CVE-2022-41900 is a critical vulnerability in TensorFlow, an open-source machine learning platform, specifically affecting the FractionalMax(AVG)Pool operation with illegal pooling_ratio. This flaw allows attackers to access out-of-bounds heap memory, potentially leading to application crashes or remote code execution. With a CVSS score of 9.8 (CRITICAL), it presents a severe risk due to its network-based attack vector, low complexity, and high impact on confidentiality, integrity, and availability. While no active exploitation, public exploit code, or significant community discussion has been observed, the vulnerability has been patched in TensorFlow 2.11.0 and 2.10.1.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
< 2.8.4CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
>= 2.9.0, < 2.9.3CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
2.10.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.10.0:*:*:*:*:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H
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The average CVE in this peer group has 0.3 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.