AVID-2026-R1093

Description

CHECK fail in CollectiveGather in TensorFlow (CVE-2022-35994)

Details

TensorFlow is an open source platform for machine learning. When CollectiveGather receives an scalar input input, it gives a CHECK fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c1f491817dec39a26be3c574e86a88c30f3c4770. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Reason for inclusion in AVID: The CVE is in TensorFlow, a core AI/ML framework, affecting software used to build/train/deploy AI systems. It represents a security vulnerability (DoS) in a component of the AI software stack, with a public fix and patch details, indicating a software supply chain risk in GP AI systems.

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:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Base Score	5.9
Base Severity	🟠 Medium
Attack Vector	NETWORK
Attack Complexity	🔴 High
Privileges Required	NONE
User Interaction	NONE
Scope	UNCHANGED
Confidentiality Impact	NONE
Integrity Impact	NONE
Availability Impact	🔴 High

CWE

ID	Description
CWE-617	CWE-617: Reachable Assertion

Other information

Report Type: Advisory
Credits:
Date Reported: 2022-09-16
Version: 0.3.3
AVID Entry