CVE-2022-21729 is a medium-severity vulnerability affecting Google TensorFlow, an open-source machine learning framework. It stems from an integer overflow in the UnravelIndex implementation, leading to a division-by-zero error. The vulnerability has a CVSS score of 6.5, indicating it can be exploited remotely with low attack complexity, resulting in high availability impact. There is currently no evidence of active exploitation, public exploit code (Metasploit, Nuclei, ExploitDB), or significant community discussion or media coverage. Fixes are planned for TensorFlow 2.8.0 and backported to versions 2.7.1, 2.6.3, and 2.5.3.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
<= 2.5.2CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
>= 2.6.0, <= 2.6.2CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
2.7.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
No social media mentions found for this CVE.
The average CVE in this peer group has 0.0 Twitter, 0.0 Reddit, 0.1 Bluesky, 0.0 Mastodon, and 0.1 GitHub mentions.
No media coverage found for this CVE.
The average CVE in this peer group has 0.0 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.