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CVE-2021-41213: Deadlock in mutually recursive `tf.function` objects

November 10, 2021 (updated November 7, 2024)

The code behind tf.function API can be made to deadlock when two tf.function decorated Python functions are mutually recursive:

import tensorflow as tf

@tf.function()
def fun1(num):
if num == 1:
return
print(num)
fun2(num-1)

@tf.function()
def fun2(num):
if num == 0:
return
print(num)
fun1(num-1)

fun1(9)

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.

References

  • github.com/advisories/GHSA-h67m-xg8f-fxcf
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-622.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-820.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-405.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/commit/afac8158d43691661ad083f6dd9e56f327c1dcb7
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-h67m-xg8f-fxcf
  • nvd.nist.gov/vuln/detail/CVE-2021-41213

Code Behaviors & Features

Detect and mitigate CVE-2021-41213 with GitLab Dependency Scanning

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Affected versions

All versions before 2.4.4, all versions starting from 2.5.0 before 2.5.2, all versions starting from 2.6.0 before 2.6.1

Fixed versions

  • 2.6.1
  • 2.5.2
  • 2.4.4

Solution

Upgrade to versions 2.4.4, 2.5.2, 2.6.1 or above.

Impact 5.5 MEDIUM

CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

Learn more about CVSS

Weakness

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

Source file

pypi/tensorflow/CVE-2021-41213.yml

Spotted a mistake? Edit the file on GitLab.

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