CVE-2022-41900
CWE-125Published: November 18, 2022· Updated: Jun 17, 2026
Official Description
TensorFlow is an open source platform for machine learning. The security vulnerability results in FractionalMax(AVG)Pool with illegal pooling_ratio. Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or remote code execution. We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.
Risk Analysis
TensorFlow is vulnerable to memory corruption when processing FractionalMax(AVG)Pool operations with illegal pooling ratios. This critical flaw, rated 9.8, can lead to a crash or remote code execution by an attacker.
No public exploit is known, and it is not in the CISA KEV. The vulnerability is remotely exploitable with low attack complexity.
Update TensorFlow to version 2.11.0 or apply the relevant patches to versions 2.10.1. Ensure machine learning models are sourced from trusted origins.
Technical Analysis
CVE-2022-41900 can be exploited remotely over the network without requiring physical or adjacent access, significantly expanding the attack surface for threat actors.
The vulnerability requires no privileges and no user interaction, making it a prime target for automated exploitation campaigns and worm-like propagation.
A successful exploit results in complete confidentiality breach (data exposure), full integrity compromise (data manipulation), availability disruption (denial of service), with a CVSS base score of 9.8.
CVSS v3.1 Vector Breakdown
Affected Vendors & Products
Exploit & PoC Resources
Official Patches & Advisories
All References (4)
Quick Facts
Related CVEs (CWE-125)
Recommended Actions
- →Apply vendor patches immediately
- →Monitor CVE-2022-41900 in threat intel feeds
- →Review IDS/IPS signatures for exploitation attempts