cve-2022-29212
Vulnerability from cvelistv5
Published
2022-05-20 23:15
Modified
2024-08-03 06:17
Severity ?
EPSS score ?
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.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| ▼ | tensorflow | tensorflow |
Version: < 2.6.4 Version: >= 2.7.0rc0, < 2.7.2 Version: >= 2.8.0rc0, < 2.8.1 Version: >= 2.9.0rc0, < 2.9.0 |
|
|
|||
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Sightings
| Author | Source | Type | Date |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.