other.m_mean;
        }

        /// Returns \c true if the param_type is different from \p other.
        bool operator!=(const param_type& other)
        {
            return !(*this == other);
        }

    private:
        double m_mean;
    };

    /// \brief Constructs a new distribution object.
    /// \param mean A mean distribution parameter.
    poisson_distribution(double mean = 1.0)
        : m_params(mean)
    {
    }

    /// \brief Constructs a new distribution object.
    /// \param params Distribution parameters
    poisson_distribution(const param_type& params)
        : m_params(params)
    {
    }

    /// Resets distribution's internal state if there is any.
    void reset()
    {
    }

    /// \brief Returns the mean distribution parameter.
    ///
    /// The mean (also known as lambda) is the average number
    /// of events per interval. The default value is 1.0.
    double mean() const
    {
        return m_params.mean();
    }

    /// Returns the smallest possible value that can be generated.
    IntType min() const
    {
        return 0;
    }

    /// Returns the largest possible value that can be generated.
    IntType max() const
    {
        return std::numeric_limits<IntType>::max();
    }

    /// Returns the distribution parameter object
    param_type param() const
    {
        return m_params;
    }

    /// Sets the distribution parameter object
    void param(const param_type& params)
    {
        m_params = params;
    }

    /// \brief Fills \p output with random non-negative integer values
    /// distributed according to Poisson distribution.
    ///
    /// Generates \p size random non-negative integer values distributed according
    /// to Poisson distribution, and stores them into the device memory referenced
    /// by \p output pointer.
    ///
    /// \param g An uniform random number generator object
    /// \param output Pointer to device memory to store results
    /// \param size Number of values to generate
    ///
    /// Requirements:
    /// * The device memory pointed by \p output must have been previously allocated
    /// and be large enough to store at least \p size values of \p IntType type.
    /// * If generator \p g is a quasi-random number generator (`hiprand_cpp::sobol32_engine`),
    /// then \p size must be a multiple of that generator's dimension.
    ///
    /// See also: hiprandGeneratePoisson()
    template<class Generator>
    void operator()(Generator& g, IntType * output, size_t size)
    {
        hiprandStatus_t status;
        status = hiprandGeneratePoisson(g.m_generator, output, size, this->mean());
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \brief Returns \c true if the distribution is the same as \p other.
    ///
    /// Two distribution are equal, if their parameters are equal.
    bool operator==(const poisson_distribution<IntType>& other)
    {
        return this->m_params == other.m_params;
    }

    /// \brief Returns \c true if the distribution is different from \p other.
    ///
    /// Two distribution are equal, if their parameters are equal.
    bool operator!=(const poisson_distribution<IntType>& other)
    {
        return !(*this == other);
    }

private:
    param_type m_params;
};

/// \brief Pseudorandom number engine based Philox algorithm.
///
/// philox4x32_10_engine implements
/// a Counter-based random number generator called Philox, which was developed by
/// a group at D. E. Shaw Research.
/// It generates random numbers of type \p unsigned \p int on the interval [0; 2^32 - 1].
/// Random numbers are generated in sets of four.
template<unsigned long long DefaultSeed = HIPRAND_PHILOX4x32_DEFAULT_SEED>
class philox4x32_10_engine
{
public:
    /// \typedef result_type
    /// Type of values generated by the random number engine.
    typedef unsigned int result_type;
    // \typedef order_type
    /// Pseudo-random number engine ordering type.
    /// Represents the ordering of the results of a random number engine.
    ///
    /// See also: order()
    typedef hiprandOrdering_t order_type;
    /// \typedef offset_type
    /// Pseudo-random number engine offset type.
    /// Offset represents a number of the random number engine's states
    /// that should be skipped before first value is generated.
    ///
    /// See also: offset()
    typedef unsigned long long offset_type;
    /// \typedef seed_type
    /// Pseudo-random number engine seed type definition.
    ///
    /// See also: seed()
    typedef unsigned long long seed_type;
    /// \brief The default seed equal to \p DefaultSeed.
    static constexpr seed_type default_seed = DefaultSeed;

    /// \brief Constructs the pseudo-random number engine.
    ///
    /// \param seed_value seed value to use in the initialization of the internal state, see also seed()
    /// \param offset_value number of internal states that should be skipped, see also offset()
    ///
    /// See also: hiprandCreateGenerator()
    philox4x32_10_engine(seed_type seed_value = DefaultSeed,
                         offset_type offset_value = 0)
    {
        hiprandStatus_t status;
        status = hiprandCreateGenerator(&m_generator, this->type());
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
        try
        {
            if(offset_value > 0)
            {
                this->offset(offset_value);
            }
            this->seed(seed_value);
        }
        catch(...)
        {
            (void)hiprandDestroyGenerator(m_generator);
            throw;
        }
    }

    /// \brief Constructs the pseudo-random number engine.
    ///
    /// The pseudo-random number engine will be created using \p generator.
    /// The constructed engine take ownership over \p generator, and sets
    /// passed reference to \p NULL. The lifetime of \p generator is now
    /// bound to the lifetime of the engine.
    ///
    /// \param generator hipRAND generator
    philox4x32_10_engine(hiprandGenerator_t& generator)
        : m_generator(generator)
    {
        if(generator == NULL)
        {
            throw hiprand_cpp::error(HIPRAND_STATUS_NOT_INITIALIZED);
        }
        generator = NULL;
    }

    philox4x32_10_engine(const philox4x32_10_engine&) = delete;

    philox4x32_10_engine(philox4x32_10_engine&&) = delete;

    philox4x32_10_engine& operator=(const philox4x32_10_engine&) = delete;

    philox4x32_10_engine& operator=(philox4x32_10_engine&&) = delete;

