PT-2021-23186 · Google · Tensorflow
Published
2021-11-05
·
Updated
2024-03-06
·
CVE-2021-41213
CVSS v3.1
5.5
Medium
| Vector | AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
Name of the Vulnerable Software and Affected Versions
TensorFlow versions prior to 2.7.0
TensorFlow versions 2.6.1 and earlier
TensorFlow versions 2.5.2 and earlier
TensorFlow versions 2.4.4 and earlier
Description
The code behind the
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.Recommendations
For versions prior to 2.7.0, update to TensorFlow 2.7.0 or later.
For versions 2.6.1 and earlier, update to TensorFlow 2.6.1 or later.
For versions 2.5.2 and earlier, update to TensorFlow 2.5.2 or later.
For versions 2.4.4 and earlier, update to TensorFlow 2.4.4 or later.
As a temporary workaround, consider avoiding the use of mutually recursive functions with the
tf.function API until a patch is available.Fix
Improper Locking
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Related Identifiers
Affected Products
Tensorflow