AVID-2026-R0810

Description

Segfault in tf.raw_ops.SparseCountSparseOutput (CVE-2021-29619)

Details

TensorFlow is an end-to-end open source platform for machine learning. Passing invalid arguments (e.g., discovered via fuzzing) to tf.raw_ops.SparseCountSparseOutput results in segfault. 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: The CVE describes a vulnerability in TensorFlow (an AI/ML framework) where invalid arguments to a core operation (tf.raw_ops.SparseCountSparseOutput) can cause a segfault. This directly affects software used to build/train/deploy AI systems, i.e., the AI software stack and its dependencies. It is a security vulnerability (CWE-755) with a published advisory and a patch in TensorFlow versions, indicating clear software supply-chain relevance for general-purpose AI systems. Evidence is explicit in the CVE entry and associated advisory.

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:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Base Score	2.5
Base Severity	🟢 Low
Attack Vector	LOCAL
Attack Complexity	🔴 High
Privileges Required	🟢 Low
User Interaction	NONE
Scope	UNCHANGED
Confidentiality Impact	NONE
Integrity Impact	NONE
Availability Impact	🟢 Low

CWE

ID	Description
CWE-755	CWE-755: Improper Handling of Exceptional Conditions

Other information

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