CVE-2014-6385 (GCVE-0-2014-6385)
Vulnerability from cvelistv5 – Published: 2015-01-16 16:00 – Updated: 2024-08-06 12:17
VLAI
EPSS
VEX
Summary
Juniper Junos 11.4 before 11.4R13, 12.1X44 before 12.1X44-D45, 12.1X46 before 12.1X46-D30, 12.1X47 before 12.1X47-D15, 12.2 before 12.2R9, 12.3R7 before 12.3R7-S1, 12.3 before 12.3R8, 13.1 before 13.1R5, 13.2 before 13.2R6, 13.3 before 13.3R4, 14.1 before 14.1R2, and 14.2 before 14.2R1 allows remote attackers to cause a denial of service (kernel crash and restart) via a crafted fragmented OSPFv3 packet with an IPsec Authentication Header (AH).
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
2 references
| URL | Tags |
|---|---|
| http://www.securityfocus.com/bid/72072 | vdb-entryx_refsource_BID |
| https://kb.juniper.net/InfoCenter/index?page=cont… | x_refsource_CONFIRM |
Date Public
2015-01-14 00:00
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Juniper Junos 11.4 before 11.4R13, 12.1X44 before 12.1X44-D45, 12.1X46 before 12.1X46-D30, 12.1X47 before 12.1X47-D15, 12.2 before 12.2R9, 12.3R7 before 12.3R7-S1, 12.3 before 12.3R8, 13.1 before 13.1R5, 13.2 before 13.2R6, 13.3 before 13.3R4, 14.1 before 14.1R2, and 14.2 before 14.2R1 allows remote attackers to cause a denial of service (kernel crash and restart) via a crafted fragmented OSPFv3 packet with an IPsec Authentication Header (AH)."
},
{
"lang": "es",
"value": "Juniper Junos 11.4 anterior a 11.4R13, 12.1X44 anterior a 12.1X44-D45, 12.1X46 anterior a 12.1X46-D30, 12.1X47 anterior a 12.1X47-D15, 12.2 anterior a 12.2R9, 12.3R7 anterior a 12.3R7-S1, 12.3 anterior a 12.3R8, 13.1 anterior a 13.1R5, 13.2 anterior a 13.2R6, 13.3 anterior a 13.3R4, 14.1 anterior a 14.1R2, y 14.2 anterior a 14.2R1 permite a atacantes remotos causar una denegaci\u00f3n de servicio (ca\u00edda del kernel y reinicio) a trav\u00e9s de un paquete OSPFv3 fragmentado manipulado con una cabecera de autenticaci\u00f3n IPsec."
}
],
"id": "CVE-2014-6385",
"lastModified": "2026-05-06T22:30:45.220",
"metrics": {
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],
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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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