FKIE_CVE-2023-39947
Vulnerability from fkie_nvd - Published: 2023-08-11 14:15 - Updated: 2026-06-17 06:13
Severity
8.2 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:H
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.5 (High) - CVSS:3.1/
Summary
eprosima Fast DDS is a C++ implementation of the Data Distribution Service standard of the Object Management Group. Prior to versions 2.11.1, 2.10.2, 2.9.2, and 2.6.6, even after the fix at commit 3492270, malformed `PID_PROPERTY_LIST` parameters cause heap overflow at a different program counter. This can remotely crash any Fast-DDS process. Versions 2.11.1, 2.10.2, 2.9.2, and 2.6.6 contain a patch for this issue.
References
{
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},
{
"status": "affected",
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},
{
"status": "affected",
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},
{
"status": "affected",
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}
]
}
],
"source": "security-advisories@github.com"
}
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"value": "eprosima Fast DDS is a C++ implementation of the Data Distribution Service standard of the Object Management Group. Prior to versions 2.11.1, 2.10.2, 2.9.2, and 2.6.6, even after the fix at commit 3492270, malformed `PID_PROPERTY_LIST` parameters cause heap overflow at a different program counter. This can remotely crash any Fast-DDS process. Versions 2.11.1, 2.10.2, 2.9.2, and 2.6.6 contain a patch for this issue."
},
{
"lang": "es",
"value": "eprosima Fast DDS es una implementaci\u00f3n en C++ del est\u00e1ndar Data Distribution Service del Object Management Group. Antes de las versiones 2.11.1, 2.10.2, 2.9.2, y 2.6.6, incluso despu\u00e9s de la correcci\u00f3n en el commit 3492270, los par\u00e1metros malformados `PID_PROPERTY_LIST` causan desbordamiento de heap en un contador de programa diferente. Esto puede bloquear remotamente cualquier proceso Fast-DDS. Las versiones 2.11.1, 2.10.2, 2.9.2 y 2.6.6 contienen un parche para este problema.\n"
}
],
"id": "CVE-2023-39947",
"lastModified": "2026-06-17T06:13:00.430",
"metrics": {
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"timestamp": "2024-10-10T14:09:15.744600Z",
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"published": "2023-08-11T14:15:13.587",
"references": [
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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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