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3.9 KiB
JSON
1 line
3.9 KiB
JSON
{"schema_version":"1.9.0","id":"GHSA-gwcx-jrx4-92w2","published":"2022-02-09T23:32:08Z","modified":"2026-07-13T16:43:08.094895293Z","aliases":["BIT-tensorflow-2022-23593","CVE-2022-23593","PYSEC-2022-102","PYSEC-2022-157","PYSEC-2026-3193"],"summary":"Segfault in `simplifyBroadcast` in Tensorflow","details":"### Impact\nThe [`simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow](https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/mlir/tfrt/jit/transforms/tf_cpurt_symbolic_shape_optimization.cc#L149-L205) is vulnerable to a segfault (hence, denial of service), if called with scalar shapes.\n\n```cc \n size_t maxRank = 0;\n for (auto shape : llvm::enumerate(shapes)) {\n auto found_shape = analysis.dimensionsForShapeTensor(shape.value());\n if (!found_shape) return {};\n shapes_found.push_back(*found_shape);\n maxRank = std::max(maxRank, found_shape->size());\n } \n\n SmallVector<const ShapeComponentAnalysis::SymbolicDimension*>\n joined_dimensions(maxRank);\n```\n\nIf all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`.\n\n### Patches\nWe have patched the issue in GitHub commit [35f0fabb4c178253a964d7aabdbb15c6a398b69a](https://github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a).\n\nThe fix will be included in TensorFlow 2.8.0. 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.","affected":[{"package":{"name":"tensorflow","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.8.0-rc0"},{"fixed":"2.8.0"}]}],"versions":["2.8.0-rc0","2.8.0rc0","2.8.0rc1"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/02/GHSA-gwcx-jrx4-92w2/GHSA-gwcx-jrx4-92w2.json"}},{"package":{"name":"tensorflow-cpu","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow-cpu"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.8.0-rc0"},{"fixed":"2.8.0"}]}],"versions":["2.8.0-rc0"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/02/GHSA-gwcx-jrx4-92w2/GHSA-gwcx-jrx4-92w2.json"}},{"package":{"name":"tensorflow-gpu","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow-gpu"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.8.0-rc0"},{"fixed":"2.8.0"}]}],"versions":["2.8.0-rc0","2.8.0rc0","2.8.0rc1"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/02/GHSA-gwcx-jrx4-92w2/GHSA-gwcx-jrx4-92w2.json"}}],"references":[{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gwcx-jrx4-92w2"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2022-23593"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a"},{"type":"WEB","url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-102.yaml"},{"type":"WEB","url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-157.yaml"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/mlir/tfrt/jit/transforms/tf_cpurt_symbolic_shape_optimization.cc#L149-L205"}],"database_specific":{"cwe_ids":["CWE-754"],"github_reviewed":true,"github_reviewed_at":"2022-02-04T18:15:07Z","nvd_published_at":"2022-02-04T23:15:00Z","severity":"HIGH"},"severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H"},{"type":"CVSS_V4","score":"CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N"}]} |