CVE-2022-29212 (GCVE-0-2022-29212)

Vulnerability from cvelistv5 – Published: 2022-05-20 23:15 – Updated: 2025-04-22 17:57
VLAI?
Title
Core dump when loading TFLite models with quantization 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, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling `QuantizeMultiplierSmallerThanOneExp`, the `TFLITE_CHECK_LT` assertion would trigger and abort the process. 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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Show details on NVD website

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}


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Sightings

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  • 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.
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  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
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