Vulnerability in Google Tensorflow
CVE-2023-27579
TensorFlow is an end-to-end open source platform for machine learning. Constructing a tflite model with a paramater `filter_input_channel` of less than 1 gives a FPE. This issue has been patched in version 2.12. TensorFlow will also cherrypick the fix commit on TensorFlow 2.11.1.
Published · last modified .
CVSS v3 metric
CVSS v3 base score 7.5 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H.
EPSS exploit prediction
EPSS: 0.004 (31.0th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 31st percentile — 31.0% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.004 · newest: 0.004 · change: +0.000
Affected products
- Google Tensorflow
- Tensorflow — versions < 2.11.1
Weakness classification (CWE)
References
Frequently asked questions
- What is CVE-2023-27579?
- CVE-2023-27579 is a high-severity vulnerability in Google Tensorflow, classified under Incorrect Comparison. CVSS score: 7.5/10. Published 2023-03-25.
- How severe is CVE-2023-27579?
- High severity. CVSS v3 base score is 7.5 out of 10.