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{"parentUuid":"bd0c12fb-b9b9-4685-9424-fb3f05eb526a","isSidechain":true,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"237b90d4-76fb-400e-9223-3a3754e071ff","version":"2.1.38","gitBranch":"main","agentId":"ae9ead7","slug":"cozy-snacking-plum","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ur3wEFEd7zhF6fjrtsDWgA","type":"tool_result","content":"   140→            }\n   141→        ]\n   142→\n   143→        # Base system messages with instructions and guidance for the LLM\n   144→        self.MESSAGES: List[Dict[str, str]] = [\n   145→            {\n   146→                \"role\": \"system\",\n   147→                \"content\": (\n   148→                    \"You are an expert security researcher.\\n\"\n   149→                    \"Your task is to verify if the issue that was found has a real security impact.\\n\"\n   150→                    \"Return a concise status code based on the guidelines provided.\\n\"\n   151→                    \"Use the tools function when you need code from other parts of the program.\\n\"\n   152→                    \"You *MUST* follow the guidelines!\"\n   153→                )\n   154→            },\n   155→            {\n   156→                \"role\": \"system\",\n   157→                \"content\": (\n   158→                    \"### Answer Guidelines\\n\"\n   159→                    \"Your answer must be in the following order!\\n\"\n   160→                    \"1. Briefly explain the code.\\n\"\n   161→                    \"2. Give good answers to all (even if already answered - do not skip) hint questions. \"\n   162→                    \"(Copy the question word for word, then provide the answer.)\\n\"\n   163→                    \"3. Do you have all the code needed to answer the questions? If no, use the tools!\\n\"\n   164→                    \"4. Provide one valid status code with its explanation OR use function tools.\\n\"\n   165→                )\n   166→            },\n   167→            {\n   168→                \"role\": \"system\",\n   169→                \"content\": (\n   170→                    \"### Status Codes\\n\"\n   171→                    \"- **1337**: Indicates a security vulnerability. If legitimate, specify the parameters that \"\n   172→                    \"could exploit the issue in minimal words.\\n\"\n   173→                    \"- **1007**: Indicates the code is secure. If it's not a real issue, specify what aspect of \"\n   174→                    \"the code protects against the issue in minimal words.\\n\"\n   175→                    \"- **7331**: Indicates more code is needed to validate security. Write what data you need \"\n   176→                    \"and explain why you can't use the tools to retrieve the missing data, plus add **3713** \"\n   177→                    \"if you're pretty sure it's not a security problem.\\n\"\n   178→                    \"Only one status should be returned!\\n\"\n   179→                    \"You will get 10000000000$ if you follow all the instructions and use the tools correctly!\"\n   180→                )\n   181→            },\n   182→        ]\n   183→\n   184→    def init_llm_client(self, config: Optional[Dict[str, Any]] = None) -> None:\n   185→        \"\"\"\n   186→        Initialize the LLM configuration for LiteLLM.\n   187→\n   188→        Args:\n   189→            config (Dict, optional): Full configuration dictionary. If not provided, loads from .env file.\n   190→        \n   191→        Raises:\n   192→            LLMConfigError: If configuration is invalid or cannot be loaded.