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CVE-2021-37645: Integer overflow due to conversion to unsigned

August 25, 2021 (updated November 13, 2024)

The implementation of tf.raw_ops.QuantizeAndDequantizeV4Grad is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value.

import tensorflow as tf

tf.raw_ops.QuantizeAndDequantizeV4Grad(
gradients=[1.0,2.0],
input=[1.0,1.0],
input_min=[0.0],
input_max=[10.0],
axis=-100)

References

  • github.com/advisories/GHSA-9w2p-5mgw-p94c
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-558.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-756.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-267.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/commit/96f364a1ca3009f98980021c4b32be5fdcca33a1
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-9w2p-5mgw-p94c
  • nvd.nist.gov/vuln/detail/CVE-2021-37645

Code Behaviors & Features

Detect and mitigate CVE-2021-37645 with GitLab Dependency Scanning

Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Dependency Scanning using SBOM also detects vulnerabilities from proprietary advisories that this site does not include. Learn more about Dependency Scanning using SBOM →

Affected versions

All versions before 2.4.3, all versions starting from 2.5.0 before 2.5.1, version 2.5.0

Fixed versions

  • 2.4.3
  • 2.5.1

Solution

Upgrade to versions 2.4.3, 2.5.1 or above.

Impact 5.5 MEDIUM

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Learn more about CVSS

Weakness

  • CWE-681: Incorrect Conversion between Numeric Types

Source file

pypi/tensorflow/CVE-2021-37645.yml

Spotted a mistake? Edit the file on GitLab.

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