    /// Destructs the engine.
    ///
    /// See also: hiprandDestroyGenerator()
    ~philox4x32_10_engine() noexcept(false)
    {
        hiprandStatus_t status = hiprandDestroyGenerator(m_generator);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \brief Sets the random number engine's \p hipStream for kernel launches.
    /// \param value new \p hipStream to use
    void stream(hipStream_t value)
    {
        hiprandStatus_t status = hiprandSetStream(m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \brief Sets the offset of a random number engine.
    ///
    /// Offset represents a number of the random number engine's states
    /// that should be skipped before first value is generated.
    ///
    /// - This operation resets the engine's internal state.
    /// - This operation does not change the engine's seed or the number of dimensions.
    ///
    /// \param value New absolute offset
    ///
    /// See also: hiprandSetGeneratorOffset()
    void offset(offset_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOffset(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \brief Sets the order of a random number engine.
    ///
    /// The order refers to the ordering of the sequences generated
    /// by the engine.
    ///
    /// - This operation resets the engine's internal state.
    /// - This operation does not change the engine's seed.
    ///
    /// \param value New ordering
    ///
    /// See also: hiprandSetGeneratorOrdering()
    void order(order_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOrdering(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \brief Sets the seed of the pseudo-random number engine.
    ///
    /// - This operation resets the engine's internal state.
    /// - This operation does not change the engine's offset.
    ///
    /// \param value New seed value
    ///
    /// See also: hiprandSetPseudoRandomGeneratorSeed()
    void seed(seed_type value)
    {
        hiprandStatus_t status = hiprandSetPseudoRandomGeneratorSeed(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \brief Fills \p output with uniformly distributed random integer values.
    ///
    /// Generates \p size random integer values uniformly distributed
    /// on the interval [0, 2^32 - 1], and stores them into the device memory
    /// referenced by \p output pointer.
    ///
    /// \param output Pointer to device memory to store results
    /// \param size Number of values to generate
    ///
    /// The device memory pointed by \p output must have been previously allocated
    /// and be large enough to store at least \p size values of \p IntType type.
    ///
    /// See also: hiprandGenerate()
    template<class Generator>
    void operator()(result_type * output, size_t size)
    {
        hiprandStatus_t status;
        status = hiprandGenerate(m_generator, output, size);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// Returns the smallest possible value that can be generated by the engine.
    result_type min() const
    {
        return 0;
    }

    /// Returns the largest possible value that can be generated by the engine.
    result_type max() const
    {
        return std::numeric_limits<unsigned int>::max();
    }

    /// Returns type of the hipRAND pseudo-random number generator associated with the engine.
    static constexpr hiprandRngType type()
    {
        return HIPRAND_RNG_PSEUDO_PHILOX4_32_10;
    }

private:
    hiprandGenerator_t m_generator;

    /// \cond
    template<class T>
    friend class ::hiprand_cpp::uniform_int_distribution;

    template<class T>
    friend class ::hiprand_cpp::uniform_real_distribution;

    template<class T>
    friend class ::hiprand_cpp::normal_distribution;

    template<class T>
    friend class ::hiprand_cpp::lognormal_distribution;

    template<class T>
    friend class ::hiprand_cpp::poisson_distribution;
    /// \endcond
};

/// \cond
template<unsigned long long DefaultSeed>
constexpr typename philox4x32_10_engine<DefaultSeed>::seed_type philox4x32_10_engine<DefaultSeed>::default_seed;
/// \endcond

/// \brief Pseudorandom number engine based XORWOW algorithm.
///
/// xorwow_engine is a xorshift pseudorandom
/// number engine based on XORWOW algorithm, which was presented by George Marsaglia in
/// "Xorshift RNGs" paper published in Journal of Statistical Software. It produces random numbers
/// of type \p unsigned \p int on the interval [0; 2^32 - 1].
template<unsigned long long DefaultSeed = HIPRAND_XORWOW_DEFAULT_SEED>
class xorwow_engine
{
public:
    /// \copydoc philox4x32_10_engine::result_type
    typedef unsigned int result_type;
    /// \copydoc philox4x32_10_engine::order_type
    typedef hiprandOrdering_t order_type;
    /// \copydoc philox4x32_10_engine::offset_type
    typedef unsigned long long offset_type;
    /// \copydoc philox4x32_10_engine::seed_type
    typedef unsigned long long seed_type;
    /// \copydoc philox4x32_10_engine::default_seed
    static constexpr seed_type default_seed = DefaultSeed;

    /// \copydoc philox4x32_10_engine::philox4x32_10_engine(seed_type, offset_type)
    xorwow_engine(seed_type seed_value = DefaultSeed,
                  offset_type offset_value = 0)
    {
        hiprandStatus_t status;
        status = hiprandCreateGenerator(&m_generator, this->type());
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
        try
        {
            if(offset_value > 0)
            {
                this->offset(offset_value);
            }
            this->seed(seed_value);
        }
        catch(...)
        {
            (void)hiprandDestroyGenerator(m_generator);
            throw;
        }
    }

    /// \copydoc philox4x32_10_engine::philox4x32_10_engine(hiprandGenerator_t&)
    xorwow_engine(hiprandGenerator_t& generator)
        : m_generator(generator)
    {
        if(generator == NULL)
        {
            throw hiprand_cpp::error(HIPRAND_STATUS_NOT_INITIALIZED);
        }
        generator = NULL;
    }

    xorwow_engine(const xorwow_engine&) = delete;

    xorwow_engine(xorwow_engine&&) = delete;

    xorwow_engine& operator=(const xorwow_engine&) = delete;

    xorwow_engine& operator=(xorwow_engine&&) = delete;

    /// \copydoc philox4x32_10_engine::~philox4x32_10_engine()
    ~xorwow_engine() noexcept(false)
    {
        hiprandStatus_t status = hiprandDestroyGenerator(m_generator);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::stream()
    void stream(hipStream_t value)
    {
        hiprandStatus_t status = hiprandSetStream(m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::offset()
    void offset(offset_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOffset(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::order()
    void order(order_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOrdering(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::seed()
    void seed(seed_type value)
    {
        hiprandStatus_t status = hiprandSetPseudoRandomGeneratorSeed(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::operator()()
    template<class Generator>
    void operator()(result_type * output, size_t size)
    {
        hiprandStatus_t status;
        status = hiprandGenerate(m_generator, output, size);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::min()
    result_type min() const
    {
        return 0;
    }

