FKIE_CVE-2020-11765
Vulnerability from fkie_nvd - Published: 2020-04-14 23:15 - Updated: 2026-06-17 02:50
Severity
Summary
An issue was discovered in OpenEXR before 2.4.1. There is an off-by-one error in use of the ImfXdr.h read function by DwaCompressor::Classifier::Classifier, leading to an out-of-bounds read.
References
Impacted products
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"value": "An issue was discovered in OpenEXR before 2.4.1. There is an off-by-one error in use of the ImfXdr.h read function by DwaCompressor::Classifier::Classifier, leading to an out-of-bounds read."
},
{
"lang": "es",
"value": "Se detect\u00f3 un problema en OpenEXR versiones anteriores a 2.4.1. Se presenta un error por un paso en el uso de la funci\u00f3n de lectura del archivo ImfXdr.h por DwaCompressor::Classifier::Classifier, conllevando a una lectura fuera de l\u00edmites."
}
],
"id": "CVE-2020-11765",
"lastModified": "2026-06-17T02:50:45.253",
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"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:P",
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}
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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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