CVE-2022-41899 is a denial-of-service vulnerability affecting TensorFlow, an open-source machine learning platform. Specifically, providing inputs of incorrect rank to the SdcaOptimizer component can trigger a CHECK fail, leading to program termination. This vulnerability carries a CVSS v3.1 score of 7.5 (HIGH), indicating that it can be exploited remotely with low attack complexity, requiring no user interaction, and resulting in high availability impact. There is no impact on confidentiality or integrity. Currently, there is no evidence of active exploitation, public exploit code (e.g., Metasploit, Nuclei, ExploitDB), or significant community discussion surrounding this CVE. Patches have been released in TensorFlow 2.11 and backported to versions 2.10.1, 2.9.3, and 2.8.4.
| 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:N/I:N/A:H
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The average CVE in this peer group has 0.1 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.