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CVE-2020-15201: Heap buffer overflow in Tensorflow

September 25, 2020 (updated October 28, 2024)

The RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the splits tensor generate a valid partitioning of the values tensor. Hence, this code is prone to heap buffer overflow: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L248-L251

If split_values does not end with a value at least num_values then the while loop condition will trigger a read outside of the bounds of split_values once batch_idx grows too large.

References

  • github.com/advisories/GHSA-p5f8-gfw5-33w4
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-281.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-316.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-124.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02
  • github.com/tensorflow/tensorflow/releases/tag/v2.3.1
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-p5f8-gfw5-33w4
  • nvd.nist.gov/vuln/detail/CVE-2020-15201

Code Behaviors & Features

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Affected versions

All versions starting from 2.3.0 before 2.3.1, version 2.3.0

Fixed versions

  • 2.3.1

Solution

Upgrade to version 2.3.1 or above.

Impact 4.8 MEDIUM

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

Learn more about CVSS

Weakness

  • CWE-122: Heap-based Buffer Overflow
  • CWE-20: Improper Input Validation
  • CWE-787: Out-of-bounds Write

Source file

pypi/tensorflow-gpu/CVE-2020-15201.yml

Spotted a mistake? Edit the file on GitLab.

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