Out-of-bounds Read in Google Tensorflow
CVE-2022-41897
TensorFlow is an open source platform for machine learning. If `FractionMaxPoolGrad` is given outsize inputs `row_pooling_sequence` and `col_pooling_sequence`, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Vulnerability class: Buffer Overflow
EPSS: 0.004 (36.1th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 4.8 (Medium). Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H.
Affected products
- Google Tensorflow
- Tensorflow — versions >= 2.10.0, < 2.10.1, >= 2.9.0, < 2.9.3, < 2.8.4
Weakness classification (CWE)
References
- security-advisories@github.com (Exploit, Patch, Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory)
- security-advisories@github.com (Third Party Advisory)
Frequently asked questions
- What is CVE-2022-41897?
- CVE-2022-41897 is a medium-severity vulnerability in Google Tensorflow, classified under Out-of-bounds Read. CVSS score: 4.8/10. Published 2022-11-18.
- How severe is CVE-2022-41897?
- Medium severity. CVSS v3 base score is 4.8 out of 10.