CVE-2021-29596 is a high-severity division by zero vulnerability affecting the TensorFlow machine learning platform, specifically within the EmbeddingLookup TFLite operator. An attacker can trigger this flaw by crafting a malicious model where the 'value' input's first dimension is zero. With a CVSS score of 7.8, this vulnerability allows for local attacks with low complexity, potentially leading to high impact on confidentiality, integrity, and availability. There is currently no evidence of active exploitation, publicly available exploit code, or significant community discussion surrounding this CVE.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
< 2.1.4CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
>= 2.2.0, < 2.2.3CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
>= 2.3.0, < 2.3.3CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
>= 2.4.0, < 2.4.2CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
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.