FKIE_CVE-2020-27844
Vulnerability from fkie_nvd - Published: 2021-01-05 18:15 - Updated: 2026-06-17 03:09
Severity
Summary
A flaw was found in openjpeg's src/lib/openjp2/t2.c in versions prior to 2.4.0. This flaw allows an attacker to provide crafted input to openjpeg during conversion and encoding, causing an out-of-bounds write. The highest threat from this vulnerability is to confidentiality, integrity, as well as system availability.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| uclouvain | openjpeg | * | |
| debian | debian_linux | 9.0 | |
| oracle | outside_in_technology | 8.5.5 |
{
"affected": [
{
"affectedData": [
{
"product": "openjpeg",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "openjpeg 2.4.0"
}
]
}
],
"source": "secalert@redhat.com"
}
],
"configurations": [
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A flaw was found in openjpeg\u0027s src/lib/openjp2/t2.c in versions prior to 2.4.0. This flaw allows an attacker to provide crafted input to openjpeg during conversion and encoding, causing an out-of-bounds write. The highest threat from this vulnerability is to confidentiality, integrity, as well as system availability."
},
{
"lang": "es",
"value": "Se encontr\u00f3 un fallo en el archivo src/lib/openjp2/t2.c de openjpeg en versiones anteriores a 2.4.0.\u0026#xa0;Este fallo permite a un atacante proporcionar una entrada dise\u00f1ada para openjpeg durante la conversi\u00f3n y codificaci\u00f3n, causando una escritura fuera de l\u00edmites.\u0026#xa0;La mayor amenaza de esta vulnerabilidad es la confidencialidad, la integridad as\u00ed como la disponibilidad del sistema"
}
],
"id": "CVE-2020-27844",
"lastModified": "2026-06-17T03:09:43.637",
"metrics": {
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"accessVector": "NETWORK",
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"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:C",
"version": "2.0"
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"impactScore": 8.5,
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"source": "nvd@nist.gov",
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"cvssMetricV31": [
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"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
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"published": "2021-01-05T18:15:14.147",
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"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
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"lang": "en",
"value": "CWE-20"
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],
"source": "secalert@redhat.com",
"type": "Secondary"
}
]
}
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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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