AVID-2026-R0988

Description

Multiple CHECK-fails in function.cc in Tensorflow (CVE-2022-23586)

Details

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that assertions in function.cc would be falsified and crash the Python interpreter. 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-2022-23586 describes a vulnerability in TensorFlow where a crafted SavedModel can trigger assertions and crash the Python interpreter, causing a denial of service. TensorFlow is a core AI/ML framework, and this vulnerability affects the software stack used to build, train, deploy, and run general-purpose AI systems (e.g., models and serving pipelines). The report provides explicit evidence (CVE, affected versions, fixed versions, CVSS details, and references), satisfying the criteria for a software supply-chain vulnerability in 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-617	CWE-617: Reachable Assertion

Other information

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