CVE-2023-25662: TensorFlow vulnerable to integer overflow in EditDistance
First published: Fri Mar 24 2023(Updated: )
TensorFlow is an open source platform for machine learning. Versions prior to 2.12.0 and 2.11.1 are vulnerable to integer overflow in EditDistance. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
Credit: security-advisories@github.com
| Affected Software | Affected Version | How to fix |
|---|---|---|
| Google TensorFlow | <2.12.0 |
Never miss a vulnerability like this again
Sign up to SecAlerts for real-time vulnerability data matched to your software, aggregated from hundreds of sources.
Reference Links
Frequently Asked Questions
What is the vulnerability ID for this TensorFlow vulnerability?
The vulnerability ID is CVE-2023-25662.
What is TensorFlow?
TensorFlow is an open source platform for machine learning.
What is the severity of CVE-2023-25662?
The severity of CVE-2023-25662 is high.
Which versions of TensorFlow are affected by CVE-2023-25662?
Versions prior to 2.12.0 and 2.11.1 are affected by CVE-2023-25662.
How do I fix CVE-2023-25662 in TensorFlow?
You can fix CVE-2023-25662 by updating TensorFlow to version 2.12.0 or version 2.11.1.
- collector/nvd-index
- agent/references
- agent/type
- agent/remedy
- agent/softwarecombine
- collector/mitre-cve
- source/MITRE
- agent/weakness
- agent/last-modified-date
- agent/severity
- agent/author
- agent/title
- agent/tags
- agent/description
- agent/first-publish-date
- agent/event
- vendor/google
- canonical/google tensorflow