CVE-2022-21735 is a division-by-zero vulnerability affecting Google TensorFlow's FractionalMaxPool implementation, which can lead to a denial-of-service condition. With a CVSS score of 6.5 (Medium), it can be exploited remotely with low privileges and complexity, resulting in high availability impact. There is currently no evidence of active exploitation, public exploit code, or significant community discussion, indicating a low immediate threat.
| 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
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.