CVE-2017-13990 (GCVE-0-2017-13990)
Vulnerability from cvelistv5 – Published: 2017-09-29 14:00 – Updated: 2024-08-05 19:13
VLAI
EPSS
VEX
Summary
An information leakage vulnerability in ArcSight ESM and ArcSight ESM Express, any 6.x version prior to 6.9.1c Patch 4 or 6.11.0 Patch 1, allows disclosure of Apache Tomcat application server version.
Severity
5.3 (Medium)
CWE
- n/a
Assigner
microfocus
CNA
References
2 references
| URL | Tags |
|---|---|
| https://softwaresupport.hpe.com/km/KM02944672 | x_refsource_CONFIRM |
| http://www.securityfocus.com/bid/100935 | vdb-entryx_refsource_BID |
Date Public
2017-09-20 00:00
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "An information leakage vulnerability in ArcSight ESM and ArcSight ESM Express, any 6.x version prior to 6.9.1c Patch 4 or 6.11.0 Patch 1, allows disclosure of Apache Tomcat application server version."
},
{
"lang": "es",
"value": "Una vulnerabilidad de filtrado de informaci\u00f3n en ArcSight ESM y ArcSight ESM Express en cualquier versi\u00f3n 6.x anterior a la 6.9.1c Patch 4 o 6.11.0 Patch 1 permite la revelaci\u00f3n de la versi\u00f3n del servidor de la aplicaci\u00f3n Apache Tomcat."
}
],
"id": "CVE-2017-13990",
"lastModified": "2026-05-13T00:24:29.033",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 1.4,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2017-09-30T01:29:01.350",
"references": [
{
"source": "security@opentext.com",
"url": "http://www.securityfocus.com/bid/100935"
},
{
"source": "security@opentext.com",
"url": "https://softwaresupport.hpe.com/km/KM02944672"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.securityfocus.com/bid/100935"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://softwaresupport.hpe.com/km/KM02944672"
}
],
"sourceIdentifier": "security@opentext.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-200"
}
],
"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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