Vulnerability in Google Tensorflow
CVE-2022-23590
Tensorflow is an Open Source Machine Learning Framework. A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.
Published · last modified .
CVSS v3 metric
CVSS v3 base score 5.9 (Medium). Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H.
EPSS exploit prediction
EPSS: 0.010 (60.8th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 61st percentile — 60.8% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.010 · newest: 0.010 · change: +0.000
Affected products
- Google Tensorflow
- Tensorflow — versions >= 2.7.0, < 2.8.0
Weakness classification (CWE)
References
- github.com/tensorflow/tensorflow/security/advisories/GHSA-pqrv-8r2f-7278 (Patch, Third Party Advisory)
- github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439 (Patch, Third Party Advisory)
- github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/… (Exploit, Third Party Advisory)
Frequently asked questions
- What is CVE-2022-23590?
- CVE-2022-23590 is a medium-severity vulnerability in Google Tensorflow, classified under Improper Check for Unusual or Exceptional Conditions. CVSS score: 5.9/10. Published 2022-02-04.
- How severe is CVE-2022-23590?
- Medium severity. CVSS v3 base score is 5.9 out of 10.