FKIE_CVE-2020-15503
Vulnerability from fkie_nvd - Published: 2020-07-02 14:15 - Updated: 2026-06-17 02:56
Severity
Summary
LibRaw before 0.20-RC1 lacks a thumbnail size range check. This affects decoders/unpack_thumb.cpp, postprocessing/mem_image.cpp, and utils/thumb_utils.cpp. For example, malloc(sizeof(libraw_processed_image_t)+T.tlength) occurs without validating T.tlength.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| libraw | libraw | * | |
| libraw | libraw | 0.20 | |
| libraw | libraw | 0.20 | |
| libraw | libraw | 0.20 | |
| fedoraproject | fedora | 31 | |
| fedoraproject | fedora | 32 | |
| debian | debian_linux | 10.0 |
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"value": "LibRaw before 0.20-RC1 lacks a thumbnail size range check. This affects decoders/unpack_thumb.cpp, postprocessing/mem_image.cpp, and utils/thumb_utils.cpp. For example, malloc(sizeof(libraw_processed_image_t)+T.tlength) occurs without validating T.tlength."
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"value": "LibRaw versiones anteriores a 0.20-RC1, carece de una comprobaci\u00f3n de rango de tama\u00f1o de miniaturas. Esto afecta a los archivos decoders/unpack_thumb.cpp, postprocessing/mem_image.cpp, y utils/thumb_utils.cpp. Por ejemplo, malloc(sizeof(libraw_processed_image_t)+T.tlength) ocurre sin comprobar T.tlength"
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"id": "CVE-2020-15503",
"lastModified": "2026-06-17T02:56:45.237",
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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