Vulnerability in Google Tensorflow
CVE-2022-41893
TensorFlow is an open source platform for machine learning. If `tf.raw_ops.TensorListResize` is given a nonscalar value for input `size`, it results `CHECK` fail which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56. 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 (36.0th 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)
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-2022-41893?
- CVE-2022-41893 is a medium-severity vulnerability in Google Tensorflow, classified under Reachable Assertion. CVSS score: 4.8/10. Published 2022-11-18.
- How severe is CVE-2022-41893?
- Medium severity. CVSS v3 base score is 4.8 out of 10.
- Is CVE-2022-41893 known to be exploited?
- 2 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.