CVE-2022-36026 is a denial-of-service vulnerability affecting Google TensorFlow, specifically within the QuantizeAndDequantizeV3 operation. If a nonscalar num_bits input tensor is provided, it triggers a CHECK fail, leading to a system crash. This vulnerability has a CVSS score of 7.5 (HIGH), indicating it can be exploited remotely with low complexity and results in high availability impact. There is no known active exploitation, public exploit code, or significant community discussion surrounding this CVE. Patches are available in TensorFlow 2.10.0 and will be backported to versions 2.9.1, 2.8.1, and 2.7.2.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
< 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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The average CVE in this peer group has 0.1 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.