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AVID-2026-R1032

Description

Type confusion leading to CHECK-failure based denial of service in TensorFlow (CVE-2022-29209)

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 macros that TensorFlow uses for writing assertions (e.g., CHECK_LT, CHECK_GT, etc.) have an incorrect logic when comparing size_t and int values. Due to type conversion rules, several of the macros would trigger incorrectly. 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-2022-29209 describes a type confusion in TensorFlow macros that can trigger a denial of service. TensorFlow is a core AI framework used in ML pipelines, training, serving, and deployment, making this a software supply-chain vulnerability within AI stacks. The issue is a security vulnerability (DoS) within software used to build AI systems, and the report provides sufficient evidence (CVE entry, advisories, and release notes).

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-843CWE-843: Access of Resource Using Incompatible Type (‘Type Confusion’)

Other information

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