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CVE-2021-29600: Division by zero in TFLite's implementation of `OneHot`

May 21, 2021 (updated November 13, 2024)

The implementation of the OneHot TFLite operator is vulnerable to a division by zero error:

int prefix_dim_size = 1;
for (int i = 0; i < op_context.axis; ++i) {
prefix_dim_size *= op_context.indices->dims->data[i];
}
const int suffix_dim_size = NumElements(op_context.indices) / prefix_dim_size;

An attacker can craft a model such that at least one of the dimensions of indices would be 0. In turn, the prefix_dim_size value would become 0.

References

  • github.com/advisories/GHSA-j8qh-3xrq-c825
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-528.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-726.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-237.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/blob/f61c57bd425878be108ec787f4d96390579fb83e/tensorflow/lite/kernels/one_hot.cc
  • github.com/tensorflow/tensorflow/commit/3ebedd7e345453d68e279cfc3e4072648e5e12e5
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-j8qh-3xrq-c825
  • nvd.nist.gov/vuln/detail/CVE-2021-29600

Code Behaviors & Features

Detect and mitigate CVE-2021-29600 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 7.8 HIGH

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

Learn more about CVSS

Weakness

  • CWE-369: Divide By Zero

Source file

pypi/tensorflow-cpu/CVE-2021-29600.yml

Spotted a mistake? Edit the file on GitLab.

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