AVID-2026-R1020

Description

Missing validation causes denial of service in TensorFlow via UnsortedSegmentJoin (CVE-2022-29197)

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.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack. The code assumes num_segments is a scalar but there is no validation for this before accessing its value. 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-2022-29197 describes a vulnerability in TensorFlow (an AI/ML framework) that allows denial of service due to missing input validation in tf.raw_ops.UnsortedSegmentJoin. TensorFlow is a core component used to build/train/deploy AI systems, so this affects the AI software stack and the broader supply chain for general-purpose AI. The report provides affected versions and patches, satisfying evidence criteria.

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-hrg5-737c-2p56
• https://github.com/tensorflow/tensorflow/commit/13d38a07ce9143e044aa737cfd7bb759d0e9b400
• https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/unsorted_segment_join_op.cc#L92-L95

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