CVE-2022-21730 is a high-severity heap out-of-bounds read vulnerability affecting Google TensorFlow versions prior to 2.8.0, 2.7.1, 2.6.3, and 2.5.3. This flaw, stemming from improper handling of invalid input tensors in the FractionalAvgPoolGrad operation, allows an authenticated attacker to read sensitive data from memory. With a CVSS score of 8.1, it presents a high risk of confidentiality and availability impact, requiring no user interaction for exploitation. Currently, there is no evidence of active exploitation, publicly available exploit code, or significant community discussion surrounding this vulnerability.
| 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:H/I:N/A:H
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