CVE-2021-41213

CVSS v3 Score
5.5
Medium
CVSS v2 Score
4.3
Medium

Vulnerability 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.

CVSS:5.5(Medium)

Concurrent Versions Software (CVS) uses predictable temporary file names for locking, which allows local users to cause a denial of service by creating the lock directory before it is created for use ...

CVSS:5.5(Medium)

qpopper POP server creates lock files with predictable names, which allows local users to cause a denial of service for other users (lack of mail access) by creating lock files for other mail boxes.

CVSS:5.5(Medium)

ZoneAlarm and ZoneAlarm Pro allows a local attacker to cause a denial of service by running a trojan to initialize a ZoneAlarm mutex object which prevents ZoneAlarm from starting.

CVSS:5.5(Medium)

dump 0.4 b10 through b29 allows local users to cause a denial of service (execution prevention) by using flock() to lock the /etc/dumpdates file.

CVSS:5.5(Medium)

tip on multiple BSD-based operating systems allows local users to cause a denial of service (execution prevention) by using flock() to lock the /var/log/acculog file.

CVSS:5.5(Medium)

Array index overflow in the xfrm_sk_policy_insert function in xfrm_user.c in Linux kernel 2.6 allows local users to cause a denial of service (oops or deadlock) and possibly execute arbitrary code via...