AVID-2026-R0979

Description

Null-dereference in Tensorflow (CVE-2022-23577)

Details

Tensorflow is an Open Source Machine Learning Framework. The implementation of GetInitOp is vulnerable to a crash caused by dereferencing a null pointer. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Reason for inclusion in AVID: CVE-2022-23577 describes a null pointer dereference in TensorFlow, a widely-used AI framework. It affects software used to build/train/serve AI systems (dependency in ML pipelines). It is a security/safety vulnerability with availability impact (crash). Evidence is provided (CVE entry, advisory, commit). Therefore it should be kept for AVID curation as a software supply-chain vulnerability in general-purpose 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:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Base Score	6.5
Base Severity	🟠 Medium
Attack Vector	NETWORK
Attack Complexity	🟢 Low
Privileges Required	🟢 Low
User Interaction	NONE
Scope	UNCHANGED
Confidentiality Impact	NONE
Integrity Impact	NONE
Availability Impact	🔴 High

CWE

ID	Description
CWE-476	CWE-476: NULL Pointer Dereference

Other information

Report Type: Advisory
Credits:
Date Reported: 2022-02-04
Version: 0.3.3
AVID Entry