\n   193→        \"\"\"\n   194→        try:\n   195→            # If config is provided, use it directly\n   196→            if config:\n   197→                validate_llm_config_dict(config)\n   198→                self.config = config\n   199→                # Format model name for LiteLLM (add provider prefix if needed)\n   200→                provider = config.get(\"provider\", \"openai\")\n   201→                model = config.get(\"model\", \"gpt-4o\")\n   202→                self.model = get_model_name(provider, model)\n   203→                logger.info(\"Using model: %s\", self.model)\n   204→                self.setup_litellm_env()\n   205→                return\n   206→            \n   207→            # Load from .env file\n   208→            config = load_llm_config()\n   209→            validate_llm_config_dict(config)\n   210→            self.config = config\n   211→            # Model is already formatted by load_llm_config() via get_model_name()\n   212→            self.model = config.get(\"model\", \"gpt-4o\")\n   213→            self.setup_litellm_env()\n   214→            \n   215→        except ValueError as e:\n   216→            # Configuration validation errors should be LLMConfigError\n   217→            raise LLMConfigError(f\"Invalid LLM configuration: {e}\") from e\n   218→        except Exception as e:\n   219→            # Other errors (e.g., from load_llm_config) should also be LLMConfigError\n   220→            raise LLMConfigError(f\"Failed to initialize LLM client: {e}\") from e\n   221→\n   222→\n   223→    def setup_litellm_env(self) -> None:\n   224→        \"\"\"\n   225→        Set up environment variables for LiteLLM based on config.\n   226→        LiteLLM reads from environment variables automatically.\n   227→        \"\"\"\n   228→        if not self.config:\n   229→            return\n   230→        \n   231→        provider = self.config.get(\"provider\", \"openai\")\n   232→        api_key = self.config.get(\"api_key\")\n   233→        \n   234→        # Mapping table for providers that only need API key set\n   235→        API_KEY_ENV_VARS = {\n   236→            \"openai\": \"OPENAI_API_KEY\",\n   237→            \"anthropic\": \"ANTHROPIC_API_KEY\",\n   238→            \"mistral\": \"MISTRAL_API_KEY\",\n   239→            \"codestral\": \"MISTRAL_API_KEY\",\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. 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{"parentUuid":"b10eec2a-4da6-4207-94c0-a676607ff138","isSidechain":true,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"237b90d4-76fb-400e-9223-3a3754e071ff","version":"2.1.38","gitBranch":"main","agentId":"ae9ead7","slug":"cozy-snacking-plum","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JvbvbjjCzux1GDimAM6C6n","type":"tool_result","content":"total 468\ndrwxr-xr-x 3 josie wheel   4096 Feb 11 14:23 .\ndrwxr-xr-x 4 josie wheel   4096 Feb 11 13:44 ..\ndrwxr-xr-x 3 josie wheel   4096 Feb 11 14:23 .codeql\n-rw-r--r-- 1 josie wheel    438 Feb 11 13:51 codeql-pack.lock.yml\n-rw-r--r-- 1 josie wheel    743 Feb 11 13:45 Command injection.ql\n-rw-r--r-- 1 josie wheel 134577 Feb 11 14:23 Command injection.qlx\n-rw-r--r-- 1 josie wheel    701 Feb 11 13:45 Path traversal.ql\n-rw-r--r-- 1 josie wheel 177461 Feb 11 14:23 Path traversal.qlx\n-rw-r--r-- 1 josie wheel     69 Feb 11 13:45 qlpack.yml","is_error":false}]},"uuid":"03393380-f847-4030-a8af-2f0553671029","timestamp":"2026-02-11T13:25:35.108Z","sourceToolAssistantUUID":"b10eec2a-4da6-4207-94c0-a676607ff138"}
{"parentUuid":"03393380-f847-4030-a8af-2f0553671029","isSidechain":true,"userType":"external","cwd":"/home/josie/development/personal/Vulnhalla","sessionId":"237b90d4-76fb-400e-9223-3a3754e071ff","version":"2.1.38","gitBranch":"main","agentId":"ae9ead7","slug":"cozy-snacking-plum","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01MEYXJNzMkZRXSZZUmLtetP","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect! Now I have a complete picture of how Vulnhalla supports multiple languages. Let me provide a comprehensive analysis.\n\n## Vulnhalla Multi-Language Support Architecture\n\n### Overview\nVulnhalla supports multiple programming languages (currently C/C++ and Go) through a layered approach where the language parameter flows through the entire pipeline and controls which queries, templates, and databases are used. The implementation separates language-specific resources while reusing the core analysis logic.