Elasticsearch-Based Threat Hunting to Detect Privilege Escalation Using Registry Modification and Process Injection Attacks

Malicious actors often exploit persistence mechanisms, such as unauthorized modifications to Windows startup directories or registry keys, to achieve privilege escalation and maintain access on compromised systems. While information technology (IT) teams legitimately use these AutoStart Extension Points (ASEPs), adversaries frequently deploy malicious binaries with non-standard naming conventions or execute files from transient directories (e.g., Temp or Public folders). This study proposes a threat-hunting framework using a custom Elasticsearch Security Information and Event Management (SIEM) system to detect such persistence tactics. Two hypothesis-driven investigations were conducted: the first focused on identifying unauthorized ASEP registry key modifications during user logon events, while the second targeted malicious Dynamic Link Library (DLL) injections within temporary directories. By correlating Sysmon event logs (e.g., registry key creation/modification and process creation events), the researchers identified attack chains involving sequential registry edits and malicious file executions. Analysis confirmed that Sysmon Event ID 12 (registry object creation) and Event ID 7 (DLL loading) provided critical forensic evidence for detecting these tactics. The findings underscore the efficacy of real-time event correlation in SIEM systems in disrupting adversarial workflows, enabling rapid mitigation through the removal of malicious entries. This approach advances proactive defense strategies against privilege escalation and persistence, emphasizing the need for granular monitoring of registry and filesystem activities in enterprise environments.

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Publication Details

Journal
Future Internet
Published
2025-08-29
DOI
https://doi.org/10.3390/fi17090394
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
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article

Elasticsearch-Based Threat Hunting to Detect Privilege Escalation Using Registry Modification and Process Injection Attacks

Luxmi Sapra, Akashdeep Bhardwaj, Syed M Rahman
Future Internet
Smart Grid Security and Resilience
article

Elasticsearch-Based Threat Hunting to Detect Privilege Escalation Using Registry Modification and Process Injection Attacks

Luxmi Sapra, Akashdeep Bhardwaj, Syed M Rahman
article en

Abstract

Malicious actors often exploit persistence mechanisms, such as unauthorized modifications to Windows startup directories or registry keys, to achieve privilege escalation and maintain access on compromised systems. While information technology (IT) teams legitimately use these AutoStart Extension Points (ASEPs), adversaries frequently deploy malicious binaries with non-standard naming conventions or execute files from transient directories (e.g., Temp or Public folders). This study proposes a threat-hunting framework using a custom Elasticsearch Security Information and Event Management (SIEM) system to detect such persistence tactics. Two hypothesis-driven investigations were conducted: the first focused on identifying unauthorized ASEP registry key modifications during user logon events, while the second targeted malicious Dynamic Link Library (DLL) injections within temporary directories. By correlating Sysmon event logs (e.g., registry key creation/modification and process creation events), the researchers identified attack chains involving sequential registry edits and malicious file executions. Analysis confirmed that Sysmon Event ID 12 (registry object creation) and Event ID 7 (DLL loading) provided critical forensic evidence for detecting these tactics. The findings underscore the efficacy of real-time event correlation in SIEM systems in disrupting adversarial workflows, enabling rapid mitigation through the removal of malicious entries. This approach advances proactive defense strategies against privilege escalation and persistence, emphasizing the need for granular monitoring of registry and filesystem activities in enterprise environments.

Future InternetVol. 17(9)
University of Hawaii at Hilo (US), University of Petroleum and Energy Studies (IN), Graphic Era University (IN)
Openalex Percentile: Top 72%
Smart Grid Security and Resilience
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Elasticsearch-Based Threat Hunting to Detect Privilege Escalation Using Registry Modification and Process Injection Attacks — Luxmi Sapra, Akashdeep Bhardwaj, et al. · Future Internet (2025) | TGRS Research Map | TGRS