CVE-2022-29210 is a denial-of-service vulnerability affecting TensorFlow versions 2.8.0 and earlier. The vulnerability stems from an incorrect hash function implementation in TensorKey, which misused estimated allocated bytes and attempted to access non-contiguous memory, leading to ASAN failures. This issue has been patched in TensorFlow versions 2.9.0 and 2.8.1. Rated with a CVSS score of 5.5 (Medium), this vulnerability has a local attack vector with low attack complexity, requiring local privileges. The primary impact is a high availability loss, meaning an attacker could cause the application to crash, but there is no impact on confidentiality or integrity. Currently, there is no evidence of active exploitation, and no public exploit code (Metasploit, Nuclei, ExploitDB) is available. Community discussion and media coverage for this CVE are minimal, which is typical for a significant portion of reported vulnerabilities.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
2.8.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.8.0:*:*:*:*:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:L/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, 0.0 Bluesky, 0.0 Mastodon, and 0.1 GitHub mentions.
No media coverage found for this CVE.
The average CVE in this peer group has 0.1 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.