CVEvulnerability

CVE-2021-41213

5.5 MEDIUM Published 2021-11-05 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2021-11-05
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
5.5 MEDIUM — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS 3.1 ([email protected])
5.5 MEDIUM — CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
CVSS 2.0 ([email protected])
4.3 MEDIUM — AV:N/AC:M/Au:N/C:N/I:N/A:P
Weaknesses
CWE-662, CWE-667

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.

Affected configurations

• google tensorflow (>= 2.4.0 < 2.4.4) • google tensorflow (>= 2.5.0 < 2.5.2) • google tensorflow (>= 2.6.0 < 2.6.1) • google tensorflow 2.7.0

Related

Weakness · CWE (2)

  • CWE-662 Improper Synchronization weakness
  • CWE-667 Improper Locking weakness

References