This project aims to develop a memory forensics system capable of analyzing volatile memory (RAM) to detect malicious processes, hidden services, and suspicious runtime activities. The system assists investigators in identifying threats that may not be visible through traditional disk-based analysis methods.
Study concepts of volatile memory, RAM structure, and process management in operating systems.
Research common memory-based attack techniques such as rootkits and fileless malware.
Design a system capable of analyzing memory dump files safely.
Implement functionality to extract running processes, open network connections, and loaded modules.
Identify anomalies such as hidden processes or suspicious parent-child relationships.
Compare process hashes with known safe or malicious signatures.
Create filtering options to highlight high-risk memory artifacts.
Develop reporting functionality summarizing suspicious memory findings.
Test the system using sample memory dumps from controlled environments.
Document forensic procedures and limitations of volatile memory analysis.
