{"id":"CVE-2022-36012","aliases":["BIT-tensorflow-2022-36012","EUVD-2022-6864","GHSA-jvhc-5hhr-w3v5","PYSEC-2026-1015","PYSEC-2026-3210","PYSEC-2026-3347","openSUSE-SU-2024:12355-1"],"status":"published","title":"Assertion fail on MLIR empty edge names in TensorFlow","description":"TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it crashes. We have patched the issue in GitHub commit ad069af92392efee1418c48ff561fd3070a03d7b. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.","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":"2026-11-10","score":0.00716,"percentile":0.54112,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":true},"cwes":["CWE-617"],"published":"2022-09-16T21:19:48Z","modified":"2026-10-28T10:35:55Z","fixes":[{"ecosystem":"PyPI","package":"tensorflow","fixed_in":["2.7.2","2.8.1","2.9.1"],"sources":["ghsa","osv"]},{"ecosystem":"PyPI","package":"tensorflow-cpu","fixed_in":["2.7.2","2.8.1","2.9.1"],"sources":["ghsa","osv"]},{"ecosystem":"PyPI","package":"tensorflow-gpu","fixed_in":["2.7.2","2.8.1","2.9.1"],"sources":["ghsa","osv"]},{"ecosystem":"Bitnami","package":"tensorflow","fixed_in":["2.7.2","2.8.1","2.9.1"],"sources":["osv"]}],"affected":[{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.7.2"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.8.0"},{"fixed":"2.8.1"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.9.0"},{"fixed":"2.9.1"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.7.2"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.8.0"},{"fixed":"2.8.1"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.9.0"},{"fixed":"2.9.1"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.7.2"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.8.0"},{"fixed":"2.8.1"}]}]},{"source":"ghsa","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.9.0"},{"fixed":"2.9.1"}]}]},{"source":"osv","ecosystem":"Bitnami","package":"tensorflow","ranges":[{"type":"SEMVER","events":[{"introduced":"0"},{"fixed":"2.7.2"},{"introduced":"2.8.0"},{"fixed":"2.8.1"},{"introduced":"2.9.0"},{"fixed":"2.9.1"}]}]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.7.2"}]}],"versions":["0.12.0","0.12.1","1.0.0","1.0.1","1.1.0","1.10.0","1.10.1","1.11.0","1.12.0","1.12.2","1.12.3","1.13.1","1.13.2","1.14.0","1.15.0","1.15.2","1.15.3","1.15.4","1.15.5","1.2.0","1.2.1","1.3.0","1.4.0","1.4.1","1.5.0","1.5.1","1.6.0","1.7.0","1.7.1","1.8.0","1.9.0","2.0.0","2.0.1","2.0.2","2.0.3","2.0.4","2.1.0","2.1.1","2.1.2","2.1.3","2.1.4","2.2.0","2.2.1","2.2.2","2.2.3","2.3.0","2.3.1","2.3.2","2.3.3","2.3.4","2.4.0","2.4.1","2.4.2","2.4.3","2.4.4","2.5.0","2.5.1","2.5.2","2.5.3","2.6.0","2.6.0rc0","2.6.0rc1","2.6.0rc2","2.6.1","2.6.2","2.6.3","2.6.4","2.6.5","2.7.0","2.7.0rc0","2.7.0rc1","2.7.1"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.8.0"},{"fixed":"2.8.1"}]}],"versions":["2.8.0"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.9.0"},{"fixed":"2.9.1"}]}],"versions":["2.9.0"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.7.2"}]}],"versions":["1.15.0","2.1.0","2.1.1","2.1.2","2.1.3","2.1.4","2.2.0","2.2.1","2.2.2","2.2.3","2.3.0","2.3.1","2.3.2","2.3.3","2.3.4","2.4.0","2.4.1","2.4.2","2.4.3","2.4.4","2.5.0","2.5.1","2.5.2","2.5.3","2.6.0","2.6.1","2.6.2","2.6.3","2.6.4","2.6.5","2.7.0","2.7.1"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.8.0"},{"fixed":"2.8.1"}]}],"versions":["2.8.0"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-cpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.9.0"},{"fixed":"2.9.1"}]}],"versions":["2.9.0"]},{"source":"osv","ecosystem":"PyPI","package":"tensorflow-gpu","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.7.2"}]}],"versions":["0.12.0","0.12.1","1.0.0","1.0.1","1.1.0","1.10.0","1.10.1","1.11.0","1.12.0","1.12.2","1.12.3","1.13.1","1.13.2","1.14.0","1.15.0","1.15.2","1.15.3","1.15.4","1.15.5","1.2.0","1.2.1","1.3.0","1.4.0","1.4.1","1.5.0","1.5.1","1.6.0","1.7.0","1.7.1","1.8.0","1.9.0","2.0.0","2.0.1","2.0.2","2.0.3","2.0.4","2.1.0","2.1.1","2.1.2","2.1.3","2.1.4","2.2.0","2.2.1","2.2.2","2.2.3","2.3.0","2.3.1","2.3.2","2.3.3","2.3.4","2.4.0","2.4.1","2.4.2","2.4.3","2.4.4","2.5.0","2.5.1","2.5.2","2.5.3","2.6.0","2.6.1","2.6.2","2.6.3","2.6.4","2.6.5","2.7.0","2.7.0rc0","2.7.0rc1","2.7.1"]},{"source":"osv","ecosystem":"PyPI",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Party Advisory","advisory","web"]},{"url":"https://github.com/tensorflow/tensorflow/commit/ad069af92392efee1418c48ff561fd3070a03d7b","tags":["x_refsource_MISC","x_transferred","Patch","Third Party Advisory","advisory","fix","web"]},{"url":"https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ir/importexport/functiondef_import.cc","tags":["x_refsource_MISC","x_transferred","Third Party