CVE-2021-41213
MEDIUMTensorFlow 2.4.0-2.4.3, 2.6.0 - Denial of Service via Mutually Recursive tf.function Deadlock
Title source: llmDescription
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.
References (2)
Core 2
Core References
Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h67m-xg8f-fxcf
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/afac8158d43691661ad083f6dd9e56f327c1dcb7
Scores
CVSS v3
5.5
EPSS
0.0024
EPSS Percentile
14.1%
Attack Vector
LOCAL
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Details
CWE
CWE-667
CWE-662
Status
published
Products (5)
google/tensorflow
2.7.0 rc0 (2 CPE variants)
google/tensorflow
2.4.0 - 2.4.4
pypi/tensorflow
2.6.0 - 2.6.1PyPI
pypi/tensorflow-cpu
2.6.0 - 2.6.1PyPI
pypi/tensorflow-gpu
2.6.0 - 2.6.1PyPI
Published
Nov 05, 2021
Tracked Since
Feb 18, 2026