AVID-2026-R0981

Description

CHECK-failures during Grappler’s SafeToRemoveIdentity in Tensorflow (CVE-2022-23579)

Details

Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a SavedModel such that SafeToRemoveIdentity would trigger CHECK failures. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Reason for inclusion in AVID: The candidate describes CVE-2022-23579, a security vulnerability in TensorFlow’s Grappler that can cause a denial of service by altering a SavedModel. TensorFlow is an AI framework widely used in ML model build/train/deploy pipelines. The issue affects software components used to build/run general-purpose AI systems, representing a software supply-chain vulnerability within AI tooling. The description provides CVE details, affected versions, impact (DoS), and references, supporting evidence for classification.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5f2r-qp73-37mr
• https://github.com/tensorflow/tensorflow/commit/92dba16749fae36c246bec3f9ba474d9ddeb7662
• https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/dependency_optimizer.cc#L59-L98

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: 2022-02-04
• Version: 0.3.3
• AVID Entry