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AVID-2026-R0768

Description

CHECK-fail in tf.raw_ops.RFFT (CVE-2021-29563)

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.RFFT. Eigen code operating on an empty matrix can trigger on an assertion and will cause program termination. 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-2021-29563 describes a CHECK failure (CWE-617: Reachable Assertion) in TensorFlow’s tf.raw_ops.RFFT that can cause denial of service. TensorFlow is a core ML framework used in building and running AI systems, so this is a software component used in AI pipelines. It represents a security vulnerability affecting the software supply chain for general-purpose AI systems, with documented affected versions and a remedy. The report provides sufficient evidence (CVE entry, description, affected versions, and fix timeline).

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