    /// \copydoc philox4x32_10_engine::max()
    result_type max() const
    {
        return std::numeric_limits<unsigned int>::max();
    }

    /// \copydoc philox4x32_10_engine::type()
    static constexpr hiprandRngType type()
    {
        return HIPRAND_RNG_PSEUDO_XORWOW;
    }

private:
    hiprandGenerator_t m_generator;

    /// \cond
    template<class T>
    friend class ::hiprand_cpp::uniform_int_distribution;

    template<class T>
    friend class ::hiprand_cpp::uniform_real_distribution;

    template<class T>
    friend class ::hiprand_cpp::normal_distribution;

    template<class T>
    friend class ::hiprand_cpp::lognormal_distribution;

    template<class T>
    friend class ::hiprand_cpp::poisson_distribution;
    /// \endcond
};

/// \cond
template<unsigned long long DefaultSeed>
constexpr typename xorwow_engine<DefaultSeed>::seed_type xorwow_engine<DefaultSeed>::default_seed;
/// \endcond

/// \brief Pseudorandom number engine based MRG32k3a CMRG.
///
/// mrg32k3a_engine is an implementation of MRG32k3a pseudorandom number generator,
/// which is a Combined Multiple Recursive Generator (CMRG) created by Pierre L'Ecuyer.
/// It produces random 32-bit \p unsigned \p int values on the interval [0; 2^32 - 1].
template<unsigned long long DefaultSeed = HIPRAND_MRG32K3A_DEFAULT_SEED>
class mrg32k3a_engine
{
public:
    /// \copydoc philox4x32_10_engine::result_type
    typedef unsigned int result_type;
    /// \copydoc philox4x32_10_engine::order_type
    typedef hiprandOrdering_t order_type;
    /// \copydoc philox4x32_10_engine::offset_type
    typedef unsigned long long offset_type;
    /// \copydoc philox4x32_10_engine::seed_type
    typedef unsigned long long seed_type;
    /// \copydoc philox4x32_10_engine::default_seed
    static constexpr seed_type default_seed = DefaultSeed;

    /// \copydoc philox4x32_10_engine::philox4x32_10_engine(seed_type, offset_type)
    mrg32k3a_engine(seed_type seed_value = DefaultSeed,
                    offset_type offset_value = 0)
    {
        hiprandStatus_t status;
        status = hiprandCreateGenerator(&m_generator, this->type());
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
        try
        {
            if(offset_value > 0)
            {
                this->offset(offset_value);
            }
            this->seed(seed_value);
        }
        catch(...)
        {
            (void)hiprandDestroyGenerator(m_generator);
            throw;
        }
    }

    /// \copydoc philox4x32_10_engine::philox4x32_10_engine(hiprandGenerator_t&)
    mrg32k3a_engine(hiprandGenerator_t& generator)
        : m_generator(generator)
    {
        if(generator == NULL)
        {
            throw hiprand_cpp::error(HIPRAND_STATUS_NOT_INITIALIZED);
        }
        generator = NULL;
    }

    mrg32k3a_engine(const mrg32k3a_engine&) = delete;

    mrg32k3a_engine(mrg32k3a_engine&&) = delete;

    mrg32k3a_engine& operator=(const mrg32k3a_engine&) = delete;

    mrg32k3a_engine& operator=(mrg32k3a_engine&&) = delete;

    /// \copydoc philox4x32_10_engine::~philox4x32_10_engine()
    ~mrg32k3a_engine() noexcept(false)
    {
        hiprandStatus_t status = hiprandDestroyGenerator(m_generator);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::stream()
    void stream(hipStream_t value)
    {
        hiprandStatus_t status = hiprandSetStream(m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::offset()
    void offset(offset_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOffset(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::order()
    void order(order_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOrdering(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::seed()
    void seed(seed_type value)
    {
        hiprandStatus_t status = hiprandSetPseudoRandomGeneratorSeed(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::operator()()
    template<class Generator>
    void operator()(result_type * output, size_t size)
    {
        hiprandStatus_t status;
        status = hiprandGenerate(m_generator, output, size);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::min()
    result_type min() const
    {
        return 1;
    }

    /// \copydoc philox4x32_10_engine::max()
    result_type max() const
    {
        return std::numeric_limits<unsigned int>::max();
    }

    /// \copydoc philox4x32_10_engine::type()
    static constexpr hiprandRngType type()
    {
        return HIPRAND_RNG_PSEUDO_MRG32K3A;
    }

private:
    hiprandGenerator_t m_generator;

    /// \cond
    template<class T>
    friend class ::hiprand_cpp::uniform_int_distribution;

    template<class T>
    friend class ::hiprand_cpp::uniform_real_distribution;

    template<class T>
    friend class ::hiprand_cpp::normal_distribution;

    template<class T>
    friend class ::hiprand_cpp::lognormal_distribution;

    template<class T>
    friend class ::hiprand_cpp::poisson_distribution;
    /// \endcond
};

/// \cond
template<unsigned long long DefaultSeed>
constexpr typename mrg32k3a_engine<DefaultSeed>::seed_type mrg32k3a_engine<DefaultSeed>::default_seed;
/// \endcond

/// \brief Pseudorandom number engine based on Mersenne Twister
/// for Graphic Processors algorithm.
///
/// mtgp32_engine is a random number engine based on Mersenne Twister
/// for Graphic Processors algorithm, which is a version of well-known Mersenne Twister
/// algorithm. It produces high quality random numbers of type \p unsigned \p int
/// on the interval [0; 2^32 - 1].
template<unsigned long long DefaultSeed = HIPRAND_MTGP32_DEFAULT_SEED>
class mtgp32_engine
{
public:
    /// \copydoc philox4x32_10_engine::result_type
    typedef unsigned int result_type;
    /// \copydoc philox4x32_10_engine::order_type
    typedef hiprandOrdering_t order_type;
    /// \copydoc philox4x32_10_engine::seed_type
    typedef unsigned long long seed_type;
    /// \copydoc philox4x32_10_engine::default_seed
    static constexpr seed_type default_seed = DefaultSeed;

