CVE-2022-35940 affects Google TensorFlow, where a large float input to the RaggedRangOp function can cause an integer overflow when converted to an int64, leading to a program crash. This vulnerability has a CVSS score of 7.5 (HIGH), indicating a network-based attack with low complexity that can result in high availability impact. There are no known workarounds, and while patches are available in TensorFlow 2.10.0 and backported to earlier supported versions, there is currently no evidence of active exploitation, public exploit code, or significant community discussion.
| 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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