Advisory","advisory","web"]},{"url":"https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0","tags":["web"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2022-36012","tags":["web","advisory"]},{"url":"https://github.com/advisories/GHSA-jvhc-5hhr-w3v5","tags":["advisory"]},{"url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2022/36xxx/CVE-2022-36012.json","tags":["advisory"]},{"url":"https://github.com/tensorflow/tensorflow","tags":["package"]},{"url":"https://pypi.org/project/tensorflow-gpu","tags":["package"]},{"url":"https://pypi.org/project/tensorflow","tags":["package"]},{"url":"https://pypi.org/project/tensorflow-cpu","tags":["package"]},{"url":"","tags":["advisory"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35934","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35935","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35937","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35938","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35939","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35940","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35941","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35952","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35959","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35960","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35963","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35964","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35965","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35966","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35967","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35968","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35969","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35970","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35971","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35972","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35973","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35974","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35979","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35981","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35982","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35983","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35984","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35985","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35986","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35987","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35988","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35989","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35990","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35991","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35992","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35993","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35994","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35995","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35996","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35997","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35998","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-35999","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36000","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36001","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36002","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36003","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36004","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36005","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36011","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36012","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36013","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36014","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36015","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36016","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36017","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36018","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36019","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36026","tags":["web"]},{"url":"https://www.suse.com/security/cve/CVE-2022-36027","tags":["web"]}],"sources":{"cve":[{"id":"CVE-2022-36012","title":"Assertion fail on MLIR empty edge names in TensorFlow","description":"TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it crashes. We have patched the issue in GitHub commit ad069af92392efee1418c48ff561fd3070a03d7b. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.","status":"published","published":"2022-09-16T22:55:15Z","modified":"2025-04-23T16:58:59.855Z","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-617"],"updated_at":"2026-11-02T14:34:35.945659Z"}],"euvd":[{"id":"EUVD-2022-6864","description":"TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it crashes. We have patched the issue in GitHub commit ad069af92392efee1418c48ff561fd3070a03d7b. