AVID-2026-R1107

Description

Null-dereference in mlir::tfg::GraphDefImporter::ConvertNodeDef in TensorFlow (CVE-2022-36013)

Details

TensorFlow is an open source platform for machine learning. When mlir::tfg::GraphDefImporter::ConvertNodeDef tries to convert NodeDefs without an op name, it crashes. We have patched the issue in GitHub commit 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.

Reason for inclusion in AVID: The CVE describes a null-dereference vulnerability in TensorFlow (a core ML framework). It affects software used to build/train/deploy AI systems, can cause a crash (availability impact), and TensorFlow is a common component in AI software stacks. Evidence includes description of the issue and patch details, indicating a software governance/security vulnerability in a dependency used for AI workloads.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-828c-5j5q-vrjq
• https://github.com/tensorflow/tensorflow/commit/a0f0b9a21c9270930457095092f558fbad4c03e5
• https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ir/importexport/graphdef_import.cc

Affected or Relevant Artifacts

• Developer: tensorflow
• Deployer: tensorflow
• Artifact Details:

Impact

AVID Taxonomy Categorization

• Risk domains: Security
• SEP subcategories: S0100: Software Vulnerability
• Lifecycle stages: L06: Deployment

CVSS

CWE

Other information

• Report Type: Advisory
• Credits:
• Date Reported: 2022-09-16
• Version: 0.3.3
• AVID Entry