Memory Forensics & Volatile Data Analysis

Market Problem Critical evidence exists only in RAM (running processes, encryption keys, network connections). Memory dumps must be captured and analyzed to detect active malware, recover deleted data, and identify attacker artifacts before the system powers down. Proposed Solution Memory forensics framework that: parses memory dumps (Windows minidumps, full memory images), extracts running process trees, identifies injected code, recovers network sockets (active connections), finds encryption keys in memory, and detects malware signatures. Free Tools & Technologies • volatility3 memory analysis framework • Python for custom memory parsing • YARA rules for malware detection • PyQt5 for interactive memory viewer Key Requirements 1. Memory Dump Parser (Windows, Linux, Mac) 2. Process Extraction & Analysis (threads, DLLs, code caves) 3. Network Socket Recovery & Connection Tracking 4. Encryption Key & Credential Detection 5. YARA Signature Scanning for Known Malware