CVE-2022-29201 is a medium-severity vulnerability affecting TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4. It stems from insufficient input validation in the tf.raw_ops.QuantizedConv2D function, leading to null pointer dereferences and a denial of service. The vulnerability has a CVSS score of 5.5, indicating a local attack with low complexity and high impact on availability. There is currently no evidence of active exploitation, public exploit code, or significant community discussion 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
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The average CVE in this peer group has 0.1 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.