QwikSec

Security Database

CVE

CWE

Training

CVE Database
/

CVE-2022-36005

Back to search

CVE-2022-36005

Published: Sep 16, 2022

Modified: Apr 23, 2025

PUBLISHED

CVSS v3.1

5.9

MEDIUM

Description

TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_gradient` receives input `min` or `max` that is nonscalar, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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.

VendorProductVersions

tensorflow

tensorflow

affected
< 2.7.2
affected
>= 2.8.0, < 2.8.1
affected
>= 2.9.0, < 2.9.1

Weaknesses (CWE)

CWE-617

CVSS v3.1 Details

CVSS v3.1 Vector

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

Attack Vector

Network

Attack Complexity

High

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

None

Integrity

None

Availability

High

References

Security Training

Train your team to recognize and prevent security threats with our comprehensive security awareness program.

Start Training

Vulnerability Scanning

Discover vulnerabilities in your applications and infrastructure before attackers do.

Scan Now