CVE-2022-35959 is a denial-of-service vulnerability affecting Google TensorFlow, specifically within the AvgPool3DGradOp implementation due to insufficient input validation. This flaw allows an unauthenticated attacker to trigger a CHECK failure, leading to a denial of service. With a CVSS score of 7.5 (High), it presents a low attack complexity and requires no user interaction, but only impacts availability. Currently, there is no evidence of active exploitation, no public exploit code (Metasploit, Nuclei, ExploitDB), and minimal community discussion or media coverage.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
>= 2.7.0, < 2.7.2CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
2.8.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.8.0:*:*:*:*:*:*:* | ||
2.9.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.9.0:*:*:*:*:*:*:* | ||
2.10CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.10:rc0:*:*:*:*:*:* | ||
2.10CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.10:rc1:*:*:*:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:N/AC:H/PR:N/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, 0.1 Mastodon, and 0.4 GitHub mentions.
No media coverage found for this CVE.
The average CVE in this peer group has 0.1 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.