CVE-2021-37665 is a high-severity vulnerability affecting TensorFlow versions prior to 2.6.0, 2.5.1, 2.4.3, and 2.3.4. It stems from incomplete input validation in the MKL requantization implementation, allowing an authenticated local attacker to trigger undefined behavior, including null pointer dereferences or out-of-bounds memory access. This can lead to high impact on confidentiality, integrity, and availability. While no active exploitation or public exploit code has been observed, and community discussion is minimal, the vulnerability has been patched in newer TensorFlow versions.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
>= 2.3.0, < 2.3.4CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
>= 2.4.0, < 2.4.3CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
2.5.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.5.0:*:*:*:*:*:*:* | ||
2.6.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:* | ||
2.6.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.6.0:rc1:*:*:*:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
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The average CVE in this peer group has 0.3 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.