AVID-2026-R1024

Description

Missing validation in QuantizedConv2D results in undefined behavior in TensorFlow (CVE-2022-29201)

Details

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.raw_ops.QuantizedConv2D does not fully validate the input arguments. In this case, references get bound to nullptr for each argument that is empty. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Reason for inclusion in AVID: CVE-2022-29201 describes a vulnerability in TensorFlow’s QuantizedConv2D input validation leading to undefined behavior (null pointer dereference). TensorFlow is an ML framework used in AI systems, and the flaw affects a software component commonly used to build/deploy AI models, representing a software supply chain issue for GP AI systems. The report provides explicit vulnerability details, affected versions, and patches, satisfying evidentiary requirements.

References

• NVD entry
• https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4
• https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2
• https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1
• https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pqhm-4wvf-2jg8
• https://github.com/tensorflow/tensorflow/commit/0f0b080ecde4d3dfec158d6f60da34d5e31693c4
• https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantized_conv_ops.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: 2022-05-20
• Version: 0.3.3
• AVID Entry