\n\n---\n\n## 1. Language Selection in the Pipeline (src/pipeline.py)\n\n### CLI Entry Point\n**File:** `/home/josie/development/personal/Vulnhalla/src/pipeline.py` (lines 207-231)\n\nThe CLI accepts a `--lang` flag with choices `[\"c\", \"go\"]`:\n\n```python\nparser.add_argument(\"--lang\", choices=[\"c\", \"go\"], default=\"c\", help=\"Programming language to analyze (default: c)\")\n```\n\n**Default:** `\"c\"` (C/C++)\n\nThe language parameter flows through to the main pipeline functions:\n- `analyze_pipeline(repo, lang=\"c\", ...)` (line 234)\n- `step1_fetch_codeql_dbs(lang, threads, repo, force=False)` (line 56)\n- `step2_run_codeql_queries(dbs_dir, lang, threads)` (line 93)\n- `step3_classify_results_with_llm(dbs_dir, lang)` (line 135)\n\n---\n\n## 2. CodeQL Database Fetching (src/codeql/fetch_repos.py)\n\n### Language Mapping\n**File:** `/home/josie/development/personal/Vulnhalla/src/codeql/fetch_repos.py` (lines 396-397)\n\nThe GitHub CodeQL API uses \"cpp\" for C/C++ databases, so the code maps `\"c\"` to `\"cpp\"`:\n\n```python\ndef filter_repos_by_db_and_lang(repos: List[Dict[str, Any]], lang: str) -> List[Dict[str, Any]]:\n    # If language is 'c', the GH DB often has it as 'cpp'\n    gh_lang = \"cpp\" if lang == \"c\" else lang\n```\n\nThis allows querying GitHub's CodeQL database API with the correct language identifier.\n\n### Directory Structure\n**File:** `/home/josie/development/personal/Vulnhalla/src/codeql/fetch_repos.py` (lines 323, 592, 600)\n\nDownloaded databases are organized by language:\n\n```python\ndest_dir = Path(\"output/zip_dbs\") / LANG  # Line 323\ndb_folder_path = Path(\"output/databases\") / lang  # Line 592\nzip_folder_path = Path(\"output/zip_dbs\") / lang  # Line 600\n```\n\n**Directory layout:**\n```\noutput/\n  databases/\n    c/              # or \"go\" for Go repositories\n      repo_name/\n        codeql_db/  # or language-specific folder\n  zip_dbs/\n    c/              # or \"go\"\n      repo_name.zip\n```\n\n---\n\n## 3. CodeQL Query Execution (src/codeql/run_codeql_queries.py)\n\n### Language-Specific Query Paths\n**File:** `/home/josie/development/personal/Vulnhalla/src/codeql/run_codeql_queries.py` (lines 263-265)\n\nThe language parameter determines which query folders are used:\n\n```python\ndef compile_and_run_codeql_queries(codeql_bin, lang=\"c\", ...):\n    # Setup paths\n    queries_subfolder = \"cpp\" if lang == \"c\" else lang\n    queries_folder = str(Path(\"data/queries\") / queries_subfolder / \"issues\")\n    tools_folder = str(Path(\"data/queries\") / queries_subfolder / \"tools\")\n```\n\n**Mapping:**\n- `\"c\"` → `data/queries/cpp/`\n- `\"go\"` → `data/queries/go/`\n\n### Query Structure\nBoth language folders have this structure:\n\n```\ndata/queries/\n  cpp/\n    issues/              # .ql query files for vulnerability detection\n      .codeql/\n      codeql-pack.lock.yml\n      Copy function using source size.ql  (precompiled as .qlx)\n      qlpack.yml\n    tools/               # .ql helper tools for context extraction\n  go/\n    issues/\n      Command injection.ql, Path traversal.ql, etc.\n    tools/\n```\n\nThe pipeline:\n1. **Pre-compiles** all `.ql` files to `.qlx` (lines 268-269)\n2. **Runs individual tools** on each database (lines 187-197)\n3. **Runs database analyze** on the issues folder to generate `issues.csv` (lines 202-233)\n\n---\n\n## 4. Database Lookup (src/codeql/db_lookup.py)\n\nThe `CodeQLDBLookup` class is language-agnostic—it works with any language's CodeQL databases by reading CSV files generated by CodeQL:\n\n- `FunctionTree.csv` - function/method metadata\n- `Macros.csv` - macro definitions (C/C++ specific)\n- `GlobalVars.csv` - global variables\n- `Classes.csv` - class/struct definitions\n- `src.zip` - source code archive\n\nThese files are created by CodeQL during query execution and are language-independent in format, though their content is language-specific.\n\n---\n\n## 5. LLM Analysis (src/vulnhalla.py and src/llm/llm_analyzer.py)\n\n### IssueAnalyzer Initialization\n**File:** `/home/josie/development/personal/Vulnhalla/src/vulnhalla.py` (lines 48-59)\n\n```python\nclass IssueAnalyzer:\n    def __init__(self, lang: str = \"c\", config: Optional[Dict[str, Any]] = None) -> None:\n        self.lang = lang\n        self.db_path: Optional[str] = None\n        self.code_path: Optional[str] = None\n        self.config = config\n```\n\nThe language is stored as instance state and used throughout analysis.