    /// \brief Constructs the pseudo-random number engine.
    ///
    /// MTGP32 engine does not accept offset.
    ///
    /// \param seed_value seed value to use in the initialization of the internal state, see also seed()
    ///
    /// See also: hiprandCreateGenerator()
    mtgp32_engine(seed_type seed_value = DefaultSeed)
    {
        hiprandStatus_t status;
        status = hiprandCreateGenerator(&m_generator, this->type());
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
        try
        {
            this->seed(seed_value);
        }
        catch(...)
        {
            (void)hiprandDestroyGenerator(m_generator);
            throw;
        }
    }

    /// \copydoc philox4x32_10_engine::philox4x32_10_engine(hiprandGenerator_t&)
    mtgp32_engine(hiprandGenerator_t& generator)
        : m_generator(generator)
    {
        if(generator == NULL)
        {
            throw hiprand_cpp::error(HIPRAND_STATUS_NOT_INITIALIZED);
        }
        generator = NULL;
    }

    mtgp32_engine(const mtgp32_engine&) = delete;

    mtgp32_engine(mtgp32_engine&&) = delete;

    mtgp32_engine& operator=(const mtgp32_engine&) = delete;

    mtgp32_engine& operator=(mtgp32_engine&&) = delete;

    /// \copydoc philox4x32_10_engine::~philox4x32_10_engine()
    ~mtgp32_engine() noexcept(false)
    {
        hiprandStatus_t status = hiprandDestroyGenerator(m_generator);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::stream()
    void stream(hipStream_t value)
    {
        hiprandStatus_t status = hiprandSetStream(m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::order()
    void order(order_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOrdering(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::seed()
    void seed(seed_type value)
    {
        hiprandStatus_t status = hiprandSetPseudoRandomGeneratorSeed(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::operator()()
    template<class Generator>
    void operator()(result_type * output, size_t size)
    {
        hiprandStatus_t status;
        status = hiprandGenerate(m_generator, output, size);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::min()
    result_type min() const
    {
        return 0;
    }

    /// \copydoc philox4x32_10_engine::max()
    result_type max() const
    {
        return std::numeric_limits<unsigned int>::max();
    }

    /// \copydoc philox4x32_10_engine::type()
    static constexpr hiprandRngType type()
    {
        return HIPRAND_RNG_PSEUDO_MTGP32;
    }

private:
    hiprandGenerator_t m_generator;

    /// \cond
    template<class T>
    friend class ::hiprand_cpp::uniform_int_distribution;

    template<class T>
    friend class ::hiprand_cpp::uniform_real_distribution;

    template<class T>
    friend class ::hiprand_cpp::normal_distribution;

    template<class T>
    friend class ::hiprand_cpp::lognormal_distribution;

    template<class T>
    friend class ::hiprand_cpp::poisson_distribution;
    /// \endcond
};

/// \cond
template<unsigned long long DefaultSeed>
constexpr typename mtgp32_engine<DefaultSeed>::seed_type mtgp32_engine<DefaultSeed>::default_seed;
/// \endcond

/// \brief Pseudorandom number engine based on Mersenne Twister.
///
/// mt19937_engine is a random number engine based on the well-known
/// Mersenne Twister algorithm. It produces high quality random numbers of
/// type \p unsigned \p int on the interval [0; 2^32 - 1].
template<unsigned long long DefaultSeed = HIPRAND_MT19937_DEFAULT_SEED>
class mt19937_engine
{
public:
    /// \copydoc philox4x32_10_engine::result_type
    typedef unsigned int result_type;
    /// \copydoc philox4x32_10_engine::order_type
    typedef hiprandOrdering_t order_type;
    /// \copydoc philox4x32_10_engine::seed_type
    typedef unsigned long long seed_type;
    /// \copydoc philox4x32_10_engine::default_seed
    static constexpr seed_type default_seed = DefaultSeed;

    /// \brief Constructs the pseudo-random number engine.
    ///
    /// MT19937 engine does not accept offset.
    ///
    /// \param seed_value seed value to use in the initialization of the internal state, see also seed()
    ///
    /// See also: hiprandCreateGenerator()
    mt19937_engine(seed_type seed_value = DefaultSeed)
    {
        hiprandStatus_t status;
        status = hiprandCreateGenerator(&m_generator, this->type());
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
        try
        {
            this->seed(seed_value);
        }
        catch(...)
        {
            (void)hiprandDestroyGenerator(m_generator);
            throw;
        }
    }

    /// \copydoc philox4x32_10_engine::philox4x32_10_engine(hiprandGenerator_t&)
    mt19937_engine(hiprandGenerator_t& generator) : m_generator(generator)
    {
        if(generator == NULL)
        {
            throw hiprand_cpp::error(HIPRAND_STATUS_NOT_INITIALIZED);
        }
        generator = NULL;
    }

    mt19937_engine(const mt19937_engine&) = delete;

    mt19937_engine(mt19937_engine&&) = delete;

    mt19937_engine& operator=(const mt19937_engine&) = delete;

    mt19937_engine& operator=(mt19937_engine&&) = delete;

    /// \copydoc philox4x32_10_engine::~philox4x32_10_engine()
    ~mt19937_engine() noexcept(false)
    {
        hiprandStatus_t status = hiprandDestroyGenerator(m_generator);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::stream()
    void stream(hipStream_t value)
    {
        hiprandStatus_t status = hiprandSetStream(m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::order()
    void order(order_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOrdering(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::seed()
    void seed(seed_type value)
    {
        hiprandStatus_t status = hiprandSetPseudoRandomGeneratorSeed(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::operator()()
    template<class Generator>
    void operator()(result_type* output, size_t size)
    {
        hiprandStatus_t status;
        status = hiprandGenerate(m_generator, output, size);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::min()
    result_type min() const
    {
        return 0;
    }

