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AVID-2026-R1022

Description

Missing validation causes denial of service in TensorFlow via LoadAndRemapMatrix (CVE-2022-29199)

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.LoadAndRemapMatrix 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 initializing_values` is a vector 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-2022-29199 describes a missing input validation in TensorFlow’s LoadAndRemapMatrix causing a denial-of-service via a CHECK failure. TensorFlow is a core ML framework used in AI model development and deployment, so this is directly within the software supply chain for general-purpose AI systems. The vulnerability is a security/safety issue (DoS) with clear exploit behavior and comes with CVE details and patch references.

References

Affected or Relevant Artifacts

  • Developer: tensorflow
  • Deployer: tensorflow
  • Artifact Details:
TypeName
Systemtensorflow

Impact

AVID Taxonomy Categorization

  • Risk domains: Security
  • SEP subcategories: S0100: Software Vulnerability
  • Lifecycle stages: L06: Deployment

CVSS

Version3.1
Vector StringCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Base Score5.5
Base Severity🟠 Medium
Attack VectorLOCAL
Attack Complexity🟢 Low
Privileges Required🟢 Low
User InteractionNONE
ScopeUNCHANGED
Confidentiality ImpactNONE
Integrity ImpactNONE
Availability Impact🔴 High

CWE

IDDescription
CWE-20CWE-20: Improper Input Validation

Other information

  • Report Type: Advisory
  • Credits:
  • Date Reported: 2022-05-20
  • Version: 0.3.3
  • AVID Entry