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AVID-2026-R0947

Description

Type confusion leading to segfault in Tensorflow (CVE-2022-21731)

Details

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion. The axis argument is translated into concat_dim in the ConcatShapeHelper helper function. Then, a value for min_rank is computed based on concat_dim. This is then used to validate that the values tensor has at least the required rank. However, WithRankAtLeast receives the lower bound as a 64-bits value and then compares it against the maximum 32-bits integer value that could be represented. Due to the fact that min_rank is a 32-bits value and the value of axis, the rank argument is a negative value, so the error check is bypassed. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Reason for inclusion in AVID: CVE-2022-21731 describes a type-confusion vulnerability in TensorFlow’s ConcatV2 shape inference that can cause a denial of service (segfault). TensorFlow is a core software library used to build, train, deploy, and run AI systems, making this a software supply-chain issue within AI stacks. The vulnerability affects widely used AI software and has documented affected versions with a fix, meeting the criteria for security-related vulnerabilities in the AI software supply chain.

References

Affected or Relevant Artifacts

  • Developer: n/a
  • Deployer: n/a
  • Artifact Details:
TypeName
Systemn/a

Impact

AVID Taxonomy Categorization

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

CVSS

Version3.1
Vector StringCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Base Score6.5
Base Severity🟠 Medium
Attack VectorNETWORK
Attack Complexity🟢 Low
Privileges Required🟢 Low
User InteractionNONE
ScopeUNCHANGED
Confidentiality ImpactNONE
Integrity ImpactNONE
Availability Impact🔴 High

Other information

  • Report Type: Advisory
  • Credits:
  • Date Reported: 2022-02-03
  • Version: 0.3.3
  • AVID Entry