FKIE_CVE-2015-1305
Vulnerability from fkie_nvd - Published: 2015-02-06 15:59 - Updated: 2026-06-17 00:22
Severity
Summary
McAfee Data Loss Prevention Endpoint (DLPe) before 9.3.400 allows local users to write to arbitrary memory locations, and consequently gain privileges, via a crafted (1) 0x00224014 or (2) 0x0022c018 IOCTL call.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| mcafee | data_loss_prevention_endpoint | * | |
| microsoft | windows_xp | * |
{
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"source": "cve@mitre.org"
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"configurations": [
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"versionEndIncluding": "9.3.300",
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"cveTags": [],
"descriptions": [
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"lang": "en",
"value": "McAfee Data Loss Prevention Endpoint (DLPe) before 9.3.400 allows local users to write to arbitrary memory locations, and consequently gain privileges, via a crafted (1) 0x00224014 or (2) 0x0022c018 IOCTL call."
},
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"lang": "es",
"value": "McAfee Data Loss Prevention Endpoint (DLPe) anterior a 9.3.400 permite a usuarios locales escribir a localizaciones de memoria arbitrarias, y como consecuencia ganar privilegios, a trav\u00e9s de una llamada IOCTL (1) 0x00224014 o (2) 0x0022c018 manipulada."
}
],
"id": "CVE-2015-1305",
"lastModified": "2026-06-17T00:22:09.653",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 6.9,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:L/AC:M/Au:N/C:C/I:C/A:C",
"version": "2.0"
},
"exploitabilityScore": 3.4,
"impactScore": 10.0,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
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"published": "2015-02-06T15:59:12.540",
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"url": "http://www.exploit-db.com/exploits/35953"
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{
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"tags": [
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"url": "http://www.greyhathacker.net/?p=818"
},
{
"source": "cve@mitre.org",
"url": "http://www.osvdb.org/show/osvdb/117345"
},
{
"source": "cve@mitre.org",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/100602"
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"tags": [
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"url": "https://kc.mcafee.com/corporate/index?page=content\u0026id=SB10097"
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"url": "http://www.osvdb.org/show/osvdb/117345"
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"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/100602"
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"tags": [
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"url": "https://kc.mcafee.com/corporate/index?page=content\u0026id=SB10097"
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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"lang": "en",
"value": "CWE-264"
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"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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