CVE-2022-35972 is a high-severity denial-of-service vulnerability affecting Google TensorFlow versions prior to 2.10.0, 2.9.1, 2.8.1, and 2.7.2. The flaw allows an unauthenticated attacker to crash the TensorFlow process by providing specially crafted input to the QuantizedBiasAdd operation, specifically when min_input, max_input, min_bias, or max_bias tensors have a non-zero rank. This vulnerability has a CVSS score of 7.5 (HIGH) due to its network-based attack vector and low attack complexity, leading to a complete loss of availability. There is currently no known public exploit code, active exploitation, or significant community discussion surrounding this CVE.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
>= 2.7.0, < 2.7.2CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
>= 2.8.0, < 2.8.1CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
>= 2.9.0, < 2.9.1CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | ||
2.10CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.10:rc0:*:*:*:*:*:* | ||
2.10CPE matchmatch criteria | cpe:2.3:a:google:tensorflow:2.10:rc1:*:*:*:*:*:* |
CVSS version used by this source: 3.1
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
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