Vulnerability in Google Tensorflow
CVE-2022-41911
TensorFlow is an open source platform for machine learning. When printing a tensor, we get it's data as a `const char*` array (since that's the underlying storage) and then we typecast it to the element type. However, conversions from `char` to `bool` are undefined if the `char` is not `0` or `1`, so sanitizers/fuzzers will crash. The issue has been patched in GitHub commit `1be74370327`. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1, TensorFlow 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
EPSS: 0.004 (31.6th 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 >= 2.10.0, < 2.10.1, >= 2.9.0, < 2.9.3, < 2.8.4
Weakness classification (CWE)
References
- security-advisories@github.com (Patch, Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory)
Frequently asked questions
- What is CVE-2022-41911?
- CVE-2022-41911 is a medium-severity vulnerability in Google Tensorflow, classified under Incorrect Type Conversion or Cast. CVSS score: 4.8/10. Published 2022-11-18.
- How severe is CVE-2022-41911?
- Medium severity. CVSS v3 base score is 4.8 out of 10.