    /// \copydoc philox4x32_10_engine::max()
    result_type max() const
    {
        return std::numeric_limits<unsigned int>::max();
    }

    /// \copydoc philox4x32_10_engine::type()
    static constexpr hiprandRngType type()
    {
        return HIPRAND_RNG_PSEUDO_MT19937;
    }

private:
    hiprandGenerator_t m_generator;

    /// \cond
    template<class T>
    friend class ::hiprand_cpp::uniform_int_distribution;

    template<class T>
    friend class ::hiprand_cpp::uniform_real_distribution;

    template<class T>
    friend class ::hiprand_cpp::normal_distribution;

    template<class T>
    friend class ::hiprand_cpp::lognormal_distribution;

    template<class T>
    friend class ::hiprand_cpp::poisson_distribution;
    /// \endcond
};

/// \cond
template<unsigned long long DefaultSeed>
constexpr typename mt19937_engine<DefaultSeed>::seed_type mt19937_engine<DefaultSeed>::default_seed;
/// \endcond

/// \brief Sobol's quasi-random sequence generator
///
/// sobol32_engine is quasi-random number engine which produced Sobol sequences.
/// This implementation supports generating sequences in up to 20,000 dimensions.
/// The engine produces random unsigned integers on the interval [0; 2^32 - 1].
template<unsigned int DefaultNumDimensions = 1>
class sobol32_engine
{
public:
    /// \copydoc philox4x32_10_engine::result_type
    typedef unsigned int result_type;
    /// \copydoc philox4x32_10_engine::order_type
    typedef hiprandOrdering_t order_type;
    /// \copydoc philox4x32_10_engine::offset_type
    typedef unsigned long long offset_type;
    /// \typedef dimensions_num_type
    /// Quasi-random number engine type for number of dimensions.
    ///
    /// See also dimensions()
    typedef unsigned int dimensions_num_type;
    /// \brief The default number of dimenstions, equal to \p DefaultNumDimensions.
    static constexpr dimensions_num_type default_num_dimensions = DefaultNumDimensions;

    /// \brief Constructs the pseudo-random number engine.
    ///
    /// \param num_of_dimensions number of dimensions to use in the initialization of the internal state, see also dimensions()
    /// \param offset_value number of internal states that should be skipped, see also offset()
    ///
    /// See also: hiprandCreateGenerator()
    sobol32_engine(dimensions_num_type num_of_dimensions = DefaultNumDimensions,
                   offset_type offset_value = 0)
    {
        hiprandStatus_t status;
        status = hiprandCreateGenerator(&m_generator, this->type());
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
        try
        {
            if(offset_value > 0)
            {
                this->offset(offset_value);
            }
            this->dimensions(num_of_dimensions);
        }
        catch(...)
        {
            (void)hiprandDestroyGenerator(m_generator);
            throw;
        }
    }

    /// \copydoc philox4x32_10_engine::philox4x32_10_engine(hiprandGenerator_t&)
    sobol32_engine(hiprandGenerator_t& generator)
        : m_generator(generator)
    {
        if(generator == NULL)
        {
            throw hiprand_cpp::error(HIPRAND_STATUS_NOT_INITIALIZED);
        }
        generator = NULL;
    }

    sobol32_engine(const sobol32_engine&) = delete;

    sobol32_engine(sobol32_engine&&) = delete;

    sobol32_engine& operator=(const sobol32_engine&) = delete;

    sobol32_engine& operator=(sobol32_engine&&) = delete;

    /// \copydoc philox4x32_10_engine::~philox4x32_10_engine()
    ~sobol32_engine() noexcept(false)
    {
        hiprandStatus_t status = hiprandDestroyGenerator(m_generator);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::stream()
    void stream(hipStream_t value)
    {
        hiprandStatus_t status = hiprandSetStream(m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::offset()
    void offset(offset_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOffset(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::order()
    void order(order_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOrdering(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \brief Set the number of dimensions of a quasi-random number generator.
    ///
    /// Supported values of \p dimensions are 1 to 20000.
    ///
    /// - This operation resets the generator's internal state.
    /// - This operation does not change the generator's offset.
    ///
    /// \param value Number of dimensions
    ///
    /// See also: hiprandSetQuasiRandomGeneratorDimensions()
    void dimensions(dimensions_num_type value)
    {
        hiprandStatus_t status =
            hiprandSetQuasiRandomGeneratorDimensions(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \brief Fills \p output with uniformly distributed random integer values.
    ///
    /// Generates \p size random integer values uniformly distributed
    /// on the interval [0, 2^32 - 1], and stores them into the device memory
    /// referenced by \p output pointer.
    ///
    /// \param output Pointer to device memory to store results
    /// \param size Number of values to generate
    ///
    /// Requirements:
    /// * The device memory pointed by \p output must have been previously allocated
    /// and be large enough to store at least \p size values of \p IntType type.
    /// * \p size must be a multiple of the engine's number of dimensions.
    ////
    /// See also: hiprandGenerate()
    template<class Generator>
    void operator()(result_type * output, size_t size)
    {
        hiprandStatus_t status;
        status = hiprandGenerate(m_generator, output, size);
        if(status != HIPRAND_STATUS_SUCCESS) throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::min()
    result_type min() const
    {
        return 0;
    }

    /// \copydoc philox4x32_10_engine::max()
    result_type max() const
    {
        return std::numeric_limits<unsigned int>::max();
    }

    /// \copydoc philox4x32_10_engine::type()
    static constexpr hiprandRngType type()
    {
        return HIPRAND_RNG_QUASI_SOBOL32;
    }

private:
    hiprandGenerator_t m_generator;

