CVE-2022-29202 is a denial-of-service vulnerability in TensorFlow, affecting versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4. The flaw lies in the incomplete input validation of tf.ragged.constant, allowing an attacker to consume all available memory. Rated as Medium severity (CVSS 5.5), this vulnerability requires local access and low privileges, leading to high availability impact without affecting confidentiality or integrity. 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.