CVE-2022-35960 is a denial-of-service vulnerability in TensorFlow, specifically affecting versions prior to 2.10.0, 2.9.1, 2.8.1, and 2.7.2. The vulnerability arises from an incorrect assumption in the TensorListReserve function regarding the size of the num_elements tensor, leading to a CHECK_EQ failure when a multi-element tensor is provided. Rated with a CVSS score of 7.5 (High), this vulnerability can be exploited remotely with low attack complexity, resulting in a complete denial of service. There is no impact on confidentiality or integrity. Currently, there is no evidence of active exploitation, nor are there any publicly available exploit modules or proof-of-concept code. Community discussion and media coverage for this CVE are minimal.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
>= 2.7.0, < 2.7.2CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
2.8.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.8.0:*:*:*:*:*:*:* | ||
2.9.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.9.0:*:*:*:*:*:*:* | ||
2.10CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.10:rc0:*:*:*:*:*:* | ||
2.10CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.10:rc1:*:*:*:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
The average CVE in this peer group has 0.0 Twitter, 0.0 Reddit, 0.1 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.