Out-of-bounds Read in Google Tensorflow
CVE-2022-21730
Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Vulnerability class: Buffer Overflow
EPSS: 0.008 (53.4th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 8.1 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H.
Affected products
- Google Tensorflow — versions 2.7.0
- N/a — versions n/a
Weakness classification (CWE)
References
- security-advisories@github.com (x_refsource_CONFIRM, Patch, Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory, x_refsource_MISC)
- security-advisories@github.com (Exploit, Third Party Advisory, x_refsource_MISC)
Frequently asked questions
- What is CVE-2022-21730?
- CVE-2022-21730 is a high-severity vulnerability in Google Tensorflow, classified under Out-of-bounds Read. CVSS score: 8.1/10. Published 2022-02-03.
- How severe is CVE-2022-21730?
- High severity. CVSS v3 base score is 8.1 out of 10.