dhcybsec256/Malware-Analysis-Project
GitHub: dhcybsec256/Malware-Analysis-Project
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# Malware-Analysis-Project
## Overview
Static and dynamic analysis of two real-world malware samples to identify
malicious behaviour, extract indicators of compromise (IOCs), and document
adversary techniques. Findings were compiled into a formal analysis report.
## Tools Used
| Tool | Purpose |
|------|---------|
| Ghidra | Static analysis & reverse engineering |
| Process Monitor | Runtime process & file system monitoring |
| Process Hacker | Live process inspection & memory analysis |
| Regshot | Registry & filesystem snapshot comparison |
| Wireshark | Network traffic capture & analysis |
## Methodology
### Sample 1 — Static Analysis
Reverse engineered a real-world malware binary using Ghidra to identify
imported functions, suspicious API calls, and program logic without execution.
### Sample 2 — Dynamic Analysis
Executed a second real-world sample in an isolated environment and monitored
runtime behaviour across process activity, registry changes, filesystem
modifications, and network traffic.