CVE-2015-6175 (GCVE-0-2015-6175)
Vulnerability from cvelistv5 – Published: 2015-12-09 11:00 – Updated: 2025-10-21 23:55Summary
The kernel in Microsoft Windows 10 Gold allows local users to gain privileges via a crafted application, aka "Windows Kernel Memory Elevation of Privilege Vulnerability."
Severity
7.8 (High)
SSVC
Exploitation: active
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-10 17:16 UTC
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://docs.microsoft.com/en-us/security-updates… | vendor-advisoryx_refsource_MS |
| http://www.securitytracker.com/id/1034334 | vdb-entryx_refsource_SECTRACK |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Date Public
2015-12-08 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: bff49f04-b8fd-4bcb-b5f3-6a874c60c126
Exploited: Yes
Timestamps
First Seen: 2022-05-25
Asserted: 2022-05-25
Scope
Notes: KEV entry: Microsoft Windows Kernel Privilege Escalation Vulnerability | Affected: Microsoft / Windows | Description: The kernel in Microsoft Windows contains a vulnerability that allows local users to gain privileges via a crafted application. | Required action: Apply updates per vendor instructions. | Due date: 2022-06-15 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://nvd.nist.gov/vuln/detail/CVE-2015-6175
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-264 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Windows |
| Due Date | 2022-06-15 |
| Date Added | 2022-05-25 |
| Vendorproject | Microsoft |
| Vulnerabilityname | Microsoft Windows Kernel Privilege Escalation Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-02-02 12:27 UTC
| Updated: 2026-02-06 07:17 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 0ff8e9cc-382c-4142-80a8-0c37d970b9d0
Exploited: Yes
Timestamps
First Seen: 2022-05-25
Asserted: 2022-05-25
Scope
Notes: KEVIntel entry: The kernel in Microsoft Windows 10 Gold allows local users to gain privileges via a crafted application, aka "Windows Kernel Memory Elevation of... | Affected: Microsoft / Windows 10 | CVSS: 7.8 (HIGH) | Used in malware: unknown | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | The kernel in Microsoft Windows 10 Gold allows local users to gain privileges via a crafted application, aka "Windows Kernel Memory Elevation of... |
| Vendor | Microsoft |
| Product | Windows 10 |
| Added Date | 2022-05-25T00:00:00.000Z |
| Cvss Score | 7.8 |
| Epss Score | None |
| Cvss Severity | HIGH |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-06-23 14:05 UTC
| Updated: 2026-07-10 06:14 UTC
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{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
{
"version_value": "n/a"
}
]
}
}
]
},
"vendor_name": "n/a"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "The kernel in Microsoft Windows 10 Gold allows local users to gain privileges via a crafted application, aka \"Windows Kernel Memory Elevation of Privilege Vulnerability.\""
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "n/a"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "MS15-135",
"refsource": "MS",
"url": "https://docs.microsoft.com/en-us/security-updates/securitybulletins/2015/ms15-135"
},
{
"name": "1034334",
"refsource": "SECTRACK",
"url": "http://www.securitytracker.com/id/1034334"
}
]
}
}
}
},
"cveMetadata": {
"assignerOrgId": "f38d906d-7342-40ea-92c1-6c4a2c6478c8",
"assignerShortName": "microsoft",
"cveId": "CVE-2015-6175",
"datePublished": "2015-12-09T11:00:00.000Z",
"dateReserved": "2015-08-14T00:00:00.000Z",
"dateUpdated": "2025-10-21T23:55:56.760Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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