Null-dereference in `mlir::tfg::TFOp::nameAttr` in TensorFlow
Vulnerability Description
TensorFlow is an open source platform for machine learning. When `mlir::tfg::TFOp::nameAttr` receives null type list attributes, it crashes. We have patched the issue in GitHub commits 3a754740d5414e362512ee981eefba41561a63a6 and a0f0b9a21c9270930457095092f558fbad4c03e5. 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.
Impact Analysis
Refer to official advisory for detailed impact metrics.
Remediation
Ensure systems are updated to the latest vendor-supplied patch levels.
Am I Vulnerable?
Launch our assessment wizard to check if your infrastructure is exposed to • CVE-2022-36014
Credits & Attribution
No credits recorded in the NVD database.
References
- https://github.com/tensorflow/tensorflow/commit/a0f0b9a21c9270930457095092f558fbad4c03e5
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ir/importexport/graphdef_import.cc
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7j3m-8g3c-9qqq
- https://github.com/tensorflow/tensorflow/commit/3a754740d5414e362512ee981eefba41561a63a6
More from tensorflow
View All →Affected Vendor
tensorflow
View all reports →