FKIE_CVE-2014-0749
Vulnerability from fkie_nvd - Published: 2014-05-16 14:55 - Updated: 2026-06-17 00:03
Severity
Summary
Stack-based buffer overflow in lib/Libdis/disrsi_.c in Terascale Open-Source Resource and Queue Manager (aka TORQUE Resource Manager) 2.5.x through 2.5.13 allows remote attackers to execute arbitrary code via a large count value.
References
Impacted products
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"source": "cve@mitre.org"
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"cveTags": [],
"descriptions": [
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"value": "Stack-based buffer overflow in lib/Libdis/disrsi_.c in Terascale Open-Source Resource and Queue Manager (aka TORQUE Resource Manager) 2.5.x through 2.5.13 allows remote attackers to execute arbitrary code via a large count value."
},
{
"lang": "es",
"value": "Desbordamiento de buffer basado en pila en lib/Libdis/disrsi_.c en Terascale Open-Source Resource And Queue Manager (tambi\u00e9n conocido como TORQUE Resource Manager) 2.5.x hasta 2.5.13 permite a atacantes remotos ejecutar c\u00f3digo arbitrario a trav\u00e9s de un valor de contador grande."
}
],
"id": "CVE-2014-0749",
"lastModified": "2026-06-17T00:03:34.110",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 10.0,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:N/AC:L/Au:N/C:C/I:C/A:C",
"version": "2.0"
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"exploitabilityScore": 10.0,
"impactScore": 10.0,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
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"source": "nvd@nist.gov",
"type": "Primary",
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"published": "2014-05-16T14:55:05.547",
"references": [
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"source": "cve@mitre.org",
"url": "http://osvdb.org/show/osvdb/107024"
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"url": "http://packetstormsecurity.com/files/126651/Torque-2.5.13-Buffer-Overflow.html"
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"value": "CWE-119"
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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.
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- 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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