{"id":"CVE-2022-23593","aliases":["BIT-tensorflow-2022-23593","EUVD-2022-0286","GHSA-gwcx-jrx4-92w2","PYSEC-2022-102","PYSEC-2022-157","PYSEC-2026-3193"],"status":"published","title":"Segfault in `simplifyBroadcast` in Tensorflow","description":"Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.","severity":{"version":"3.1","score":5.9,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"medium","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-09","score":0.0087,"percentile":0.5908,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-754"],"published":"2022-02-04T22:32:08Z","modified":"2026-10-28T10:25:23Z","fixes":[{"ecosystem":"PyPI","package":"tensorflow","fixed_in":["2.8.0"],"sources":["ghsa","osv"]},{"ecosystem":"PyPI","package":"tensorflow-cpu","fixed_in":["2.8.0"],"sources":["ghsa","osv"]},{"ecosystem":"PyPI","package":"tensorflow-gpu","fixed_in":["2.8.0"],"sources":["ghsa","osv"]},{"ecosystem":"Bitnami","package":"tensorflow","fixed_in":["2.8.0"],"sources":["osv"]}],"affected":[{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.8.0-rc0"},{"last_affected":"2.8.0-rc0"},{"fixed":"2.8.0"}]}],"versions":["2.8.0-rc0"]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.8.0-rc0"},{"last_affected":"2.8.0-rc0"},{"fixed":"2.8.0"}]}],"versions":["2.8.0-rc0"]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.8.0-rc0"},{"last_affected":"2.8.0-rc0"},{"fixed":"2.8.0"}]}],"versions":["2.8.0-rc0"]},{"source":"osv","ecosystem":"Bitnami","package":"tensorflow","ranges":[{"type":"SEMVER","events":[{"introduced":"2.7.0"},{"fixed":"2.8.0"}]}]},{"source":"osv","ecosystem":"PyPI","package":"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"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.8.0-rc0"},{"fixed":"2.8.0"}]}],"versions":["2.8.0-rc0"]},{"source":"osv","ecosystem":"PyPI","package":"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"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"GIT","events":[{"introduced":"0"},{"fixed":"35f0fabb4c178253a964d7aabdbb15c6a398b69a"}]},{"type":"ECOSYSTEM","events":[{"introduced":"2.7.0"},{"fixed":"2.8.0"}]}],"versions":["2.7.0","2.7.1","2.8.0rc0","2.8.0rc1","2.7.2","2.7.3","2.7.4"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"GIT","events":[{"introduced":"0"},{"fixed":"35f0fabb4c178253a964d7aabdbb15c6a398b69a"}]},{"type":"ECOSYSTEM","events":[{"introduced":"2.7.0"},{"fixed":"2.8.0"}]}],"versions":["2.7.0","2.7.1","2.8.0rc0","2.8.0rc1","2.7.2","2.7.3","2.7.4"]},{"source":"osv","ecosystem":"PyPI","package":"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"]}],"products":[{"vendor":"google","product":"tensorflow"},{"vendor":"tensorflow","product":"tensorflow"}],"references":[{"url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gwcx-jrx4-92w2","tags":["x_refsource_CONFIRM","x_transferred","Patch","Third Party Advisory","advisory","web"]},{"url":"https://github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a","tags":["x_refsource_MISC","x_transferred","Patch","Third Party Advisory","advisory","fix","web"]},{"url":"https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/compiler/mlir/tfrt/jit/transforms/tf_cpurt_symbolic_shape_optimization.cc#L149-L205","tags":["x_refsource_MISC","x_transferred","Exploit","Third Party Advisory","advisory","web"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2022-23593","tags":["web","advisory"]},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-102.yaml","tags":["web"]},{"url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-157.yaml","tags":["web"]},{"url":"https://github.com/advisories/GHSA-gwcx-jrx4-92w2","tags":["advisory"]},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2022/23xxx/CVE-2022-23593.json","tags":["advisory"]},{"url":"https://github.com/tensorflow/tensorflow","tags":["web"]},{"url":"https://pypi.org/project/tensorflow","tags":["package"]}],"sources":{"cve":[{"id":"CVE-2022-23593","title":"Segfault in `simplifyBroadcast` in Tensorflow","description":"Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.","status":"published","published":"2022-02-04T22:32:08Z","modified":"2025-04-22T18:27:13.457Z","cvss":[{"version":"3.1","score":5.9,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"medium","assessor":"cna"}],"cwes":["CWE-754"],"updated_at":"2026-11-02T14:34:29.478363Z"}],"euvd":[{"id":"EUVD-2022-0286","description":"Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.","status":"published","published":"2022-02-04T22:32:08Z","modified":"2025-04-22T18:27:13Z","cvss":[{"version":"3.1","score":5.9,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"medium"}],"updated_at":"2026-11-02T20:52:15.026784Z"}],"ghsa":[{"id":"GHSA-gwcx-jrx4-92w2","title":"Segfault