AVID-2026-R0900

Description

Division by zero in ParallelConcat (CVE-2021-41207)

Details

TensorFlow is an open source platform for machine learning. In affected versions the implementation of ParallelConcat misses some input validation and can produce a division by 0. 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-2021-41207 describes a software vulnerability in TensorFlow (an AI framework) causing a division by zero in ParallelConcat. It affects AI software stacks, is in a library commonly used to build/train/deploy AI systems, and is a vulnerability impacting availability. It fits the AI-related, GP-AI-supply-chain, and security categories, with clear evidence (CVE entry, commit, advisory). Therefore, it should be kept for AVID curation.

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