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.","status":"published","published":"2022-09-16T22:55:15Z","modified":"2025-04-23T16:58:59Z","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":"2026-11-02T20:52:11.440801Z"}],"ghsa":[{"id":"GHSA-jvhc-5hhr-w3v5","title":"TensorFlow vulnerable to assertion fail on MLIR empty edge names","description":"### Impact\nWhen [`mlir::tfg::ConvertGenericFunctionToFunctionDef`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ir/importexport/functiondef_import.cc) is given empty function attributes, it crashes.\n```cpp\n// We pre-allocate the array of operands and populate it using the\n// `output_name_to_position` and `control_output_to_position` populated\n// previously.\nSmallVector\u003cValue\u003e ret_vals(func.ret_size() + func.control_ret_size(),\n                            Value());\nfor (const auto\u0026 ret_val : func.ret()) {\n  auto position = output_name_to_position.find(ret_val.first);\n  if (position == output_name_to_position.end())\n    return InvalidArgument(\n        \"Can't import function, returned value references unknown output \"\n        \"argument \",\n        ret_val.first);\n  ret_vals[position-\u003esecond] =\n      value_manager.GetValueOrCreatePlaceholder(ret_val.second);\n}\nfor (const auto\u0026 ret_val : func.control_ret()) {\n  auto position = control_output_to_position.find(ret_val.first);\n  if (position == control_output_to_position.end())\n    return InvalidArgument(\n        \"Can't import function, returned value references unknown output \"\n        \"argument \",\n        ret_val.first);\n  Value result = value_manager.GetValueOrCreatePlaceholder(\n      (Twine(\"^\") + ret_val.second).str());\n```\n`ret_val.second` cannot be empty. Neither can `input`.\n```cpp\n// Process every node and create a matching MLIR operation\nfor (const NodeDef\u0026 node : nodes) {\n  if (node.op().empty()) return InvalidArgument(\"empty op type\");\n  OperationState state(unknown_loc, absl::StrCat(\"tfg.\", node.op()));\n  // Fetch the inputs, creating placeholder if an input hasn't been visited.\n  for (const std::string\u0026 input : node.input())\n    state.operands.push_back(\n        value_manager.GetValueOrCreatePlaceholder(input));\n```\n\n\n### Patches\nWe have patched the issue in GitHub commit [ad069af92392efee1418c48ff561fd3070a03d7b](https://github.com/tensorflow/tensorflow/commit/ad069af92392efee1418c48ff561fd3070a03d7b).\n\nThe fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.\n\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","status":"published","published":"2022-09-16T21:19:48Z","modified":"2023-01-30T05:02:54Z","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-617"],"updated_at":"2026-11-02T14:36:27.500048Z"}],"nvd":[{"id":"CVE-2022-36012","description":"TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it crashes. We have patched the issue in GitHub commit ad069af92392efee1418c48ff561fd3070a03d7b. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.","status":"published","published":"2022-09-16T23:15:11.07Z","modified":"2026-06-17T04:52:44.327Z","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"}],"cwes":["CWE-617"],"updated_at":"2026-11-02T14:07:28.118799Z"}],"osv":[{"id":"CVE-2022-36012","title":"Assertion fail on MLIR empty edge names in TensorFlow","description":"TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it crashes. We have patched the issue in GitHub commit ad069af92392efee1418c48ff561fd3070a03d7b. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.","status":"published","published":"2022-09-16T22:55:15Z","modified":"2026-10-28T10:35:55.441487269Z","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-617"],"updated_at":"2026-11-02T15:44:26.195407Z"},{"id":"GHSA-jvhc-5hhr-w3v5","title":"TensorFlow vulnerable to assertion fail on MLIR empty edge names","description":"### Impact\nWhen [`mlir::tfg::ConvertGenericFunctionToFunctionDef`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ir/importexport/functiondef_import.cc) is given empty function attributes, it crashes.\n```cpp\n// We pre-allocate the array of operands and populate it using the\n// `output_name_to_position` and `control_output_to_position` populated\n// previously.\nSmallVector\u003cValue\u003e ret_vals(func.ret_size() + func.control_ret_size(),\n                            Value());\nfor (const auto\u0026 ret_val : func.ret()) {\n  auto position = output_name_to_position.find(ret_val.first);\n  if (position == output_name_to_position.end())\n    return InvalidArgument(\n        \"Can't import function, returned value references unknown output \"\n        \"argument \",\n        ret_val.first);\n  ret_vals[position-\u003esecond] =\n      value_manager.GetValueOrCreatePlaceholder(ret_val.second);\n}\nfor (const auto\u0026 ret_val : func.control_ret()) {\n  auto position = control_output_to_position.find(ret_val.first);\n  if (position == control_output_to_position.end())\n    return InvalidArgument(\n        \"Can't import function, returned value references unknown output \"\n        \"argument \",\n        ret_val.first);\n  Value result = value_manager.GetValueOrCreatePlaceholder(\n      (Twine(\"^\") + ret_val.second).str());\n```\n`ret_val.second` cannot be empty. Neither can `input`.