CVE-2022-29213 (GCVE-0-2022-29213)

Vulnerability from cvelistv5 – Published: 2022-05-20 23:30 – Updated: 2025-04-22 17:56
VLAI
Title
Incomplete validation in signal ops leads to crashes in TensorFlow
Summary
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the `tf.compat.v1.signal.rfft2d` and `tf.compat.v1.signal.rfft3d` lack input validation and under certain condition can result in crashes (due to `CHECK`-failures). Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CWE
  • CWE-20 - Improper Input Validation
Assigner
Impacted products
Vendor Product Version
tensorflow tensorflow Affected: < 2.6.4
Affected: >= 2.7.0rc0, < 2.7.2
Affected: >= 2.8.0rc0, < 2.8.1
Affected: >= 2.9.0rc0, < 2.9.0
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Detection rules are retrieved from Rulezet.

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