AVID-2026-R0901

Description

FPE in convolutions with zero size filters (CVE-2021-41209)

Details

TensorFlow is an open source platform for machine learning. In affected versions the implementations for convolution operators trigger a division by 0 if passed empty filter tensor arguments. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Reason for inclusion in AVID: CVE-2021-41209 describes a functional flaw (divide-by-zero) in TensorFlow convolution implementations, an ML framework used in AI pipelines. This is a software supply-chain vulnerability in a component (TensorFlow) used to build/train/deploy AI systems, with clear signals of impact, affected versions, and a fix. Therefore it qualifies for AVID curation as a vulnerability in the AI software stack.

References

Affected or Relevant Artifacts

Developer: tensorflow
Deployer: tensorflow
Artifact Details:

Type	Name
System	tensorflow

Impact

AVID Taxonomy Categorization

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

CVSS

Version	3.1
Vector String	CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Base Score	5.5
Base Severity	🟠 Medium
Attack Vector	LOCAL
Attack Complexity	🟢 Low
Privileges Required	🟢 Low
User Interaction	NONE
Scope	UNCHANGED
Confidentiality Impact	NONE
Integrity Impact	NONE
Availability Impact	🔴 High

CWE

ID	Description
CWE-369	CWE-369: Divide By Zero

Other information

Report Type: Advisory
Credits:
Date Reported: 2021-11-05
Version: 0.3.3
AVID Entry