AVID-2026-R1149

Description

CHECK fail via inputs in SdcaOptimizer in Tensorflow (CVE-2022-41899)

Details

TensorFlow is an open source platform for machine learning. Inputs dense_features or example_state_data not of rank 2 will trigger a CHECK fail in SdcaOptimizer. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Reason for inclusion in AVID: CVE-2022-41899 describes an improper input validation (CWE-20) in TensorFlow’s SdcaOptimizer that can trigger a CHECK failure when inputs are not rank-2. TensorFlow is a core ML framework used to build/train AI systems, so this is a software vulnerability in a component commonly used in AI pipelines. The advisory provides details of the affected component, a fix commit, affected versions, and CVSS metrics, all of which support classification as a software supply-chain vulnerability in AI stacks.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-27rc-728f-x5w2
• https://github.com/tensorflow/tensorflow/commit/80ff197d03db2a70c6a111f97dcdacad1b0babfa
• https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/sdca_internal.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: 2022-11-18
• Version: 0.3.3
• AVID Entry