GSD-2020-1012
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
An elevation of privilege vulnerability exists in the way that the Wininit.dll handles objects in memory, aka 'WinINet API Elevation of Privilege Vulnerability'.
Aliases
Aliases
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"description": "An elevation of privilege vulnerability exists in the way that the Wininit.dll handles objects in memory, aka \u0027WinINet API Elevation of Privilege Vulnerability\u0027.",
"id": "GSD-2020-1012"
},
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"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"id": "GSD-2020-1012",
"modified": "2023-12-13T01:21:57.723376Z",
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"value": "\u003cp\u003eAn elevation of privilege vulnerability exists in the way that the Wininit.dll handles objects in memory. An attacker who successfully exploited the vulnerability could execute code with elevated permissions.\u003c/p\u003e\n\u003cp\u003eThere are multiple ways an attacker could exploit the vulnerability:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cp\u003eIn a web-based attack scenario, an attacker could host a specially crafted website that is designed to exploit this vulnerability and then convince a user to view the website. An attacker would have no way to force users to view the attacker-controlled content. Instead, an attacker would have to convince users to take action, typically by getting them to click a link in an email message or in an Instant Messenger message that takes users to the attacker\u0027s website, or by opening an attachment sent through email.\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\u003cp\u003eIn a file sharing attack scenario, an attacker could provide a specially crafted document file that is designed to exploit this vulnerability, and then convince a user to open the document file.\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eThe security update addresses the vulnerability by ensuring the Wininit.dll properly handles objects in memory.\u003c/p\u003e\n"
}
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"value": "Se presenta una vulnerabilidad de escalada de privilegios en la manera en que la biblioteca Wininit.dll maneja objetos en memoria, tambi\u00e9n se conoce como \"WinINet API Elevation of Privilege Vulnerability\""
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"lastModified": "2023-12-31T22:15:53.373",
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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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