AVID-2026-R1084

Description

CHECK fail in Save and SaveSlices in TensorFlow (CVE-2022-35983)

Details

TensorFlow is an open source platform for machine learning. If Save or SaveSlices is run over tensors of an unsupported dtype, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 5dd7b86b84a864b834c6fa3d7f9f51c87efa99d4. 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-2022-35983 describes a vulnerability in TensorFlow (a core AI framework) where Save/SaveSlices can trigger a denial of service when processing tensors of unsupported dtypes. TensorFlow is routinely used to build, train, deploy, and run general-purpose AI systems, making this a software supply-chain issue within AI pipelines. The report provides evidence (description, patch commit, affected versions) and references, supporting its status as a security vulnerability in a widely-used AI software component.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m6vp-8q9j-whx4
• https://github.com/tensorflow/tensorflow/commit/5dd7b86b84a864b834c6fa3d7f9f51c87efa99d4

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