FKIE_CVE-2020-8112
Vulnerability from fkie_nvd - Published: 2020-01-28 18:15 - Updated: 2026-06-17 03:25
Severity
Summary
opj_t1_clbl_decode_processor in openjp2/t1.c in OpenJPEG 2.3.1 through 2020-01-28 has a heap-based buffer overflow in the qmfbid==1 case, a different issue than CVE-2020-6851.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| uclouvain | openjpeg | 2.3.1 | |
| debian | debian_linux | 8.0 |
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"value": "opj_t1_clbl_decode_processor in openjp2/t1.c in OpenJPEG 2.3.1 through 2020-01-28 has a heap-based buffer overflow in the qmfbid==1 case, a different issue than CVE-2020-6851."
},
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"value": "La funci\u00f3n opj_t1_clbl_decode_processor en el archivo openjp2/t1.c en OpenJPEG versi\u00f3n 2.3.1 hasta el 28-01-2020, presenta un desbordamiento del b\u00fafer en la regi\u00f3n heap de la memoria en el caso qmfbid==1, un problema diferente de CVE-2020-6851."
}
],
"id": "CVE-2020-8112",
"lastModified": "2026-06-17T03:25:52.897",
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"published": "2020-01-28T18:15:11.743",
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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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