AVID-2026-R1114

Description

Segfault TFLite converter on per-channel quantized transposed convolutions in TensorFlow (CVE-2022-36027)

Details

TensorFlow is an open source platform for machine learning. When converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process. We have patched the issue in GitHub commit aa0b852a4588cea4d36b74feb05d93055540b450. 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: CVE-2022-36027 describes a segfault in TensorFlow’s TFLite converter when handling per-channel quantized transposed convolutions, a vulnerability affecting AI software tooling. It impacts a component (TensorFlow / TFLite converter) used to build/deploy AI models, i.e., a software supply chain element for general-purpose AI systems. It is a security-style vulnerability (availability impact, crash) with patched fix and CVE advisory, and the report provides sources (NVD, GitHub advisory, commit). Evidence is sufficient.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-79h2-q768-fpxr
• https://github.com/tensorflow/tensorflow/issues/53767
• https://github.com/tensorflow/tensorflow/commit/aa0b852a4588cea4d36b74feb05d93055540b450

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