CVE-2022-35935 is a denial-of-service vulnerability affecting TensorFlow, an open-source machine learning platform. The vulnerability stems from an assertion failure in the SobolSampleOp implementation due to incorrect assumptions about input types. With a CVSS score of 7.5 (HIGH), this vulnerability can be exploited remotely with low attack complexity, leading to a complete denial of service without impacting confidentiality or integrity. While patches are available in TensorFlow 2.10.0 and will be backported to 2.9.1, 2.8.1, and 2.7.2, there are no known workarounds. There is currently no evidence of active exploitation, public exploit code, 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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