    /// \cond
    template<class T>
    friend class ::hiprand_cpp::uniform_int_distribution;

    template<class T>
    friend class ::hiprand_cpp::uniform_real_distribution;

    template<class T>
    friend class ::hiprand_cpp::normal_distribution;

    template<class T>
    friend class ::hiprand_cpp::lognormal_distribution;

    template<class T>
    friend class ::hiprand_cpp::poisson_distribution;
    /// \endcond
};

/// \cond
template<unsigned int DefaultNumDimensions>
constexpr typename sobol32_engine<DefaultNumDimensions>::dimensions_num_type
sobol32_engine<DefaultNumDimensions>::default_num_dimensions;
/// \endcond

/// \brief Sobol's quasi-random sequence generator
///
/// scrambled_sobol32_engine is a quasi-random number engine which produces scrambled Sobol sequences.
/// This implementation supports generating sequences in up to 20,000 dimensions.
/// The engine produces random unsigned integers on the interval [0; 2^32 - 1].
template<unsigned int DefaultNumDimensions = 1>
class scrambled_sobol32_engine
{
public:
    /// \copydoc philox4x32_10_engine::result_type
    typedef unsigned int result_type;
    /// \copydoc philox4x32_10_engine::order_type
    typedef hiprandOrdering_t order_type;
    /// \copydoc philox4x32_10_engine::offset_type
    typedef unsigned long long offset_type;
    /// \copydoc sobol32_engine::dimensions_num_type
    typedef unsigned int dimensions_num_type;
    /// \copydoc sobol32_engine::default_num_dimensions
    static constexpr dimensions_num_type default_num_dimensions = DefaultNumDimensions;

    /// \copydoc sobol32_engine::sobol32_engine(dimensions_num_type, offset_type)
    scrambled_sobol32_engine(dimensions_num_type num_of_dimensions = DefaultNumDimensions,
                             offset_type         offset_value      = 0)
    {
        hiprandStatus_t status;
        status = hiprandCreateGenerator(&m_generator, this->type());
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
        try
        {
            if(offset_value > 0)
            {
                this->offset(offset_value);
            }
            this->dimensions(num_of_dimensions);
        }
        catch(...)
        {
            (void)hiprandDestroyGenerator(m_generator);
            throw;
        }
    }

    /// \copydoc philox4x32_10_engine::philox4x32_10_engine(hiprandGenerator_t&)
    scrambled_sobol32_engine(hiprandGenerator_t& generator) : m_generator(generator)
    {
        if(generator == NULL)
        {
            throw hiprand_cpp::error(HIPRAND_STATUS_NOT_INITIALIZED);
        }
        generator = NULL;
    }

    scrambled_sobol32_engine(const scrambled_sobol32_engine&) = delete;

    scrambled_sobol32_engine(scrambled_sobol32_engine&&) = delete;

    scrambled_sobol32_engine& operator=(const scrambled_sobol32_engine&) = delete;

    scrambled_sobol32_engine& operator=(scrambled_sobol32_engine&&) = delete;

    /// \copydoc philox4x32_10_engine::~philox4x32_10_engine()
    ~scrambled_sobol32_engine() noexcept(false)
    {
        hiprandStatus_t status = hiprandDestroyGenerator(m_generator);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::stream()
    void stream(hipStream_t value)
    {
        hiprandStatus_t status = hiprandSetStream(m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::offset()
    void offset(offset_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOffset(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::order()
    void order(order_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOrdering(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc sobol32_engine::dimensions()
    void dimensions(dimensions_num_type value)
    {
        hiprandStatus_t status = hiprandSetQuasiRandomGeneratorDimensions(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc sobol32::operator()(result_type*, size_t)
    template<class Generator>
    void operator()(result_type* output, size_t size)
    {
        hiprandStatus_t status;
        status = hiprandGenerate(m_generator, output, size);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::min()
    result_type min() const
    {
        return 0;
    }

    /// \copydoc philox4x32_10_engine::max()
    result_type max() const
    {
        return std::numeric_limits<unsigned int>::max();
    }

    /// \copydoc philox4x32_10_engine::type()
    static constexpr hiprandRngType type()
    {
        return HIPRAND_RNG_QUASI_SCRAMBLED_SOBOL32;
    }

private:
    hiprandGenerator_t m_generator;

    /// \cond
    template<class T>
    friend class ::hiprand_cpp::uniform_int_distribution;

    template<class T>
    friend class ::hiprand_cpp::uniform_real_distribution;

    template<class T>
    friend class ::hiprand_cpp::normal_distribution;

    template<class T>
    friend class ::hiprand_cpp::lognormal_distribution;

    template<class T>
    friend class ::hiprand_cpp::poisson_distribution;
    /// \endcond
};

/// \cond
template<unsigned int DefaultNumDimensions>
constexpr typename scrambled_sobol32_engine<DefaultNumDimensions>::dimensions_num_type
    scrambled_sobol32_engine<DefaultNumDimensions>::default_num_dimensions;
/// \endcond

/// \brief Sobol's quasi-random sequence generator
///
/// sobol64_engine is a quasi-random number engine which produced Sobol sequences.
/// This implementation supports generating sequences in up to 20,000 dimensions.
/// The engine produces random unsigned integers on the interval [0; 2^64 - 1].
template<unsigned int DefaultNumDimensions = 1>
class sobol64_engine
{
public:
    /// \copydoc philox4x32_10_engine::result_type
    typedef unsigned long long int result_type;
    /// \copydoc philox4x32_10_engine::order_type
    typedef hiprandOrdering_t order_type;
    /// \copydoc philox4x32_10_engine::offset_type
    typedef unsigned long long offset_type;
    /// \copydoc sobol32_engine::dimensions_num_type
    typedef unsigned int dimensions_num_type;
    /// \copydoc sobol32_engine::default_num_dimensions
    static constexpr dimensions_num_type default_num_dimensions = DefaultNumDimensions;

