Out-of-bounds Read Affecting tensorflow/tensorflow package, versions [,2.4.0)


Severity

Recommended
0.0
high
0
10

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

Threat Intelligence

Exploit Maturity
Proof of Concept
EPSS
0.23% (62nd percentile)

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  • Snyk IDSNYK-UNMANAGED-TENSORFLOWTENSORFLOW-2333405
  • published12 Jan 2022
  • disclosed21 Oct 2020
  • creditUnknown

Introduced: 21 Oct 2020

CVE-2020-15265  (opens in a new tab)
CWE-125  (opens in a new tab)

How to fix?

Upgrade tensorflow/tensorflow to version 2.4.0 or higher.

Overview

Affected versions of this package are vulnerable to Out-of-bounds Read. In Tensorflow before version 2.4.0, an attacker can pass an invalid axis value to tf.quantization.quantize_and_dequantize. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, DCHECK-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.

CVSS Scores

version 3.1