AVID-2026-R1106

Description

Assertion fail on MLIR empty edge names in TensorFlow (CVE-2022-36012)

Details

TensorFlow is an open source platform for machine learning. When mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it crashes. We have patched the issue in GitHub commit ad069af92392efee1418c48ff561fd3070a03d7b. 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-2022-36012 describes a vulnerability in TensorFlow (an ML framework) where an assertion can crash the process when given certain inputs. This is a software vulnerability within a widely used AI software stack. TensorFlow is a core component in AI model training and deployment pipelines, making it a relevant supplier chain item. The issue has a CVE entry, explicit impact, a patch, and is addressed in multiple TensorFlow versions, providing sufficient evidence for classification.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jvhc-5hhr-w3v5
• https://github.com/tensorflow/tensorflow/commit/ad069af92392efee1418c48ff561fd3070a03d7b
• https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ir/importexport/functiondef_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