Home » Database

AVID-2026-R0767

Description

CHECK-fail in tf.raw_ops.IRFFT (CVE-2021-29562)

Details

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service by exploiting a CHECK-failure coming from the implementation of tf.raw_ops.IRFFT. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Reason for inclusion in AVID: CVE-2021-29562 describes a CHECK-failure in TensorFlow (tf.raw_ops.IRFFT) that can cause a denial of service. This concerns AI/ML software (TensorFlow), is a vulnerability in a software component used to build/run AI systems, and has documented CVE and remediation details. It is a software supply-chain issue relevant to general-purpose AI stacks.

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:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Base Score2.5
Base Severity🟢 Low
Attack VectorLOCAL
Attack Complexity🔴 High
Privileges Required🟢 Low
User InteractionNONE
ScopeUNCHANGED
Confidentiality ImpactNONE
Integrity ImpactNONE
Availability Impact🟢 Low

CWE

IDDescription
CWE-617CWE-617: Reachable Assertion

Other information

  • Report Type: Advisory
  • Credits:
  • Date Reported: 2021-05-14
  • Version: 0.3.3
  • AVID Entry