Skip to main content الرئيسية المنشئون openaisec miko ctf-malware
ctf-malware Provides malware analysis and network traffic techniques for CTF challenges. Use when analyzing obfuscated scripts, malicious packages, custom crypto protocols, C2 traffic, PE/.NET binaries, RC4/AES encrypted communications, YARA rules, shellcode analysis, memory forensics for malware (Volatility malfind, process injection detection), anti-analysis techniques (VM/sandbox detection, timing evasion, API hashing, process injection, environment checks), or extracting malware configurations and indicators of compromise.
الانتقال إلى التثبيت سوق المهارات اكتشف واستكشف مهارات الذكاء الاصطناعي التي بناها المجتمع.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
عرض تفاصيل Prompt يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/OpenAisec/Miko --skill ctf-malwareيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
تحميل Zip جاري التحميل... c2-and-protocols.md 10.5 KB scripts-and-obfuscation.md 15.4 KB المهن ذات الصلة SOC
استنادا إلى تصنيف SOC المهني
category redteam name ctf-malware description Provides malware analysis and network traffic techniques for CTF challenges. Use when analyzing obfuscated scripts, malicious packages, custom crypto protocols, C2 traffic, PE/.NET binaries, RC4/AES encrypted communications, YARA rules, shellcode analysis, memory forensics for malware (Volatility malfind, process injection detection), anti-analysis techniques (VM/sandbox detection, timing evasion, API hashing, process injection, environment checks), or extracting malware configurations and indicators of compromise. license MIT compatibility Requires filesystem-based agent (Claude Code or similar) with bash, Python 3, and internet access for tool installation. allowed-tools Bash Read Write Edit Glob Grep Task WebFetch WebSearch metadata {"user-invocable":"false"}
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), trojanized plugin analysis with custom alphabet C2 decodingc2-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 decryptionpe-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
head
head
"import pefile; pe=pefile.PE('mal.exe'); print(pe.dump_info())"
head
head
head
'[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}'
'http|ftp|ws://'
Obfuscated Scripts
Replace eval/bash with echo to print underlying code; extract base64/hex blobs and analyze with file. See scripts-and-obfuscation.md .
JavaScript & PowerShell Deobfuscation
JS: Replace eval with console.log, decode unescape(), atob(), String.fromCharCode().
PowerShell: Decode -enc base64, replace IEX with 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 call targets. 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: 0x637c777b S-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
pe-sieve
pestudio
.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 .
Trojanized Plugin Analysis Diff malicious plugin against official release to find injected code in try/except blocks. Custom alphabet rotation (C[(C.index(ch) - offset) % len(C)]) decodes C2 domain, XOR decodes endpoint path. See scripts-and-obfuscation.md .
PyInstaller + PyArmor Unpacking
pyinstxtractor.py to extract, PyArmor-Unpacker for protected code. See pe-and-dotnet.md .
Telegram Bot Evidence Recovery
Use bot token from malware source to call getUpdates and getFile APIs. See c2-and-protocols.md .
Debian Package Analysis ar -x package.deb && tar -xf control.tar.xz
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
