{ "schema_version": "1.4.0", "id": "GHSA-mhhc-q96p-mfm9", "modified": "2024-11-13T21:20:55Z", "published": "2021-08-25T14:39:58Z", "aliases": [ "CVE-2021-37686" ], "summary": "Infinite loop in TFLite", "details": "### Impact\nThe strided slice implementation in TFLite has a logic bug which can allow an attacker to trigger an infinite loop. This arises from newly introduced support for [ellipsis in axis definition](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/strided_slice.cc#L103-L122):\n\n```cc\n for (int i = 0; i < effective_dims;) {\n if ((1 << i) & op_context->params->ellipsis_mask) {\n // ...\n int ellipsis_end_idx =\n std::min(i + 1 + num_add_axis + op_context->input_dims - begin_count,\n effective_dims);\n // ...\n for (; i < ellipsis_end_idx; ++i) {\n // ...\n }\n continue;\n }\n // ...\n ++i;\n }\n```\n\nAn attacker can craft a model such that `ellipsis_end_idx` is smaller than `i` (e.g., always negative). In this case, the inner loop does not increase `i` and the `continue` statement causes execution to skip over the preincrement at the end of the outer loop.\n\n### Patches\nWe have patched the issue in GitHub commit [dfa22b348b70bb89d6d6ec0ff53973bacb4f4695](https://github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695).\n\nThe fix will be included in TensorFlow 2.6.0. This is the only affected version.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been reported by members of the Aivul Team from Qihoo 360.", "severity": [ { "type": "CVSS_V3", "score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H" }, { "type": "CVSS_V4", "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N" } ], "affected": [ { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.6.0rc0" }, { "fixed": "2.6.0rc2" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.6.0rc0" }, { "fixed": "2.6.0rc2" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.6.0rc0" }, { "fixed": "2.6.0rc2" } ] } ] } ], "references": [ { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mhhc-q96p-mfm9" }, { "type": "ADVISORY", "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37686" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-599.yaml" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-797.yaml" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-308.yaml" }, { "type": "PACKAGE", "url": "https://github.com/tensorflow/tensorflow" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.3.4" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.4.3" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.5.1" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.0" } ], "database_specific": { "cwe_ids": [ "CWE-835" ], "severity": "MODERATE", "github_reviewed": true, "github_reviewed_at": "2021-08-24T17:54:33Z", "nvd_published_at": "2021-08-12T22:15:00Z" } }