Vulnerability Description
Tensorflow is an Open Source Machine Learning Framework. In multiple places, TensorFlow uses `tempfile.mktemp` to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in `mktemp` and the actual creation of the file by a subsequent operation (a TOC/TOU type of weakness). In several instances, TensorFlow was supposed to actually create a temporary directory instead of a file. This logic bug is hidden away by the `mktemp` function usage. We have patched the issue in several commits, replacing `mktemp` with the safer `mkstemp`/`mkdtemp` functions, according to the usage pattern. Users are advised to upgrade as soon as possible.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | <= 2.5.2 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wc4g-r73w-x8mmThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wc4g-r73w-x8mmThird Party Advisory
FAQ
What is CVE-2022-23563?
CVE-2022-23563 is a vulnerability with a CVSS score of 7.1 (HIGH). Tensorflow is an Open Source Machine Learning Framework. In multiple places, TensorFlow uses `tempfile.mktemp` to create temporary files. While this is acceptable in testing, in utilities and librarie...
How severe is CVE-2022-23563?
CVE-2022-23563 has been rated HIGH with a CVSS base score of 7.1/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2022-23563?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.