Memory Forensics

Analyzing volatile memory for evidence of cyber threats and malicious activity.

Understanding:

Memory forensics is the process of analyzing volatile memory (RAM) to identify cyber threats, recover evidence, and detect advanced malware. It is a critical technique in incident response and digital investigations.

Common Applications and Use Cases:

Used in forensic investigations to extract encryption keys, running processes, and hidden malware.
Helps detect fileless malware that resides in memory without leaving traces on disk.
Supports threat hunting by identifying suspicious network connections and injected code.

Best Practices and Security Considerations:

Use memory forensics tools like Volatility and Rekall to analyze dumps.
Capture memory snapshots before shutting down a compromised system.
Store forensic evidence securely to maintain chain of custody.