\n```cpp\n// Process every node and create a matching MLIR operation\nfor (const NodeDef\u0026 node : nodes) {\n  if (node.op().empty()) return InvalidArgument(\"empty op type\");\n  OperationState state(unknown_loc, absl::StrCat(\"tfg.\", node.op()));\n  // Fetch the inputs, creating placeholder if an input hasn't been visited.\n  for (const std::string\u0026 input : node.input())\n    state.operands.push_back(\n        value_manager.GetValueOrCreatePlaceholder(input));\n```\n\n\n### Patches\nWe have patched the issue in GitHub commit [ad069af92392efee1418c48ff561fd3070a03d7b](https://github.com/tensorflow/tensorflow/commit/ad069af92392efee1418c48ff561fd3070a03d7b).\n\nThe fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.\n\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","status":"published","published":"2022-09-16T21:19:48Z","modified":"2026-07-13T16:43:52.053898453Z","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-617"],"updated_at":"2026-11-02T15:46:51.10002Z"},{"id":"PYSEC-2026-1015","title":"TensorFlow vulnerable to assertion fail on MLIR empty edge names","description":"### Impact\nWhen [`mlir::tfg::ConvertGenericFunctionToFunctionDef`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ir/importexport/functiondef_import.cc) is given empty function attributes, it crashes.\n```cpp\n// We pre-allocate the array of operands and populate it using the\n// `output_name_to_position` and `control_output_to_position` populated\n// previously.\nSmallVector\u003cValue\u003e ret_vals(func.ret_size() + func.control_ret_size(),\n                            Value());\nfor (const auto\u0026 ret_val : func.ret()) {\n  auto position = output_name_to_position.find(ret_val.first);\n  if (position == output_name_to_position.end())\n    return InvalidArgument(\n        \"Can't import function, returned value references unknown output \"\n        \"argument \",\n        ret_val.first);\n  ret_vals[position-\u003esecond] =\n      value_manager.GetValueOrCreatePlaceholder(ret_val.second);\n}\nfor (const auto\u0026 ret_val : func.control_ret()) {\n  auto position = control_output_to_position.find(ret_val.first);\n  if (position == control_output_to_position.end())\n    return InvalidArgument(\n        \"Can't import function, returned value references unknown output \"\n        \"argument \",\n        ret_val.first);\n  Value result = value_manager.GetValueOrCreatePlaceholder(\n      (Twine(\"^\") + ret_val.second).str());\n```\n`ret_val.second` cannot be empty. Neither can `input`.\n```cpp\n// Process every node and create a matching MLIR operation\nfor (const NodeDef\u0026 node : nodes) {\n  if (node.op().empty()) return InvalidArgument(\"empty op type\");\n  OperationState state(unknown_loc, absl::StrCat(\"tfg.\", node.op()));\n  // Fetch the inputs, creating placeholder if an input hasn't been visited.\n  for (const std::string\u0026 input : node.input())\n    state.operands.push_back(\n        value_manager.GetValueOrCreatePlaceholder(input));\n```\n\n\n### Patches\nWe have patched the issue in GitHub commit [ad069af92392efee1418c48ff561fd3070a03d7b](https://github.com/tensorflow/tensorflow/commit/ad069af92392efee1418c48ff561fd3070a03d7b).\n\nThe fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.\n\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","status":"published","published":"2026-07-07T10:17:19.056828Z","modified":"2026-07-13T16:43:52.053898453Z","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":"2026-11-02T15:52:54.622769Z"},{"id":"PYSEC-2026-3210","title":"TensorFlow vulnerable to assertion fail on MLIR empty edge names","description":"### Impact\nWhen [`mlir::tfg::ConvertGenericFunctionToFunctionDef`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ir/importexport/functiondef_import.cc) is given empty function attributes, it crashes.\n```cpp\n// We pre-allocate the array of operands and populate it using the\n// `output_name_to_position` and `control_output_to_position` populated\n// previously.