FKIE_CVE-2014-7191
Vulnerability from fkie_nvd - Published: 2014-10-19 01:55 - Updated: 2026-06-17 00:14
Severity
Summary
The qs module before 1.0.0 in Node.js does not call the compact function for array data, which allows remote attackers to cause a denial of service (memory consumption) by using a large index value to create a sparse array.
References
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
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"nodes": [
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"cpeMatch": [
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"criteria": "cpe:2.3:a:nodejs:node.js:*:*:*:*:*:*:*:*",
"matchCriteriaId": "9CFFC8BD-393F-4B11-8702-345FC2059A87",
"versionEndIncluding": "0.10.18",
"vulnerable": true
}
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"operator": "OR"
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The qs module before 1.0.0 in Node.js does not call the compact function for array data, which allows remote attackers to cause a denial of service (memory consumption) by using a large index value to create a sparse array."
},
{
"lang": "es",
"value": "El m\u00f3dulo qs anterior a 1.0.0 en Node.js no llama a la funci\u00f3n \u0027compact\u0027 en la matriz de datos, lo que permite a atacantes remotos causar una denegaci\u00f3n de servicio (consumo de memoria) usando un valor largo del index para crear una matriz dispersa."
}
],
"id": "CVE-2014-7191",
"lastModified": "2026-06-17T00:14:32.267",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2014-10-19T01:55:21.560",
"references": [
{
"source": "cve@mitre.org",
"url": "http://secunia.com/advisories/60026"
},
{
"source": "cve@mitre.org",
"url": "http://secunia.com/advisories/62170"
},
{
"source": "cve@mitre.org",
"url": "http://www-01.ibm.com/support/docview.wss?uid=swg21685987"
},
{
"source": "cve@mitre.org",
"url": "http://www-01.ibm.com/support/docview.wss?uid=swg21687263"
},
{
"source": "cve@mitre.org",
"url": "http://www-01.ibm.com/support/docview.wss?uid=swg21687928"
},
{
"source": "cve@mitre.org",
"url": "https://access.redhat.com/errata/RHSA-2016:1380"
},
{
"source": "cve@mitre.org",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/96729"
},
{
"source": "cve@mitre.org",
"tags": [
"Patch"
],
"url": "https://github.com/raymondfeng/node-querystring/commit/43a604b7847e56bba49d0ce3e222fe89569354d8"
},
{
"source": "cve@mitre.org",
"url": "https://github.com/visionmedia/node-querystring/issues/104"
},
{
"source": "cve@mitre.org",
"url": "https://nodesecurity.io/advisories/qs_dos_memory_exhaustion"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://secunia.com/advisories/60026"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://secunia.com/advisories/62170"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www-01.ibm.com/support/docview.wss?uid=swg21685987"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www-01.ibm.com/support/docview.wss?uid=swg21687263"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www-01.ibm.com/support/docview.wss?uid=swg21687928"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://access.redhat.com/errata/RHSA-2016:1380"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/96729"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch"
],
"url": "https://github.com/raymondfeng/node-querystring/commit/43a604b7847e56bba49d0ce3e222fe89569354d8"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://github.com/visionmedia/node-querystring/issues/104"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://nodesecurity.io/advisories/qs_dos_memory_exhaustion"
}
],
"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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