CVE-2016-1276 (GCVE-0-2016-1276)
Vulnerability from cvelistv5 – Published: 2016-08-05 15:00 – Updated: 2024-08-05 22:48
VLAI
EPSS
VEX
Summary
Juniper Junos OS before 12.1X46-D50, 12.1X47 before 12.1X47-D23, 12.3X48 before 12.3X48-D25, and 15.1X49 before 15.1X49-D40 on a High-End SRX-Series chassis system with one or more Application Layer Gateways (ALGs) enabled allow remote attackers to cause a denial of service (CPU consumption, fab link failure, or flip-flop failovers) via vectors related to in-transit traffic matching ALG rules.
Severity
5.9 (Medium)
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| http://www.securityfocus.com/bid/91764 | vdb-entryx_refsource_BID |
| http://www.securitytracker.com/id/1036305 | vdb-entryx_refsource_SECTRACK |
| http://kb.juniper.net/InfoCenter/index?page=conte… | x_refsource_CONFIRM |
Date Public
2016-07-13 00:00
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"exploitabilityScore": 2.2,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2016-08-05T15:59:04.177",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Mitigation",
"Vendor Advisory"
],
"url": "http://kb.juniper.net/InfoCenter/index?page=content\u0026id=JSA10751"
},
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/91764"
},
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securitytracker.com/id/1036305"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Mitigation",
"Vendor Advisory"
],
"url": "http://kb.juniper.net/InfoCenter/index?page=content\u0026id=JSA10751"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/91764"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securitytracker.com/id/1036305"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-399"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
}
}
}
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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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