Vulnerability in Google Tensorflow
CVE-2022-41884
TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. 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.
Published · last modified .
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.
EPSS exploit prediction
EPSS: 0.004 (26.8th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 27th percentile — 26.8% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.003 · newest: 0.004 · change: +0.000
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)
Public proof-of-concept exploits
References
- github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636 (Exploit, Patch, Third Party Advisory)
- github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784 (Patch, Third Party Advisory)
Frequently asked questions
- What is CVE-2022-41884?
- CVE-2022-41884 is a medium-severity vulnerability in Google Tensorflow, classified under Always-Incorrect Control Flow Implementation. CVSS score: 4.8/10. Published 2022-11-18.
- How severe is CVE-2022-41884?
- Medium severity. CVSS v3 base score is 4.8 out of 10.
- Is CVE-2022-41884 known to be exploited?
- 2 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.