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CVE-2021-29601: Integer overflow in TFLite concatentation

May 21, 2021 (updated November 13, 2024)

The TFLite implementation of concatenation is vulnerable to an integer overflow issue:

for (int d = 0; d < t0->dims->size; ++d) {
if (d == axis) {
sum_axis += t->dims->data[axis];
} else {
TF_LITE_ENSURE_EQ(context, t->dims->data[d], t0->dims->data[d]);
}
}

An attacker can craft a model such that the dimensions of one of the concatenation input overflow the values of int. TFLite uses int to represent tensor dimensions, whereas TF uses int64. Hence, valid TF models can trigger an integer overflow when converted to TFLite format.

References

  • github.com/advisories/GHSA-9c84-4hx6-xmm4
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-529.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-727.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-238.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/blob/7b7352a724b690b11bfaae2cd54bc3907daf6285/tensorflow/lite/kernels/concatenation.cc
  • github.com/tensorflow/tensorflow/commit/4253f96a58486ffe84b61c0415bb234a4632ee73
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-9c84-4hx6-xmm4
  • nvd.nist.gov/vuln/detail/CVE-2021-29601

Code Behaviors & Features

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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 7.1 HIGH

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

Learn more about CVSS

Weakness

  • CWE-190: Integer Overflow or Wraparound

Source file

pypi/tensorflow-cpu/CVE-2021-29601.yml

Spotted a mistake? Edit the file on GitLab.

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