CVE-2022-21731 describes a denial-of-service vulnerability in TensorFlow, specifically within the shape inference implementation for the ConcatV2 operation. A type confusion error, triggered by a manipulated 'axis' argument, can lead to a segfault. This vulnerability has a CVSS score of 6.5 (Medium), indicating it can be exploited remotely with low complexity by a low-privileged attacker, resulting in high availability impact. There is currently no evidence of active exploitation, public exploit code, or significant community discussion surrounding this CVE.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
<= 2.5.2CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
>= 2.6.0, <= 2.6.2CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
2.7.0CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
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