/install ctf-malware
CTF Malware & Network Analysis
Quick reference for malware analysis CTF challenges. Each technique has a one-liner here; see supporting files for full details with code.
Prerequisites
Python packages (all platforms):
pip install yara-python pefile capstone oletools unicorn pycryptodome \
volatility3 dissect.cobaltstrike
Linux (apt):
apt install strace ltrace tshark binwalk binutils
macOS (Homebrew):
brew install wireshark binwalk binutils ghidra
Manual install:
- dnSpy — GitHub, .NET decompiler (Windows)
Additional Resources
- scripts-and-obfuscation.md - JavaScript deobfuscation, PowerShell analysis, eval/base64 decoding, junk code detection, hex payloads, Debian package analysis, dynamic analysis techniques (strace/ltrace, network monitoring, memory string extraction, automated sandbox execution), YARA rules for malware detection, shellcode analysis (Unicorn Engine, Capstone), memory forensics for malware (Volatility 3 malfind, process injection detection), anti-analysis techniques (VM detection, timing evasion, API hashing, process injection)
- c2-and-protocols.md - C2 traffic patterns, custom crypto protocols, RC4 WebSocket, DNS-based C2, network indicators, PCAP analysis, AES-CBC, encryption ID, Telegram bot recovery, Poison Ivy RAT Camellia decryption
- pe-and-dotnet.md - PE analysis (peframe, pe-sieve, pestudio), .NET analysis (dnSpy, AsmResolver), LimeRAT extraction, sandbox evasion, malware config extraction, PyInstaller+PyArmor
When to Pivot
- If the sample is really just a normal crackme, packed challenge binary, or custom VM with no malware behavior, switch to
/ctf-reverse. - If the main job is network reconstruction, disk carving, or host artifact recovery, switch to
/ctf-forensics. - If the challenge turns into public attribution or infrastructure tracing, switch to
/ctf-osint.
Quick Start Commands
# Static analysis
file suspicious_file
strings -n 8 suspicious_file | head -50
xxd suspicious_file | head -20
# PE analysis
python3 -c "import pefile; pe=pefile.PE('mal.exe'); print(pe.dump_info())" | head
peframe mal.exe
# Dynamic analysis (sandboxed!)
strace -f -s 200 ./suspicious 2>&1 | head -100
ltrace ./suspicious 2>&1 | head -50
# Network indicators
strings suspicious_file | grep -E '[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}'
strings suspicious_file | grep -iE 'http|ftp|ws://'
# YARA scan
yara -r rules.yar suspicious_file
Obfuscated Scripts
- Replace
eval/bashwithechoto print underlying code; extract base64/hex blobs and analyze withfile. See scripts-and-obfuscation.md.
JavaScript & PowerShell Deobfuscation
- JS: Replace
evalwithconsole.log, decodeunescape(),atob(),String.fromCharCode(). - PowerShell: Decode
-encbase64, replaceIEXwith output. See scripts-and-obfuscation.md.
Junk Code Detection
- NOP sleds, push/pop pairs, dead writes, unconditional jumps to next instruction. Filter to extract real
calltargets. See scripts-and-obfuscation.md.
PCAP & Network Analysis
tshark -r file.pcap -Y "tcp.stream eq X" -T fields -e tcp.payload
Look for C2 on unusual ports. Extract IPs/domains with strings | grep. See c2-and-protocols.md.
Custom Crypto Protocols
- Stream ciphers share keystream state for both directions; concatenate ALL payloads chronologically.
- ChaCha20 keystream extraction: send nullbytes (0 XOR anything = anything). See c2-and-protocols.md.
C2 Traffic Patterns
- Beaconing, DGA, DNS tunneling, HTTP(S) with custom headers, encoded payloads. See c2-and-protocols.md.
RC4-Encrypted WebSocket C2
- Remap port with
tcprewrite, add RSA key for TLS decryption, find RC4 key in binary. See c2-and-protocols.md.
Identifying Encryption Algorithms
- AES:
0x637c777bS-box; ChaCha20:expand 32-byte k; TEA/XTEA:0x9E3779B9; RC4: sequential S-box init. See c2-and-protocols.md.
AES-CBC in Malware
- Key = MD5/SHA256 of hardcoded string; IV = first 16 bytes of ciphertext. See c2-and-protocols.md.
PE Analysis
peframe malware.exe # Quick triage
pe-sieve # Runtime analysis
pestudio # Static analysis (Windows)
See pe-and-dotnet.md.
.NET Malware Analysis
- Use dnSpy/ILSpy for decompilation; AsmResolver for programmatic analysis. LimeRAT C2: AES-256-ECB with MD5-derived key. See pe-and-dotnet.md.
Malware Configuration Extraction
- Check .data section, PE/.NET resources, registry keys, encrypted config files. See pe-and-dotnet.md.
Sandbox Evasion Checks
- VM detection, debugger detection, timing checks, environment checks, analysis tool detection. See pe-and-dotnet.md.
Anti-Analysis Techniques
VM detection (CPUID, MAC prefix, registry, disk size), timing evasion (sleep/RDTSC sandbox detection), API hashing (ROR13/DJB2/CRC32 + hashdb lookup), process injection (hollowing, APC, CreateRemoteThread), environment checks. See scripts-and-obfuscation.md.
PyInstaller + PyArmor Unpacking
pyinstxtractor.pyto extract, PyArmor-Unpacker for protected code. See pe-and-dotnet.md.
Telegram Bot Evidence Recovery
- Use bot token from malware source to call
getUpdatesandgetFileAPIs. See c2-and-protocols.md.
Debian Package Analysis
ar -x package.deb && tar -xf control.tar.xz # Check postinst scripts
See scripts-and-obfuscation.md.
YARA Rules for Malware Detection
Write YARA rules to match byte patterns, strings, and regex against files or memory dumps. Detect XOR loops ({31 ?? 80 ?? ?? 4? 75}), base64 blobs, encoded PowerShell. Use yarac to compile for faster scanning. See scripts-and-obfuscation.md.
Shellcode Analysis
Disassemble with objdump -b binary -m i386:x86-64, emulate with Unicorn Engine (hook syscalls safely), or use Capstone for programmatic disassembly. Look for XOR decoder stubs. See scripts-and-obfuscation.md.
Memory Forensics for Malware
vol3 windows.malfind detects injected code (PAGE_EXECUTE_READWRITE without mapped file). windows.pstree reveals suspicious parent-child relationships. YARA scan memory with yarascan.YaraScan. See scripts-and-obfuscation.md.
Network Indicators Quick Reference
strings malware | grep -E '[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}'
tshark -r capture.pcap -Y "dns.qry.name" -T fields -e dns.qry.name | sort -u
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ctf-malware - After installation, invoke the skill by name or use
/ctf-malware - Provide required inputs per the skill's parameter spec and get structured output
What is Ctf Malware?
Provides malware analysis and network traffic techniques for CTF challenges. Use when analyzing obfuscated scripts, malicious packages, custom crypto protoco... It is an AI Agent Skill for Claude Code / OpenClaw, with 173 downloads so far.
How do I install Ctf Malware?
Run "/install ctf-malware" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ctf Malware free?
Yes, Ctf Malware is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ctf Malware support?
Ctf Malware is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ctf Malware?
It is built and maintained by gandli (@gandli); the current version is v1.0.0.