Vulnerability in Google Tensorflow
CVE-2022-23563
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.
Vulnerability class: TOCTOU (Time-of-Check to Time-of-Use)
EPSS: 0.001 (1.5th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 7.1 (High). Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N.
Affected products
- Google Tensorflow — versions 2.7.0
- Tensorflow — versions >= 2.7.0, < 2.7.1, >= 2.6.0, < 2.6.3, < 2.5.3
Weakness classification (CWE)
References
- security-advisories@github.com (x_refsource_CONFIRM, Third Party Advisory)
Frequently asked questions
- What is CVE-2022-23563?
- CVE-2022-23563 is a high-severity vulnerability in Google Tensorflow, classified under Time-of-check Time-of-use (TOCTOU) Race Condition. CVSS score: 7.1/10. Published 2022-02-04.
- How severe is CVE-2022-23563?
- High severity. CVSS v3 base score is 7.1 out of 10.