CVE-2020-15194: Denial of Service in Tensorflow

CVE-2020-15194 · Severity: low · CVSS 3.1 · Published 2020-09-25

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1."

Technologies: tensorflow (PyPI), tensorflow-cpu (PyPI), tensorflow-gpu (PyPI). Vendors: PyPI.

Quick answers

Is CVE-2020-15194 exploited in the wild?
No. Junglewise Threat Intelligence has no report of CVE-2020-15194 being exploited in the wild.
How severe is CVE-2020-15194?
Low severity, with a CVSS score of 3.1, published 25 September 2020.
Which products and versions are affected?
tensorflow (PyPI) ECOSYSTEM:introduced=0,fixed=1.15.4, GIT:introduced=0,fixed=390611e0d45c5793c7066110af37c8514e6a6c54|ECOSYSTEM:introduced=0,fixed=1.15.4,introduced=2.0.0,fixed=2.0.3,introduced=2.1.0,fixed=2.1.2,introduced=2.2.0,fixed=2.2.1,introduced=2.3.0,fixed=2.3.1; tensorflow-cpu (PyPI) ECOSYSTEM:introduced=0,fixed=1.15.4, GIT:introduced=0,fixed=390611e0d45c5793c7066110af37c8514e6a6c54|ECOSYSTEM:introduced=0,fixed=1.15.4,introduced=2.0.0,fixed=2.0.3,introduced=2.1.0,fixed=2.1.2,introduced=2.2.0,fixed=2.2.1,introduced=2.3.0,fixed=2.3.1; tensorflow-gpu (PyPI) ECOSYSTEM:introduced=0,fixed=1.15.4, GIT:introduced=0,fixed=390611e0d45c5793c7066110af37c8514e6a6c54|ECOSYSTEM:introduced=0,fixed=1.15.4,introduced=2.0.0,fixed=2.0.3,introduced=2.1.0,fixed=2.1.2,introduced=2.2.0,fixed=2.2.1,introduced=2.3.0,fixed=2.3.1.
Is there a fix for CVE-2020-15194?
Yes. tensorflow (PyPI): upgrade to 1.15.4, 2.3.1 or later; tensorflow-cpu (PyPI): upgrade to 1.15.4, 2.3.1 or later; tensorflow-gpu (PyPI): upgrade to 1.15.4, 2.3.1 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.
Am I affected by CVE-2020-15194?
Check whether you run tensorflow (PyPI), tensorflow-cpu (PyPI) or tensorflow-gpu (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

How to fix

  • tensorflow (PyPI): upgrade to 1.15.4, 2.3.1 or later
    pip install "tensorflow>=2.3.1"
  • tensorflow-cpu (PyPI): upgrade to 1.15.4, 2.3.1 or later
    pip install "tensorflow-cpu>=2.3.1"
  • tensorflow-gpu (PyPI): upgrade to 1.15.4, 2.3.1 or later
    pip install "tensorflow-gpu>=2.3.1"

Affected products

  • tensorflow (PyPI) ECOSYSTEM:introduced=0,fixed=1.15.4, GIT:introduced=0,fixed=390611e0d45c5793c7066110af37c8514e6a6c54|ECOSYSTEM:introduced=0,fixed=1.15.4,introduced=2.0.0,fixed=2.0.3,introduced=2.1.0,fixed=2.1.2,introduced=2.2.0,fixed=2.2.1,introduced=2.3.0,fixed=2.3.1
  • tensorflow-cpu (PyPI) ECOSYSTEM:introduced=0,fixed=1.15.4, GIT:introduced=0,fixed=390611e0d45c5793c7066110af37c8514e6a6c54|ECOSYSTEM:introduced=0,fixed=1.15.4,introduced=2.0.0,fixed=2.0.3,introduced=2.1.0,fixed=2.1.2,introduced=2.2.0,fixed=2.2.1,introduced=2.3.0,fixed=2.3.1
  • tensorflow-gpu (PyPI) ECOSYSTEM:introduced=0,fixed=1.15.4, GIT:introduced=0,fixed=390611e0d45c5793c7066110af37c8514e6a6c54|ECOSYSTEM:introduced=0,fixed=1.15.4,introduced=2.0.0,fixed=2.0.3,introduced=2.1.0,fixed=2.1.2,introduced=2.2.0,fixed=2.2.1,introduced=2.3.0,fixed=2.3.1

Identifiers

  • CVE-2020-15194
  • GHSA-9mqp-7v2h-2382
  • PYSEC-2020-117
  • PYSEC-2020-274
  • PYSEC-2020-309

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