CVE-2022-23591 is a high-severity vulnerability affecting Google TensorFlow, an open-source machine learning framework. It stems from a flaw in how TensorFlow processes GraphDef formats, specifically when loading SavedModels containing self-recursive functions, which are not permitted by design. This can lead to a stack overflow during execution, resulting in a denial of service (availability impact). The vulnerability has a CVSS score of 7.5 (HIGH) with a network attack vector and low attack complexity, requiring no user interaction. There is currently no evidence of active exploitation, publicly available exploit code, or significant community discussion surrounding this CVE.
| 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:N/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, 0.1 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.