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mukul975
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Complete skill folder anatomy across all cybersecurity skills: - scripts/agent.py: 80-150 line Python agents using real libraries (impacket, boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.) - references/api-reference.md: real API documentation with method signatures - LICENSE: MIT license for all skill folders
1.6 KiB
1.6 KiB
API Reference: Analyzing Memory Forensics with LiME and Volatility
LiME (Linux Memory Extractor)
# Build LiME module
cd LiME/src && make
# Acquire memory (lime format - includes metadata)
insmod lime-$(uname -r).ko "path=/evidence/mem.lime format=lime"
# Acquire memory (raw format)
insmod lime-$(uname -r).ko "path=/evidence/mem.raw format=raw"
# Acquire over network
insmod lime.ko "path=tcp:4444 format=lime"
# On forensic workstation: nc target 4444 > mem.lime
Volatility 3 Linux Plugins
| Plugin | Description |
|---|---|
linux.pslist |
List processes via task_struct |
linux.psscan |
Brute-force scan for task_struct |
linux.bash |
Recovered bash command history |
linux.sockstat |
Network connections |
linux.lsmod |
Loaded kernel modules |
linux.malfind |
Detect injected code |
linux.check_afinfo |
Detect network hooking |
linux.tty_check |
Detect TTY hooking |
linux.proc.Maps |
Process memory maps |
Volatility 3 CLI
vol3 -f memory.lime linux.pslist
vol3 -f memory.lime linux.bash
vol3 -f memory.lime linux.sockstat
vol3 -f memory.lime linux.malfind
vol3 -f memory.lime linux.lsmod
vol3 -f memory.lime linux.check_afinfo
Hidden Process Detection
# Compare pslist (linked list) vs psscan (brute force)
vol3 -f mem.lime linux.pslist > pslist.txt
vol3 -f mem.lime linux.psscan > psscan.txt
diff pslist.txt psscan.txt
References
- LiME: https://github.com/504ensicsLabs/LiME
- Volatility 3: https://github.com/volatilityfoundation/volatility3
- Volatility 3 docs: https://volatility3.readthedocs.io/