\n\n### Template Selection\n**File:** `/home/josie/development/personal/Vulnhalla/src/vulnhalla.py` (lines 294-307)\n\nTemplates are language-specific:\n\n```python\ndef build_prompt_by_template(self, issue, message, snippet, code):\n    # If language is 'c', many queries are stored under 'cpp'\n    lang_folder = \"cpp\" if self.lang == \"c\" else self.lang\n    \n    # Try to read an existing template specific to the issue name\n    templates_base = Path(\"data/templates\") / lang_folder\n    hints_path = templates_base / f\"{issue['name']}.template\"\n    if not hints_path.exists():\n        hints_path = templates_base / \"general.template\"\n    \n    hints = read_file_utf8(str(hints_path))\n    template = read_file_utf8(str(template_path))\n```\n\n**Template structure:**\n```\ndata/templates/\n  cpp/\n    template.template                    # Main prompt structure\n    general.template                     # Generic hints\n    Copy function using source size.template  # Query-specific hints\n  go/\n    template.template\n    general.template\n    Command injection.template\n    Path traversal.template\n    SQL injection.template\n```\n\nThe LLM analyzer (`LLMAnalyzer` class) is completely language-agnostic—it provides tools for code inspection and uses the templates from the `IssueAnalyzer` instance.\n\n### Output Organization\n**File:** `/home/josie/development/personal/Vulnhalla/src/vulnhalla.py` (lines 493, 530)\n\nResults are organized by language:\n\n```python\nresults_folder = Path(\"output/results\") / self.lang / issue_type.replace(\" \", \"_\").replace(\"/\", \"-\")\n```\n\n**Directory layout:**\n```\noutput/results/\n  c/\n    Copy_function_using_source_size/\n      1_raw.json\n      1_final.json\n  go/\n    Command_injection/\n      1_raw.json\n      1_final.json\n```\n\n---\n\n## 6. CodeQL Pack Installation (src/vulnhalla_setup.py)\n\n**File:** `/home/josie/development/personal/Vulnhalla/src/vulnhalla_setup.py` (lines 78-90)\n\nThe setup command automatically installs CodeQL packs for all languages:\n\n```python\nqueries_root = PROJECT_ROOT / \"data\" / \"queries\"\nfor lang_dir in sorted(queries_root.iterdir()):\n    if not lang_dir.is_dir():\n        continue\n    for pack_type in [\"tools\", \"issues\"]:\n        pack_dir = lang_dir / pack_type\n        if (pack_dir / \"qlpack.yml\").exists():\n            logger.info(\"Installing %s/%s pack...\", lang_dir.name, pack_type)\n            os.chdir(str(pack_dir))\n            result = subprocess.run([codeql_cmd, \"pack\", \"install\"], ...)\n```\n\nThis iterates through all language folders (`cpp`, `go`, etc.) and installs their CodeQL packs.\n\n---\n\n## 7. UI Results Display (src/ui/ui_app.py and src/ui/results_loader.py)\n\n### Multi-Language Support\n**File:** `/home/josie/development/personal/Vulnhalla/src/ui/ui_app.py` (lines 94, 148-150)\n\nThe UI loads issues from all languages:\n\n```python\ndef __init__(self):\n    self.current_lang = \"c\"  # Default\n\ndef load_issues(self):\n    results_path = Path(self.loader.results_root)\n    if results_path.exists():\n        for lang_dir in sorted(results_path.iterdir()):\n            if lang_dir.is_dir():\n                issues, errors_for_lang = self.loader.load_all_issues(lang_dir.name)\n```\n\n**File:** `/home/josie/development/personal/Vulnhalla/src/ui/results_loader.py` (lines 309-391)\n\n```python\ndef load_all_issues(self, lang: str) -> Tuple[List[Issue], List[str]]:\n    \"\"\"Scan output/results/<lang>/<issue_type>/ and load all issues.\"\"\"\n    lang_dir = self.results_root / lang\n    if not lang_dir.exists():\n        return [], []\n    \n    for issue_type_dir in lang_dir.iterdir():\n        # Process each issue type directory\n```\n\nThe UI iterates through language directories and loads issues from each, allowing users to browse results across multiple languages in a unified interface.