An Empirical Assessment of Endpoint Detection and Response Systems against Advanced Persistent Threats Attack Vectors

Advanced persistent threats pose a significant challenge for blue teams as they apply various attacks over prolonged periods, impeding event correlation and their detection. In this work, we leverage various diverse attack scenarios to assess the efficacy of EDRs against detecting and preventing APT...

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Main Authors: George Karantzas, Constantinos Patsakis
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Journal of Cybersecurity and Privacy
Subjects:
Online Access:https://www.mdpi.com/2624-800X/1/3/21
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author George Karantzas
Constantinos Patsakis
author_facet George Karantzas
Constantinos Patsakis
author_sort George Karantzas
collection DOAJ
description Advanced persistent threats pose a significant challenge for blue teams as they apply various attacks over prolonged periods, impeding event correlation and their detection. In this work, we leverage various diverse attack scenarios to assess the efficacy of EDRs against detecting and preventing APTs. Our results indicate that there is still a lot of room for improvement as state-of-the-art EDRs fail to prevent and log the bulk of the attacks that are reported in this work. Additionally, we discuss methods to tamper with the telemetry providers of EDRs, allowing an adversary to perform a more stealth attack.
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spelling doaj.art-2fa54282158647228227036faa0ad84c2023-11-22T13:42:35ZengMDPI AGJournal of Cybersecurity and Privacy2624-800X2021-07-011338742110.3390/jcp1030021An Empirical Assessment of Endpoint Detection and Response Systems against Advanced Persistent Threats Attack VectorsGeorge Karantzas0Constantinos Patsakis1Department of Informatics, University of Piraeus, 80 Karaoli & Dimitriou Str., 18534 Piraeus, GreeceDepartment of Informatics, University of Piraeus, 80 Karaoli & Dimitriou Str., 18534 Piraeus, GreeceAdvanced persistent threats pose a significant challenge for blue teams as they apply various attacks over prolonged periods, impeding event correlation and their detection. In this work, we leverage various diverse attack scenarios to assess the efficacy of EDRs against detecting and preventing APTs. Our results indicate that there is still a lot of room for improvement as state-of-the-art EDRs fail to prevent and log the bulk of the attacks that are reported in this work. Additionally, we discuss methods to tamper with the telemetry providers of EDRs, allowing an adversary to perform a more stealth attack.https://www.mdpi.com/2624-800X/1/3/21advanced persistent threatsEDRmalwareevasion
spellingShingle George Karantzas
Constantinos Patsakis
An Empirical Assessment of Endpoint Detection and Response Systems against Advanced Persistent Threats Attack Vectors
Journal of Cybersecurity and Privacy
advanced persistent threats
EDR
malware
evasion
title An Empirical Assessment of Endpoint Detection and Response Systems against Advanced Persistent Threats Attack Vectors
title_full An Empirical Assessment of Endpoint Detection and Response Systems against Advanced Persistent Threats Attack Vectors
title_fullStr An Empirical Assessment of Endpoint Detection and Response Systems against Advanced Persistent Threats Attack Vectors
title_full_unstemmed An Empirical Assessment of Endpoint Detection and Response Systems against Advanced Persistent Threats Attack Vectors
title_short An Empirical Assessment of Endpoint Detection and Response Systems against Advanced Persistent Threats Attack Vectors
title_sort empirical assessment of endpoint detection and response systems against advanced persistent threats attack vectors
topic advanced persistent threats
EDR
malware
evasion
url https://www.mdpi.com/2624-800X/1/3/21
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