in `simplifyBroadcast` in Tensorflow","description":"### 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-\u003esize());\n  }   \n\n  SmallVector\u003cconst ShapeComponentAnalysis::SymbolicDimension*\u003e\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.","status":"published","published":"2022-02-09T23:32:08Z","modified":"2024-11-13T22:16:36Z","cvss":[{"version":"4.0","score":8.2,"vector":"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","level":"high"},{"version":"3.1","score":5.9,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"medium"}],"cwes":["CWE-754"],"updated_at":"2026-11-02T14:38:18.163845Z"}],"nvd":[{"id":"CVE-2022-23593","description":"Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.","status":"published","published":"2022-02-04T23:15:15.357Z","modified":"2026-06-17T04:30:26.197Z","cvss":[{"version":"3.1","score":5.9,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"medium","assessor":"secondary"},{"version":"3.1","score":7.5,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"high","assessor":"primary"},{"version":"2.0","score":5,"vector":"AV:N/AC:L/Au:N/C:N/I:N/A:P","level":"medium","assessor":"primary"}],"cwes":["CWE-754"],"updated_at":"2026-11-02T14:07:11.52734Z"}],"osv":[{"id":"CVE-2022-23593","title":"Segfault in `simplifyBroadcast` in Tensorflow","description":"Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.","status":"published","published":"2022-02-04T22:32:08Z","modified":"2026-10-28T10:25:23.853378242Z","cvss":[{"version":"3.1","score":5.9,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"medium"}],"cwes":["CWE-754"],"updated_at":"2026-11-02T15:44:24.061177Z"},{"id":"GHSA-gwcx-jrx4-92w2","title":"Segfault in `simplifyBroadcast` in Tensorflow","description":"### 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-\u003esize());\n  }   \n\n  SmallVector\u003cconst ShapeComponentAnalysis::SymbolicDimension*\u003e\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.","status":"published","published":"2022-02-09T23:32:08Z","modified":"2026-07-13T16:43:08.094895293Z","cvss":[{"version":"3.1","score":5.9,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"medium"},{"version":"4.0","score":8.2,"vector":"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","level":"high"}],"cwes":["CWE-754"],"updated_at":"2026-11-02T15:46:48.191583Z"},{"id":"PYSEC-2026-3193","title":"Segfault in `simplifyBroadcast` in Tensorflow","description":"### 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-\u003esize());\n  }   \n\n  SmallVector\u003cconst ShapeComponentAnalysis::SymbolicDimension*\u003e\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.","status":"published","published":"2026-07-09T16:49:40.718424Z","modified":"2026-07-13T16:43:08.094895293Z","cvss":[{"version":"3.1","score":5.9,"vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H","level":"medium"},{"version":"4.0","score":8.2,"vector":"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","level":"high"}],"updated_at":"2026-11-02T15:52:56.429374Z"},{"id":"BIT-tensorflow-2022-23593","title":"Segfault in `simplifyBroadcast` in Tensorflow","description":"Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.","status":"published","published":"2024-03-06T11:14:45.142Z","modified":"2026-09-08T08:46:41.076253906Z","updated_at":"2026-11-02T15:28:35.51001Z"},{"id":"PYSEC-2022-102","description":"Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.","status":"published","published":"2022-02-04T23:15:00Z","modified":"2026-07-13T16:43:08.094895293Z","updated_at":"2026-11-02T15:52:53.449407Z"},{"id":"PYSEC-2022-157","description":"Tensorflow is an Open Source Machine Learning Framework. The `simplifyBroadcast` function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault (hence, denial of service), if called with scalar shapes. If all shapes are scalar, then `maxRank` is 0, so we build an empty `SmallVector`. The fix will be included in TensorFlow 2.8.0. This is the only affected version.","status":"published","published":"2022-02-04T23:15:00Z","modified":"2026-07-13T16:43:08.094895293Z","updated_at":"2026-11-02T15:52:53.449407Z"}]}}