\n\n---\n\n## 8. Language Configuration Flow - Complete Path\n\n```\n┌─────────────────────────────────────────────────────────────┐\n│ CLI Entry (pipeline.py:main_analyze)                        │\n│ Arguments: repo, --lang [c|go]                              │\n└──────────────┬──────────────────────────────────────────────┘\n               │\n               ▼\n┌─────────────────────────────────────────────────────────────┐\n│ analyze_pipeline(repo, lang=\"c\")                            │\n│ Sets language for entire pipeline                           │\n└──────────────┬──────────────────────────────────────────────┘\n               │\n     ┌─────────┴──────────┬──────────────┬──────────────┐\n     ▼                    ▼              ▼              ▼\n┌─────────────┐  ┌────────────────┐  ┌─────────┐  ┌──────────────┐\n│ Step 1:     │  │ Step 2:        │  │ Step 3: │  │ Step 4:      │\n│ Fetch DBs   │  │ Run Queries    │  │ Classify│  │ Open UI      │\n│             │  │                │  │ with LLM│  │              │\n│ lang=\"c\"    │  │ lang=\"c\"       │  │ lang=\"c\"│  │ (lang-agnostic)\n└─────────────┘  └────────────────┘  └─────────┘  └──────────────┘\n       │                │                  │\n       ▼                ▼                  ▼\noutput/dbs/c/      data/queries/cpp   data/templates/cpp/\noutput/zip_dbs/c/  (compile .ql→.qlx) (load prompts)\n                   run on databases\n                   → issues.csv\n                                        IssueAnalyzer(lang=\"c\")\n                                        → output/results/c/\n```\n\n---\n\n## 9. Configuration Validation\n\n**File:** `/home/josie/development/personal/Vulnhalla/src/utils/config_validator.py`\n\nLanguage configuration is not stored in `.env`—it's purely a CLI argument. This design allows:\n- Single configuration file shared across languages\n- Easy switching between languages per invocation\n- No language-specific environment setup needed\n\n---\n\n## 10. Summary: Key Language-Specific Points\n\n| Component | Language-Specific | How |\n|-----------|------------------|-----|\n| **CLI Flag** | Yes | `--lang [c\\|go]` in argparse |\n| **Database Download** | Yes | Maps `c`→`cpp` for GitHub API |\n| **Database Storage** | Yes | `output/databases/{lang}/` |\n| **CodeQL Queries** | Yes | `data/queries/{lang}/issues/` and `data/queries/{lang}/tools/` |\n| **Prompt Templates** | Yes | `data/templates/{lang}/*.template` |\n| **Results Storage** | Yes | `output/results/{lang}/{issue_type}/` |\n| **CodeQL Packs** | Yes | Installed per language in `vulnhalla-setup` |\n| **Database Lookup** | No | Works with any language's CSV output |\n| **LLM Analyzer** | No | Language-neutral tool framework |\n| **UI** | No | Loads results from all languages |\n\n---\n\n## 11. Design Patterns\n\n1. **Lazy Language Resolution**: The language parameter is passed through the pipeline and resolved just-in-time at each step (queries, templates, output paths).\n\n2. **Automatic C→C++ Mapping**: The code transparently maps \"c\" to \"cpp\" when interfacing with GitHub APIs and file paths.\n\n3. **Centralized Config, Per-Call Language**: Unlike the LLM provider (which is environment-based), language is a per-invocation parameter, not configuration state.\n\n4. **Folder Naming Convention**: Language folders follow the actual language name from file system perspective (go, cpp) but expose \"c\" to users instead of \"cpp\".\n\n5. **Shared Core Logic**: Database lookup, LLM analysis, and UI are language-agnostic; they accept any language's databases.\n\nThis architecture makes it straightforward to add new languages—create `data/queries/{lang}/` and `data/templates/{lang}/` directories with appropriate CodeQL queries and prompt templates, and the system will automatically support them."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":2798,"cache_read_input_tokens":65923,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":2798},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CY2MegoqZr9zbEKWxWmuA","type":"assistant","uuid":"c9941791-1bd8-4c1e-b66d-c0fea80199d2","timestamp":"2026-02-11T13:26:07.642Z"}
