CVE-2022-41883 is a denial-of-service vulnerability affecting TensorFlow, an open-source machine learning platform. It occurs when TensorFlow operations expecting a specific number of inputs receive a different quantity, leading to an executor crash. With a CVSS score of 7.5 (HIGH), this vulnerability can be exploited remotely without authentication, resulting in high availability impact. While patches are available in TensorFlow 2.11 and backported to earlier supported versions, there is currently no evidence of active exploitation, public exploit code, or significant community discussion.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
2.10.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.10.0:-:*:*:*:*:*:* | ||
2.10.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.10.0:rc0:*:*:*:*:*:* | ||
2.10.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.10.0:rc1:*:*:*:*:*:* | ||
2.10.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.10.0:rc2:*:*:*:*:*:* | ||
2.10.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.10.0:rc3:*:*:*:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/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.