    /// \copydoc sobol32_engine::sobol32_engine(dimensions_num_type, offset_type)
    sobol64_engine(dimensions_num_type num_of_dimensions = DefaultNumDimensions,
                   offset_type         offset_value      = 0)
    {
        hiprandStatus_t status;
        status = hiprandCreateGenerator(&m_generator, this->type());
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
        try
        {
            if(offset_value > 0)
            {
                this->offset(offset_value);
            }
            this->dimensions(num_of_dimensions);
        }
        catch(...)
        {
            (void)hiprandDestroyGenerator(m_generator);
            throw;
        }
    }

    /// \copydoc philox4x32_10_engine::philox4x32_10_engine(hiprandGenerator_t&)
    sobol64_engine(hiprandGenerator_t& generator) : m_generator(generator)
    {
        if(generator == NULL)
        {
            throw hiprand_cpp::error(HIPRAND_STATUS_NOT_INITIALIZED);
        }
        generator = NULL;
    }

    sobol64_engine(const sobol64_engine&) = delete;

    sobol64_engine(sobol64_engine&&) = delete;

    sobol64_engine& operator=(const sobol64_engine&) = delete;

    sobol64_engine& operator=(sobol64_engine&&) = delete;

    /// \copydoc philox4x32_10_engine::~philox4x32_10_engine()
    ~sobol64_engine() noexcept(false)
    {
        hiprandStatus_t status = hiprandDestroyGenerator(m_generator);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::stream()
    void stream(hipStream_t value)
    {
        hiprandStatus_t status = hiprandSetStream(m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::offset()
    void offset(offset_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOffset(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::order()
    void order(order_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOrdering(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc sobol32_engine::dimensions()
    void dimensions(dimensions_num_type value)
    {
        hiprandStatus_t status = hiprandSetQuasiRandomGeneratorDimensions(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \brief Fills \p output with uniformly distributed random integer values.
    ///
    /// Generates \p size random integer values uniformly distributed
    /// on the interval [0, 2^64 - 1], and stores them into the device memory
    /// referenced by \p output pointer.
    ///
    /// \param output Pointer to device memory to store results
    /// \param size Number of values to generate
    ///
    /// Requirements:
    /// * The device memory pointed by \p output must have been previously allocated
    /// and be large enough to store at least \p size values of \p IntType type.
    /// * \p size must be a multiple of the engine's number of dimensions.
    ////
    /// See also: hiprandGenerate()
    template<class Generator>
    void operator()(result_type* output, size_t size)
    {
        hiprandStatus_t status;
        status = hiprandGenerateLongLong(m_generator, output, size);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::min()
    result_type min() const
    {
        return 0;
    }

    /// \copydoc philox4x32_10_engine::max()
    result_type max() const
    {
        return std::numeric_limits<unsigned int>::max();
    }

    /// \copydoc philox4x32_10_engine::type()
    static constexpr hiprandRngType type()
    {
        return HIPRAND_RNG_QUASI_SOBOL64;
    }

private:
    hiprandGenerator_t m_generator;

    /// \cond
    template<class T>
    friend class ::hiprand_cpp::uniform_int_distribution;

    template<class T>
    friend class ::hiprand_cpp::uniform_real_distribution;

    template<class T>
    friend class ::hiprand_cpp::normal_distribution;

    template<class T>
    friend class ::hiprand_cpp::lognormal_distribution;

    template<class T>
    friend class ::hiprand_cpp::poisson_distribution;
    /// \endcond
};

/// \cond
template<unsigned int DefaultNumDimensions>
constexpr typename sobol64_engine<DefaultNumDimensions>::dimensions_num_type
    sobol64_engine<DefaultNumDimensions>::default_num_dimensions;
/// \endcond

/// \brief Sobol's quasi-random sequence generator
///
/// scrambled_sobol64_engine is a quasi-random number engine which produces scrambled Sobol sequences.
/// This implementation supports generating sequences in up to 20,000 dimensions.
/// The engine produces random unsigned integers on the interval [0; 2^64 - 1].
template<unsigned int DefaultNumDimensions = 1>
class scrambled_sobol64_engine
{
public:
    /// \copydoc philox4x32_10_engine::result_type
    typedef unsigned long long int result_type;
    /// \copydoc philox4x32_10_engine::order_type
    typedef hiprandOrdering_t order_type;
    /// \copydoc philox4x32_10_engine::offset_type
    typedef unsigned long long offset_type;
    /// \copydoc sobol32_engine::dimensions_num_type
    typedef unsigned int dimensions_num_type;
    /// \copydoc sobol32_engine::default_num_dimensions
    static constexpr dimensions_num_type default_num_dimensions = DefaultNumDimensions;

    /// \copydoc sobol32_engine::sobol32_engine(dimensions_num_type, offset_type)
    scrambled_sobol64_engine(dimensions_num_type num_of_dimensions = DefaultNumDimensions,
                             offset_type         offset_value      = 0)
    {
        hiprandStatus_t status;
        status = hiprandCreateGenerator(&m_generator, this->type());
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
        try
        {
            if(offset_value > 0)
            {
                this->offset(offset_value);
            }
            this->dimensions(num_of_dimensions);
        }
        catch(...)
        {
            (void)hiprandDestroyGenerator(m_generator);
            throw;
        }
    }

    /// \copydoc philox4x32_10_engine::philox4x32_10_engine(hiprandGenerator_t&)
    scrambled_sobol64_engine(hiprandGenerator_t& generator) : m_generator(generator)
    {
        if(generator == NULL)
        {
            throw hiprand_cpp::error(HIPRAND_STATUS_NOT_INITIALIZED);
        }
        generator = NULL;
    }

    scrambled_sobol64_engine(const scrambled_sobol64_engine&) = delete;

    scrambled_sobol64_engine(scrambled_sobol64_engine&&) = delete;

    scrambled_sobol64_engine& operator=(const scrambled_sobol64_engine&) = delete;

    scrambled_sobol64_engine& operator=(scrambled_sobol64_engine&&) = delete;

