CVE-2021-41219 is a high-severity vulnerability in TensorFlow, an open-source machine learning platform, affecting versions prior to 2.7.0, 2.6.1, 2.5.2, and 2.4.4. It involves undefined behavior during sparse matrix multiplication when input dimensions are zero or negative, leading to potential heap out-of-bounds access. The vulnerability has a CVSS score of 7.8 (High), indicating that a local attacker with low privileges can achieve high confidentiality, integrity, and availability impacts with low attack complexity. There is currently no evidence of active exploitation, public exploit code, or significant community discussion surrounding this CVE.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
< 2.4.4CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
>= 2.5.0, < 2.5.2CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
2.6.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.6.0:*:*:*:*:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
The average CVE in this peer group has 0.0 Twitter, 0.1 Reddit, 0.2 Bluesky, 0.1 Mastodon, and 0.2 GitHub mentions.
No media coverage found for this CVE.
The average CVE in this peer group has 0.3 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.