forensic-memory

Analyze a RAM dump securely by enforcing SHA-256 hashing and working-copy discipline. This ensures original evidence remains untampered while identifying hidden processes, code injection, and network artifacts during incident response.

Memory forensics is the offline analysis of RAM images to identify malicious activity and process anomalies. You need it during incident response to investigate compromised systems by extracting forensic metadata without executing binaries.

Yes, you need a memory analysis framework like Volatility3. It is required to parse system state and extract forensic metadata from RAM dumps, enabling the detection of rootkit indicators and unauthorized network connections.

Yes, you can detect code injection by identifying RWX memory regions. The analysis scans memory images to uncover hidden processes, injected malicious code, and suspicious network artifacts, revealing deep system compromises.

The best way to maintain chain-of-custody is by using a hash-first workflow that verifies SHA-256 hashes before analysis. This approach, combined with working-copy discipline and redacted reporting, ensures evidence documentation remains strict.

To enumerate active processes from evidence.raw, first verify the file hash, then use a memory analysis framework to parse the image. This extracts system state metadata to list all running processes and identify anomalies.