    /// \copydoc philox4x32_10_engine::~philox4x32_10_engine()
    ~scrambled_sobol64_engine() noexcept(false)
    {
        hiprandStatus_t status = hiprandDestroyGenerator(m_generator);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::stream()
    void stream(hipStream_t value)
    {
        hiprandStatus_t status = hiprandSetStream(m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::offset()
    void offset(offset_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOffset(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::order()
    void order(order_type value)
    {
        hiprandStatus_t status = hiprandSetGeneratorOrdering(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc sobol32_engine::dimensions()
    void dimensions(dimensions_num_type value)
    {
        hiprandStatus_t status = hiprandSetQuasiRandomGeneratorDimensions(this->m_generator, value);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc sobol64::operator()(result_type*, size_t)
    template<class Generator>
    void operator()(result_type* output, size_t size)
    {
        hiprandStatus_t status;
        status = hiprandGenerateLongLong(m_generator, output, size);
        if(status != HIPRAND_STATUS_SUCCESS)
            throw hiprand_cpp::error(status);
    }

    /// \copydoc philox4x32_10_engine::min()
    result_type min() const
    {
        return 0;
    }

    /// \copydoc philox4x32_10_engine::max()
    result_type max() const
    {
        return std::numeric_limits<unsigned int>::max();
    }

    /// \copydoc philox4x32_10_engine::type()
    static constexpr hiprandRngType type()
    {
        return HIPRAND_RNG_QUASI_SCRAMBLED_SOBOL64;
    }

private:
    hiprandGenerator_t m_generator;

    /// \cond
    template<class T>
    friend class ::hiprand_cpp::uniform_int_distribution;

    template<class T>
    friend class ::hiprand_cpp::uniform_real_distribution;

    template<class T>
    friend class ::hiprand_cpp::normal_distribution;

    template<class T>
    friend class ::hiprand_cpp::lognormal_distribution;

    template<class T>
    friend class ::hiprand_cpp::poisson_distribution;
    /// \endcond
};

/// \cond
template<unsigned int DefaultNumDimensions>
constexpr typename scrambled_sobol64_engine<DefaultNumDimensions>::dimensions_num_type
    scrambled_sobol64_engine<DefaultNumDimensions>::default_num_dimensions;
/// \endcond

/// \typedef philox4x32_10;
/// \brief Typedef of hiprand_cpp::philox4x32_10_engine PRNG engine with default seed (#HIPRAND_PHILOX4x32_DEFAULT_SEED).
typedef philox4x32_10_engine<> philox4x32_10;
/// \typedef xorwow
/// \brief Typedef of hiprand_cpp::xorwow_engine PRNG engine with default seed (#HIPRAND_XORWOW_DEFAULT_SEED).
typedef xorwow_engine<> xorwow;
/// \typedef mrg32k3a
/// \brief Typedef of hiprand_cpp::mrg32k3a_engine PRNG engine with default seed (#HIPRAND_MRG32K3A_DEFAULT_SEED).
typedef mrg32k3a_engine<> mrg32k3a;
/// \typedef mtgp32
/// \brief Typedef of hiprand_cpp::mtgp32_engine PRNG engine with default seed (#HIPRAND_MTGP32_DEFAULT_SEED).
typedef mtgp32_engine<> mtgp32;
/// \typedef mt19937
/// \brief Typedef of hiprand_cpp::mt19937_engine PRNG engine with default seed (#HIPRAND_MT19937_DEFAULT_SEED).
typedef mt19937_engine<> mt19937;
/// \typedef sobol32
/// \brief Typedef of hiprand_cpp::sobol32_engine QRNG engine with default number of dimensions (1).
typedef sobol32_engine<> sobol32;
/// \typedef scrambled_sobol32
/// \brief Typedef of hiprand_cpp::scrambled_sobol32_engine QRNG engine with default number of dimensions (1).
typedef scrambled_sobol32_engine<> scrambled_sobol32;
/// \typedef sobol64
/// \brief Typedef of hiprand_cpp::sobol64_engine QRNG engine with default number of dimensions (1).
typedef sobol64_engine<> sobol64;
/// \typedef scrambled_sobol64
/// \brief Typedef of hiprand_cpp::scrambled_sobol64_engine QRNG engine with default number of dimensions (1).
typedef scrambled_sobol64_engine<> scrambled_sobol64;

/// \typedef default_random_engine
/// \brief Default random engine.
typedef xorwow default_random_engine;

/// \typedef random_device
///
/// \brief A non-deterministic uniform random number generator.
///
/// hiprand_cpp::random_device is non-deterministic uniform random number generator,
/// or a pseudo-random number engine if there is no support for non-deterministic
/// random number generation. It's implemented as a typedef of std::random_device.
///
/// For practical use hiprand_cpp::random_device is generally only used to seed a PRNG
/// such as \ref hiprand_cpp::mtgp32_engine.
///
/// Example:
/// \code
/// #include <hiprand/hiprand.hpp>
///
/// int main()
/// {
///     const size_t size = 8192;
///     unsigned int * output;
///     hipMalloc(&output, size * sizeof(unsigned int));
///
///     hiprand_cpp::random_device rd;
///     hiprand_cpp::mtgp32 engine(rd()); // seed engine with a real random value, if available
///     hiprand_cpp::normal_distribution<float> dist(0.0, 1.5);
///     dist(engine, output, size);
/// }
/// \endcode
typedef std::random_device random_device;

/// \brief Returns hipRAND version.
/// \return hipRAND version number as an \p int value.
inline int version()
{
    int x;
    hiprandStatus_t status = hiprandGetVersion(&x);
    if(status != HIPRAND_STATUS_SUCCESS)
    {
        throw hiprand_cpp::error(status);
    }
    return x;
}

/// @} // end of group hiprandhostcpp

} // end namespace hiprand_cpp

#endif // #if __cplusplus >= 201103L
#endif // HIPRAND_HPP_