\nSmallVector\u003cValue\u003e ret_vals(func.ret_size() + func.control_ret_size(),\n                            Value());\nfor (const auto\u0026 ret_val : func.ret()) {\n  auto position = output_name_to_position.find(ret_val.first);\n  if (position == output_name_to_position.end())\n    return InvalidArgument(\n        \"Can't import function, returned value references unknown output \"\n        \"argument \",\n        ret_val.first);\n  ret_vals[position-\u003esecond] =\n      value_manager.GetValueOrCreatePlaceholder(ret_val.second);\n}\nfor (const auto\u0026 ret_val : func.control_ret()) {\n  auto position = control_output_to_position.find(ret_val.first);\n  if (position == control_output_to_position.end())\n    return InvalidArgument(\n        \"Can't import function, returned value references unknown output \"\n        \"argument \",\n        ret_val.first);\n  Value result = value_manager.GetValueOrCreatePlaceholder(\n      (Twine(\"^\") + ret_val.second).str());\n```\n`ret_val.second` cannot be empty. Neither can `input`.\n```cpp\n// Process every node and create a matching MLIR operation\nfor (const NodeDef\u0026 node : nodes) {\n  if (node.op().empty()) return InvalidArgument(\"empty op type\");\n  OperationState state(unknown_loc, absl::StrCat(\"tfg.\", node.op()));\n  // Fetch the inputs, creating placeholder if an input hasn't been visited.\n  for (const std::string\u0026 input : node.input())\n    state.operands.push_back(\n        value_manager.GetValueOrCreatePlaceholder(input));\n```\n\n\n### Patches\nWe have patched the issue in GitHub commit [ad069af92392efee1418c48ff561fd3070a03d7b](https://github.com/tensorflow/tensorflow/commit/ad069af92392efee1418c48ff561fd3070a03d7b).\n\nThe fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.\n\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","status":"published","published":"2026-07-13T14:19:41.269904Z","modified":"2026-07-13T16:43:52.053898453Z","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":"2026-11-02T15:52:56.429374Z"},{"id":"PYSEC-2026-3347","title":"TensorFlow vulnerable to assertion fail on MLIR empty edge names","description":"### Impact\nWhen [`mlir::tfg::ConvertGenericFunctionToFunctionDef`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ir/importexport/functiondef_import.cc) is given empty function attributes, it crashes.\n```cpp\n// We pre-allocate the array of operands and populate it using the\n// `output_name_to_position` and `control_output_to_position` populated\n// previously.\nSmallVector\u003cValue\u003e ret_vals(func.ret_size() + func.control_ret_size(),\n                            Value());\nfor (const auto\u0026 ret_val : func.ret()) {\n  auto position = output_name_to_position.find(ret_val.first);\n  if (position == output_name_to_position.end())\n    return InvalidArgument(\n        \"Can't import function, returned value references unknown output \"\n        \"argument \",\n        ret_val.first);\n  ret_vals[position-\u003esecond] =\n      value_manager.GetValueOrCreatePlaceholder(ret_val.second);\n}\nfor (const auto\u0026 ret_val : func.control_ret()) {\n  auto position = control_output_to_position.find(ret_val.first);\n  if (position == control_output_to_position.end())\n    return InvalidArgument(\n        \"Can't import function, returned value references unknown output \"\n        \"argument \",\n        ret_val.first);\n  Value result = value_manager.GetValueOrCreatePlaceholder(\n      (Twine(\"^\") + ret_val.second).str());\n```\n`ret_val.second` cannot be empty. Neither can `input`.\n```cpp\n// Process every node and create a matching MLIR operation\nfor (const NodeDef\u0026 node : nodes) {\n  if (node.op().empty()) return InvalidArgument(\"empty op type\");\n  OperationState state(unknown_loc, absl::StrCat(\"tfg.\", node.op()));\n  // Fetch the inputs, creating placeholder if an input hasn't been visited.\n  for (const std::string\u0026 input : node.input())\n    state.operands.push_back(\n        value_manager.GetValueOrCreatePlaceholder(input));\n```\n\n\n### Patches\nWe have patched the issue in GitHub commit [ad069af92392efee1418c48ff561fd3070a03d7b](https://github.com/tensorflow/tensorflow/commit/ad069af92392efee1418c48ff561fd3070a03d7b).\n\nThe fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.\n\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","status":"published","published":"2026-07-13T14:19:41.378319Z","modified":"2026-07-13T16:43:52.053898453Z","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":"2026-11-02T15:52:56.847083Z"},{"id":"BIT-tensorflow-2022-36012","title":"Assertion fail on MLIR empty edge names in TensorFlow","description":"TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it crashes. We have patched the issue in GitHub commit ad069af92392efee1418c48ff561fd3070a03d7b. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.","status":"published","published":"2024-03-06T11:12:15.17Z","modified":"2026-09-08T08:48:20.447265939Z","updated_at":"2026-11-02T15:28:35.51001Z"},{"id":"openSUSE-SU-2024:12355-1","title":"tensorflow-lite-2.10.0-1.1 on GA media","description":"These are all security issues fixed in the tensorflow-lite-2.10.0-1.1 package on the GA media of openSUSE Tumbleweed.","status":"published","published":"2024-06-15T00:00:00Z","modified":"2026-02-04T02:37:03.870689Z","updated_at":"2026-11-02T16:58:35.751245Z"}]}}