AVID-2026-R0916

Description

Heap OOB read in SparseBinCount (CVE-2021-41226)

Details

TensorFlow is an open source platform for machine learning. In affected versions the implementation of SparseBinCount is vulnerable to a heap OOB access. This is because of missing validation between the elements of the values argument and the shape of the sparse output. 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-2021-41226 is a TensorFlow heap out-of-bounds read in SparseBinCount. TensorFlow is an ML framework used in AI pipelines; this is a security vulnerability in a software component commonly used to build/train/serve AI systems. The AVID candidate cites CVE details, affected versions, and fixes, providing sufficient evidence for a supply-chain vulnerability in AI software stacks.

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:H/I:N/A:H
Base Score	7.1
Base Severity	🔴 High
Attack Vector	LOCAL
Attack Complexity	🟢 Low
Privileges Required	🟢 Low
User Interaction	NONE
Scope	UNCHANGED
Confidentiality Impact	🔴 High
Integrity Impact	NONE
Availability Impact	🔴 High

CWE

ID	Description
CWE-125	CWE-125: Out-of-bounds Read

Other information

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