CVE-2022-29212 describes a vulnerability in TensorFlow, specifically affecting TFLite models created with the TFLite model converter prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4. The flaw causes the TFLite interpreter to crash due to an assertion failure during quantization when the scale of values exceeds an assumed sub-unit scaling. This vulnerability has a CVSS score of 5.5 (Medium), indicating a local attack vector with low complexity, requiring low privileges, and resulting in high availability impact (denial of service). There is no evidence of active exploitation, public exploit code (Metasploit, Nuclei, ExploitDB), or significant community discussion or media coverage surrounding this CVE.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
< 2.6.4CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
>= 2.7.0, < 2.7.2CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
2.7.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.7.0:rc0:*:*:*:*:*:* | ||
2.7.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.7.0:rc1:*:*:*:*:*:* | ||
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.