Security and Forensic Analysis of the Ram of a Computer Infected by a Malware

Our world is increasingly immersed in technology and malware pose a formidable threat. Malware exploits security vulnerabilities (on a large scale), causing enormous financial losses and compromise of vital information for many businesses, individuals and government institutions. To counter these attacks, forensic malware analysis is crucial. This research focuses on analyzing the RAM of computers infected with virus. The goal of this research is to enable digital investigators to better understand malware behavior and implement effective solutions to analyze compromised computers. The research question is how IT professionals can better analyze infected computer bur using the right method. This work uses tools such as LiME and Volatility and secure environments such as CSI Linux and Tsurugi Linux. In this search we identify suspicious processes running, as well as suspicious active network connections. The results show characteristic alterations, such as changes in system processes or unusual memory access patterns, aligned with known virus techniques. Forensic analysis on network connections shows that the virus established outbound connections to command and control (C&C) servers to receive instructions and send encrypted data by identifying communications to associated suspicious IP addresses and ports to the C&C. This research is crucial because behavioral analysis of malware contributes to the development of more effective mitigation techniques, thereby reducing the risk of infection. Additionally, this research can be valuable for designing malware decryption tools, providing an opportunity for data recovery after a file encryption attack.

Authors

Publication Details

Journal
World Journal of Nano Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.4236/wjnse.2025.151001
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
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article

Security and Forensic Analysis of the Ram of a Computer Infected by a Malware

Yanogo Kiswendsida Jean Hermann, Ouedraogo Tounwendyam Frederic, Gérald Yirga, Nabollé Rachid Gaetan et al.
World Journal of Nano Science and Engineering
Digital and Cyber Forensics
article

Security and Forensic Analysis of the Ram of a Computer Infected by a Malware

Yanogo Kiswendsida Jean Hermann, Ouedraogo Tounwendyam Frederic, Gérald Yirga, Nabollé Rachid Gaetan, Djibo Moumouni, Kahoun Zita Phillipe, Diberot Cidjeu
article en

Abstract

Our world is increasingly immersed in technology and malware pose a formidable threat. Malware exploits security vulnerabilities (on a large scale), causing enormous financial losses and compromise of vital information for many businesses, individuals and government institutions. To counter these attacks, forensic malware analysis is crucial. This research focuses on analyzing the RAM of computers infected with virus. The goal of this research is to enable digital investigators to better understand malware behavior and implement effective solutions to analyze compromised computers. The research question is how IT professionals can better analyze infected computer bur using the right method. This work uses tools such as LiME and Volatility and secure environments such as CSI Linux and Tsurugi Linux. In this search we identify suspicious processes running, as well as suspicious active network connections. The results show characteristic alterations, such as changes in system processes or unusual memory access patterns, aligned with known virus techniques. Forensic analysis on network connections shows that the virus established outbound connections to command and control (C&C) servers to receive instructions and send encrypted data by identifying communications to associated suspicious IP addresses and ports to the C&C. This research is crucial because behavioral analysis of malware contributes to the development of more effective mitigation techniques, thereby reducing the risk of infection. Additionally, this research can be valuable for designing malware decryption tools, providing an opportunity for data recovery after a file encryption attack.

World Journal of Nano Science and EngineeringVol. 15(01)
Openalex Percentile: Top 78%
Digital and Cyber Forensics
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Security and Forensic Analysis of the Ram of a Computer Infected by a Malware — Yanogo Kiswendsida Jean Hermann, Ouedraogo Tounwendyam Frederic, et al. · World Journal of Nano Science and Engineering (2025) | TGRS Research Map | TGRS