CVE-2021-41213
Summary
| CVE | CVE-2021-41213 |
| State | PUBLIC |
| Assigner | [email protected] |
| Source Priority | CVE Program / NVD first with legacy fallback |
| Published | 2021-11-05 23:15:00 UTC |
| Updated | 2022-10-20 21:25:00 UTC |
| Description | TensorFlow is an open source platform for machine learning. In affected versions the code behind `tf.function` API can be made to deadlock when two `tf.function` decorated Python functions are mutually recursive. This occurs due to using a non-reentrant `Lock` Python object. Loading any model which contains mutually recursive functions is vulnerable. An attacker can cause denial of service by causing users to load such models and calling a recursive `tf.function`, although this is not a frequent scenario. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. |
NVD Known Affected Configurations (CPE 2.3)
References
| Reference | Source | Link | Tags |
|---|
| Deadlock in mutually recursive `tf.function` objects · Advisory · tensorflow/tensorflow · GitHub |
CONFIRM |
github.com |
|
| Fix the deadlock issue of recursive tf.function. · tensorflow/tensorflow@afac815 · GitHub |
MISC |
github.com |
|
| CVE Program record |
CVE.ORG |
www.cve.org |
canonical |
| NVD vulnerability detail |
NVD |
nvd.nist.gov |
canonical, analysis |
No vendor comments have been submitted for this CVE.
Legacy QID Mappings
- 980178 Python (pip) Security Update for tensorflow-gpu (GHSA-h67m-xg8f-fxcf)