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Digital forensics is the scientific process of collecting, preserving, analyzing, and presenting electronic evidence to investigate cybercrimes, data breaches, or policy violations. It’s critical because sloppy evidence handling can make findings inadmissible in court (e.g., a ransomware attack where logs were deleted due to improper collection) or miss critical attacker footprints (e.g., malware hiding in RAM that disappears after a reboot). Example: In the 2017 Equifax breach, poor forensic practices delayed containment, allowing attackers to exfiltrate 147 million records over months.
Subfields: Disk forensics, memory forensics, network forensics, mobile forensics.
Chain of Custody (CoC): A documented, tamper-evident trail showing who handled evidence, when, and why. Required for legal admissibility (e.g., in court or HR investigations).
Standards: NIST SP 800-101 (mobile forensics), ISO/IEC 27043 (incident investigation).
Evidence Integrity: Ensuring data is unchanged from collection to presentation. Achieved via cryptographic hashing (e.g., SHA-256).
Example: If a forensic image’s hash changes, the evidence is compromised and may be thrown out in court.
Write Blocker: A hardware/software tool that prevents accidental writes to a storage device during acquisition (e.g., Tableau TD3, FTK Imager).
Why? Modifying evidence violates integrity and breaks the chain of custody.
Memory Forensics: Analyzing volatile data (RAM, CPU registers) to detect malware, rootkits, or attacker activity that disappears after reboot.
Key Artifacts: Running processes, network connections, injected code, encryption keys.
Live Forensics: Collecting data from a running system (e.g., RAM, open files) before shutting it down. Used when volatile data is critical (e.g., ransomware in memory).
Risk: Actions may alter system state (e.g., running tools can overwrite evidence).
Dead Forensics: Analyzing data from a powered-off system (e.g., disk images). Safer for integrity but misses volatile data.
Tools: Autopsy, EnCase, dd (Linux disk imaging).
Order of Volatility (OoV): A NIST SP 800-86 guideline prioritizing evidence collection from most to least volatile:
Backups/archives (long-term)
Forensic Image: A bit-for-bit copy of a storage device (e.g., HDD, SSD, USB) preserved in a forensic container (e.g., .E01, .AFF).
.E01
.AFF
Tools: FTK Imager, Guymager, dd (Linux).
Anti-Forensics: Techniques attackers use to hide, destroy, or mislead forensic investigations (e.g., timestomping, file wiping, steganography).
Example: CCleaner deleting logs, Mimikatz clearing memory artifacts.
Legal Hold: A court order requiring an organization to preserve all relevant data (e.g., emails, logs) for litigation. Failure to comply can result in sanctions (e.g., $9B fine in the 2016 Waymo vs. Uber case).
Volatile Data: Data that disappears when power is lost (e.g., RAM, ARP cache, open network connections). Must be collected first in live forensics.
volatility -f mem.dump imageinfo
volatility -f mem.dump netscan
DumpIt
dd if=/dev/sda of=evidence.dd bs=4M
sha256sum evidence.dd
Autopsy
RegRipper
volatility malfind
mimikatz
log2timeline
dd
FTK Imager
Volatility
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