AVID-2026-R1014

Description

Missing validation causes denial of service via GetSessionTensor in TensorFlow (CVE-2022-29191)

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.GetSessionTensor 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: TensorFlow is a core AI framework; CVE-2022-29191 describes a security vulnerability (denial of service due to improper input validation) in tf.raw_ops.GetSessionTensor. It affects widely used AI software packages and is in the software supply chain (dependency) used to build/train/deploy AI systems. The report provides explicit CVE details, affected versions, and references, supporting its relevance to AI stacks and supply-chain risk.

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-fv25-wrff-wf86
• https://github.com/tensorflow/tensorflow/commit/48305e8ffe5246d67570b64096a96f8e315a7281
• https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/session_ops.cc#L94-L112

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