CVE-2018-8406 (GCVE-0-2018-8406)
Vulnerability from cvelistv5 – Published: 2018-08-15 17:00 – Updated: 2025-10-21 23:45Summary
An elevation of privilege vulnerability exists when the DirectX Graphics Kernel (DXGKRNL) driver improperly handles objects in memory, aka "DirectX Graphics Kernel Elevation of Privilege Vulnerability." This affects Windows Server 2016, Windows 10, Windows 10 Servers. This CVE ID is unique from CVE-2018-8400, CVE-2018-8401, CVE-2018-8405.
Severity
7.8 (High)
SSVC
Exploitation: active
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-07 16:25 UTC
CWE
- Elevation of Privilege
- CWE-404 - Improper Resource Shutdown or Release
Assigner
References
4 references
| URL | Tags |
|---|---|
| http://www.securityfocus.com/bid/105012 | vdb-entryx_refsource_BID |
| http://www.securitytracker.com/id/1041461 | vdb-entryx_refsource_SECTRACK |
| https://portal.msrc.microsoft.com/en-US/security-… | x_refsource_CONFIRM |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Impacted products
3 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Microsoft | Windows Server 2016 |
Affected:
(Server Core installation)
|
guessed | |
| Microsoft | Windows 10 |
Affected:
32-bit Systems
Affected: Version 1607 for 32-bit Systems Affected: Version 1607 for x64-based Systems Affected: Version 1703 for 32-bit Systems Affected: Version 1703 for x64-based Systems Affected: Version 1709 for 32-bit Systems Affected: Version 1709 for x64-based Systems Affected: Version 1803 for 32-bit Systems Affected: Version 1803 for x64-based Systems Affected: x64-based Systems |
guessed | |
| Microsoft | Windows 10 Servers |
Affected:
version 1709 (Server Core Installation)
Affected: version 1803 (Server Core Installation) |
guessed |
Date Public
2018-08-14 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 3327a3b9-28af-4d73-8112-f1866a1ca7e1
Exploited: Yes
Timestamps
First Seen: 2022-03-28
Asserted: 2022-03-28
Scope
Notes: KEV entry: Microsoft DirectX Graphics Kernel Privilege Escalation Vulnerability | Affected: Microsoft / DirectX Graphics Kernel (DXGKRNL) | Description: An elevation of privilege vulnerability exists when the DirectX Graphics Kernel (DXGKRNL) driver improperly handles objects in memory. | Required action: Apply updates per vendor instructions. | Due date: 2022-04-18 | Known ransomware campaign use (KEV): Known | Notes (KEV): https://nvd.nist.gov/vuln/detail/CVE-2018-8406
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-404 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | DirectX Graphics Kernel (DXGKRNL) |
| Due Date | 2022-04-18 |
| Date Added | 2022-03-28 |
| Vendorproject | Microsoft |
| Vulnerabilityname | Microsoft DirectX Graphics Kernel Privilege Escalation Vulnerability |
| Knownransomwarecampaignuse | Known |
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: e10b89cb-96c3-4d86-908f-e8f50aa0c159
Exploited: Yes
Timestamps
First Seen: 2022-03-28
Asserted: 2022-03-28
Scope
Notes: KEVIntel entry: An elevation of privilege vulnerability exists when the DirectX Graphics Kernel (DXGKRNL) driver improperly handles objects in memory, aka "DirectX... | Affected: Microsoft / Windows Server 2016, Windows 10, Windows 10 Servers | CVSS: 7.8 (HIGH) | Used in malware: yes | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Confirmed Compromise
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | An elevation of privilege vulnerability exists when the DirectX Graphics Kernel (DXGKRNL) driver improperly handles objects in memory, aka "DirectX... |
| Vendor | Microsoft |
| Product | Windows Server 2016, Windows 10, Windows 10 Servers |
| Added Date | 2022-03-28T00:00:00.000Z |
| Cvss Score | 7.8 |
| Epss Score | None |
| Cvss Severity | HIGH |
| Epss Percentile | None |
| Used In Malware | yes |
| 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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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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