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AVID-2026-R0855

Description

Incomplete validation in MKL requantization in TensorFlow (CVE-2021-37665)

Details

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The implementation does not validate the dimensions of the input tensor. A similar issue occurs in MklRequantizePerChannelOp. The implementation does not perform full validation for all the input arguments. We have patched the issue in GitHub commit 9e62869465573cb2d9b5053f1fa02a81fce21d69 and in the Github commit 203214568f5bc237603dbab6e1fd389f1572f5c9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Reason for inclusion in AVID: CVE-2021-37665 describes incomplete input validation in TensorFlow’s MKL requantization code, enabling local exploitation and memory access violations. This is a software vulnerability in a core AI framework used to build/train/deploy general-purpose AI systems, thus relevant to the AI software supply chain. Evidence includes description of the affected TensorFlow components, commits for fixes, and CVSS data.

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:H/I:H/A:H
Base Score7.8
Base Severity🔴 High
Attack VectorLOCAL
Attack Complexity🟢 Low
Privileges Required🟢 Low
User InteractionNONE
ScopeUNCHANGED
Confidentiality Impact🔴 High
Integrity Impact🔴 High
Availability Impact🔴 High

CWE

IDDescription
CWE-20CWE-20: Improper Input Validation

Other information

  • Report Type: Advisory
  • Credits:
  • Date Reported: 2021-08-12
  • Version: 0.3.3
  • AVID Entry