Vulnerability in Google Tensorflow
CVE-2022-41885
TensorFlow is an open source platform for machine learning. When `tf.raw_ops.FusedResizeAndPadConv2D` is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. 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.
EPSS: 0.004 (35.3th 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 — versions 2.10.0
- Tensorflow — versions >= 2.9.0, < 2.9.1, >= 2.8.0, < 2.8.1, < 2.7.4
Weakness classification (CWE)
Public proof-of-concept exploits
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-2022-41885?
- CVE-2022-41885 is a medium-severity vulnerability in Google Tensorflow, classified under Incorrect Calculation of Buffer Size. CVSS score: 4.8/10. Published 2022-11-18.
- How severe is CVE-2022-41885?
- Medium severity. CVSS v3 base score is 4.8 out of 10.
- Is CVE-2022-41885 known to be exploited?
- 1 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.