AVID-2026-R1017

Description

Missing validation causes denial of service via DeleteSessionTensor in TensorFlow (CVE-2022-29194)

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.DeleteSessionTensor does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack. 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-2022-29194 describes a vulnerability in TensorFlow’s DeleteSessionTensor input validation causing a denial of service. TensorFlow is a core ML/AI framework; this is a software supply-chain vulnerability affecting AI pipelines that depend on the library. Evidence: CVE description, affected versions, patches, references.

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-h5g4-ppwx-48q2
• https://github.com/tensorflow/tensorflow/commit/cff267650c6a1b266e4b4500f69fbc49cdd773c5
• https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/session_ops.cc#L128-L144

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