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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
59 lines
1.6 KiB
Markdown
59 lines
1.6 KiB
Markdown
# API Reference: Analyzing Memory Forensics with LiME and Volatility
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## LiME (Linux Memory Extractor)
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```bash
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# Build LiME module
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cd LiME/src && make
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# Acquire memory (lime format - includes metadata)
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insmod lime-$(uname -r).ko "path=/evidence/mem.lime format=lime"
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# Acquire memory (raw format)
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insmod lime-$(uname -r).ko "path=/evidence/mem.raw format=raw"
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# Acquire over network
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insmod lime.ko "path=tcp:4444 format=lime"
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# On forensic workstation: nc target 4444 > mem.lime
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```
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## Volatility 3 Linux Plugins
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| Plugin | Description |
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|--------|-------------|
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| `linux.pslist` | List processes via task_struct |
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| `linux.psscan` | Brute-force scan for task_struct |
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| `linux.bash` | Recovered bash command history |
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| `linux.sockstat` | Network connections |
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| `linux.lsmod` | Loaded kernel modules |
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| `linux.malfind` | Detect injected code |
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| `linux.check_afinfo` | Detect network hooking |
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| `linux.tty_check` | Detect TTY hooking |
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| `linux.proc.Maps` | Process memory maps |
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## Volatility 3 CLI
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```bash
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vol3 -f memory.lime linux.pslist
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vol3 -f memory.lime linux.bash
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vol3 -f memory.lime linux.sockstat
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vol3 -f memory.lime linux.malfind
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vol3 -f memory.lime linux.lsmod
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vol3 -f memory.lime linux.check_afinfo
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```
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## Hidden Process Detection
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```bash
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# Compare pslist (linked list) vs psscan (brute force)
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vol3 -f mem.lime linux.pslist > pslist.txt
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vol3 -f mem.lime linux.psscan > psscan.txt
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diff pslist.txt psscan.txt
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```
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### References
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- LiME: https://github.com/504ensicsLabs/LiME
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- Volatility 3: https://github.com/volatilityfoundation/volatility3
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- Volatility 3 docs: https://volatility3.readthedocs.io/
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