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👉 GitHub Repo: https://lnkd.in/g7zDqGbj
YogSec’s Digital-Forensics-Tools repository is a curated collection of essential tools for digital forensics, investigation, data recovery, and security analysis. The repo covers:
- 💾 Disk Forensics: Tools like Autopsy, The Sleuth Kit, and FTK Imager for disk imaging & recovery.
- 🧠 Memory Forensics: Volatility, Rekall, and DumpIt for deep memory analysis.
- 🔎 File Recovery: Scalpel, TestDisk, and Recuva to retrieve lost data.
You Should Know: Practical Digital Forensics Commands & Tools
1. Disk Forensics
- FTK Imager (Windows) – Acquire disk images:
ftkimager --source C: --dest E:\evidence\ --case 001 --e01
- The Sleuth Kit (Linux) – Analyze disk partitions:
mmls /dev/sda1 List partitions fls -r /dev/sda1 Recover deleted files
2. Memory Forensics
- Volatility (Linux/Windows) – Analyze RAM dumps:
volatility -f memory.dmp imageinfo Identify OS profile volatility -f memory.dmp --profile=Win10x64 pslist List processes
- Rekall – Extract registry hives:
rekal -f memory.raw --profile Win10 hooks Detect kernel hooks
3. File Recovery
- TestDisk (Linux/Windows) – Repair partitions:
testdisk /dev/sdb Recover lost partitions
- Scalpel (Linux) – Carve files from disk:
scalpel -c /etc/scalpel.conf /dev/sdc -o recovered_files/
4. Network Forensics
- Wireshark – Analyze PCAP files:
wireshark -r traffic.pcap -Y "http.request" Filter HTTP requests
- Tshark (CLI Alternative):
tshark -r traffic.pcap -T fields -e ip.src -e ip.dst
What Undercode Say
Digital forensics is critical in incident response, malware analysis, and legal investigations. Mastering these tools ensures efficient evidence collection and analysis. Key takeaways:
– Always hash acquired evidence (md5sum image.dd).
– Use write-blockers to prevent evidence tampering.
– Automate forensics with Python scripts (e.g., `pytsk3` for disk parsing).
Expected Output:
A structured forensic report with:
- Timeline analysis (
log2timeline). - Malware indicators (YARA rules).
- Verified file integrity (SHA-256 checksums).
🔗 Explore More: YogSec’s GitHub | Volatility Docs
References:
Reported By: Ouardi Mohamed – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅



