ctf-malware
Provides malware analysis and network traffic techniques for CTF challenges.
Skill by Fruit-Guardians
Install
Works with Claude Code. Read the repository before you give any tool access to your data.
npx agentmarket install skill/fruit-guardians-ctf-malware
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: backend, finance
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ctf-malware
Tools it pre-approves 9
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
BashReadWriteEditGlobGrepTaskWebFetchWebSearch
What's inside
- Skill 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
- Instructions
- 171 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves any shell command
Files (4)
- SKILL.md
- c2-and-protocols.md
- pe-and-dotnet.md
- scripts-and-obfuscation.md
SKILL.md (first lines)
# 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):**
```bash
pip install yara-python pefile capstone oletools unicorn pycryptodome \
volatility3 dissect.cobaltstrike
```
**Linux (apt):**
```bash
apt install strace ltrace tshark binwalk binutils
```
**macOS (Homebrew):**
```bash
brew install wireshark binwalk binutils ghidra
```
**Manual install:**
- dnSpy — [GitHub](https://github.com/dnSpy/dnSpy), .NET decompiler (Windows)
## Additional Resources
- [scripts-and-obfuscation.md](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 decoding
- [c2-and-protocols.md](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-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
```bash
# 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`/`bash` with `echo` to print underlying code; extract base64/hex blobs and analyze with `file`. See [scripts-and-obfuscation.md](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](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](scripts-and-obfuscation.md).
## PCAP & Network Analysis
```bash
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](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-and-protocols.md).
## C2 Traffic Patterns
- Beaconing, DGA, DNS tunneling, HTTP(S) with custom headers, encoded payloads. See [c2-and-protocols.md](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](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](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](c2-and-protocols.md).
## PE Analysis
```bash
peframe malware.exe # Quick triage
pe-sieve # Runtime analysis
pestudio # Static analysis (Windows)
```
See [pe-and-dotnet.md](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](pe-and-dotnet.md).From Fruit-Guardians/ProofBlade, MIT.
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Signals
- Stars
- 8
- Forks
- 7
- Open issues
- 0
- Last commit (this folder)
- Aug 14, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Fruit-Guardians/ProofBlade
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
ctf-malware skill. Agent Mart. https://agentmart.dev/skills/fruit-guardians-ctf-malware (last updated 2026-10-24)