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Thesis . 2024
License: CC BY
Data sources: Datacite
ZENODO
Thesis . 2024
License: CC BY
Data sources: Datacite
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Active Directory vulnerabilities, exploitations and detection.

Authors: Sakellariou, Apostolos;

Active Directory vulnerabilities, exploitations and detection.

Abstract

This thesis analyzes the security weaknesses in Active Directory, with a specific emphasis on advanced attack techniques that exploit the Kerberos authentication protocol. This research provides a comprehensive examination of several important cyber attacks, including Kerberoasting, Overpass-the-Hash, Silver Ticket, and Golden Ticket. The study focuses on explaining how each attack is done and the consequences of these attacks. Conducted in a controlled virtual lab, the experiments reveal how weak password policies, inadequate monitoring, and outdated encryption methods facilitate unauthorized access and privilege escalation. The results emphasize the necessity of implementing strong security mechanisms, thorough monitoring, and ongoing training to protect the active directory enviroment. Suggested measures to increase organizational security against new threats include the implementation of robust password policies, regular updates to user accounts, the utilization of advanced detection tools, and the implementation of active security approaches. Originally submitted in July 2024 as a BSc (Hons) Computer Networks & Security thesis at the University of Derby.

Related Organizations
Keywords

Golden Ticket attack, Silver Ticket attack, Attack Detection, Overpass-the-Hash attack, Kerberoasting, Active Directory, Kerberos authentication protocol

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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