CVE-2018-8634 (GCVE-0-2018-8634)
Vulnerability from cvelistv5 – Published: 2018-12-12 00:00 – Updated: 2024-08-05 07:02
VLAI
EPSS
VEX
Summary
A remote code execution vulnerability exists in Windows where Microsoft text-to-speech fails to properly handle objects in the memory, aka "Microsoft Text-To-Speech Remote Code Execution Vulnerability." This affects Windows Server 2016, Windows 10, Windows Server 2019, Windows 10 Servers.
Severity
8.8 (High)
CWE
- Remote Code Execution
Assigner
References
2 references
| URL | Tags |
|---|---|
| http://www.securityfocus.com/bid/106078 | vdb-entryx_refsource_BID |
| https://portal.msrc.microsoft.com/en-US/security-… | x_refsource_CONFIRM |
Impacted products
4 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 ARM64-based Systems Affected: Version 1709 for x64-based Systems Affected: Version 1803 for 32-bit Systems Affected: Version 1803 for ARM64-based Systems Affected: Version 1803 for x64-based Systems Affected: Version 1809 for 32-bit Systems Affected: Version 1809 for ARM64-based Systems Affected: Version 1809 for x64-based Systems Affected: x64-based Systems |
guessed | |
| Microsoft | Windows Server 2019 |
Affected:
(Server Core installation)
|
guessed | |
| Microsoft | Windows 10 Servers |
Affected:
version 1709 (Server Core Installation)
Affected: version 1803 (Server Core Installation) |
guessed |
Date Public
2018-12-11 00:00
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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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