WAFMANCER v2.0

Next-Generation WAF Evasion Research Framework

Response Oracle Technology 🟣 | Neural Exploit Synthesis 🧠 | Trust Corruptor 🔥

"Not a tool. A research weapon."

crafted by :: kakashi-kx

📖 TABLE OF CONTENTS

What is WAFMANCER?
Why WAFMANCER is Different
Features
Modules
Installation
Quick Start
Usage Examples
Attack Chain
WAFs Tested
Configuration
Project Structure
Bug Bounty Usage
Screenshots
Research & Publications
Contributing
Disclaimer
License
Credits

🧠 WHAT IS WAFMANCER?

WAFMANCER is a research-grade WAF evasion framework that introduces three novel attack concepts never before implemented in a single tool:

Response Oracle Technology — Maps the complete decision boundary of a WAF through systematic probing
Neural Exploit Synthesis — AI-powered payload generation that synthesizes never-before-seen attack vectors
Trust Corruptor — Exploits WAF reputation scoring by building trust before delivering payloads

Unlike traditional fuzzers that simply throw payloads at a target, WAFMANCER understands the WAF it's attacking and adapts its strategy accordingly.

🔥 WHY WAFMANCER IS DIFFERENT

Feature	Traditional Tools	WAFMANCER
Payload Generation	Pre-built wordlists	AI-synthesized novel payloads
WAF Interaction	Blind fuzzing	Decision boundary mapping
Delivery Strategy	Single request	Trust-based multi-request timing
WAF Awareness	None	Fingerprinting + tactical profiles
Output	Pass/Fail	Full tactical intel + PoC + data exfiltration
Reputation Exploitation	No concept	Trust decay curve mapping
ML Evasion	Basic encoding	Multi-vector chaining + ML blindspot targeting

⚡ FEATURES

Core Capabilities

🔮 Response Oracle — Maps WAF decision boundaries with 50+ mutation templates
🧬 Smart Mutation Engine — WAF-specific payloads (Cloudflare, AWS, Akamai, ModSecurity, Sucuri)
🎯 WAF Fingerprinter — Passive detection via header/cookie/response analysis
🧠 Neural Exploit Synthesis — AI-powered payload generation with 5-layer obfuscation chains
🔥 Trust Corruptor — Exploits WAF reputation scoring for timed payload delivery
💰 Bug Bounty Mode — Automated multi-target scanning with rate limiting
📊 Research Database — SQLite-backed findings with full history
📄 Export Engine — Publication-ready Markdown/JSON reports
🐍 PoC Generator — Auto-generated Python exploit scripts
🎨 Cyberpunk Terminal — Unique signature theme with tactical intel display

Attack Techniques

HTTP Request Smuggling (CL.TE, TE.CL, TE.TE variants)
Header Injection & Manipulation
Path Traversal & URL Obfuscation
Unicode/HTML Entity/URL/Hex Encoding Bypasses
Protocol-Level Attacks (HTTP/2, pipelining)
Method Tampering
Content-Type Confusion
Cache Deception & Poisoning
ML Blindspot Exploitation
Reputation Score Manipulation

📦 MODULES

Module	Command	Description
🟣 Response Oracle	`wafmancer oracle`	Maps WAF decision boundaries
🧠 Neural Exploit	`wafmancer neural`	AI-powered payload synthesis
🔥 Trust Corruptor	`wafmancer corrupt`	Trust-based delivery + data exfiltration
💰 Bug Bounty	`wafmancer bounty`	Automated multi-target scanning
📊 History	`wafmancer history`	View research session history
📈 Stats	`wafmancer stats`	Research statistics dashboard
📄 Export	`wafmancer export`	Publication-ready reports
ℹ️ Info	`wafmancer info`	Configuration display
📋 Modules	`wafmancer modules`	List all available modules

🔧 INSTALLATION

Prerequisites

Python 3.10+
pip
git

Setup

# Clone the repository
git clone https://github.com/CSAT-DEVELOPER/wafmancer.git
cd wafmancer

# Create virtual environment (recommended for Kali Linux)
python3 -m venv venv
source venv/bin/activate

# Install dependencies
pip install 'httpx[http2]' rich pyyaml structlog click

# Install WAFMANCER in development mode
pip install -e .

Kali Linux Note

Kali uses PEP 668 externally-managed environments. Always use a virtual environment:

sudo apt install python3-venv -y
python3 -m venv venv
source venv/bin/activate

🚀 QUICK START

# 1. Run a basic scan
python -m wafmancer oracle -t https://example.com --probes 15

# 2. Generate AI-synthesized payloads
python -m wafmancer neural -p "<script>alert(1)</script>"

# 3. Deliver payload with trust manipulation
python -m wafmancer corrupt -t https://example.com -p "<script>alert(1)</script>"

# 4. View your research history
python -m wafmancer history

# 5. Check statistics
python -m wafmancer stats

# 6. Export findings
python -m wafmancer export

📝 USAGE EXAMPLES

Oracle — Map WAF Decision Boundaries

# Basic scan
python -m wafmancer oracle -t https://example.com --probes 15

# Against Cloudflare with more probes
python -m wafmancer oracle -t https://www.cloudflare.com --probes 30

# Save report
python -m wafmancer oracle -t https://example.com -o report.md

Neural — AI Payload Synthesis

# XSS payload synthesis
python -m wafmancer neural -p "<script>alert(1)</script>"

# SQLi targeting Cloudflare
python -m wafmancer neural -p "' OR 1=1 --" --waf Cloudflare

# Path traversal targeting AWS WAF
python -m wafmancer neural -p "../../../etc/passwd" --waf "AWS WAF"

# Command injection with ModSecurity profile
python -m wafmancer neural -p "; cat /etc/shadow" --waf ModSecurity

Trust Corruptor — Trust-Based Delivery with Data Exfiltration

# Path traversal with data extraction
python -m wafmancer corrupt -t https://example.com -p "../../../etc/passwd"

# SQL injection bypass with Cloudflare profile
python -m wafmancer corrupt -t https://example.com -p "' OR 1=1 --" --waf Cloudflare

# Skip neural synthesis (use raw payload)
python -m wafmancer corrupt -t https://example.com -p "../../../etc/passwd" --no-synthesize

# Slow mode for aggressive WAFs
python -m wafmancer corrupt -t https://example.com -p "<script>alert(1)</script>" --requests 10

Bounty Mode — Automated Multi-Target Scanning

# Create target list
cat > targets.txt << 'EOF'
https://api.example.com
https://app.example.com
https://admin.example.com
EOF

# Run bounty scan (bounty-compliant rate limiting)
python -m wafmancer bounty -f targets.txt --probes 15 --concurrency 1 --delay 5

# Export results
python -m wafmancer export

🔄 ATTACK CHAIN

┌─────────────────────────────────────────────────────────────────────┐
│                      WAFMANCER ATTACK CHAIN                          │
└─────────────────────────────────────────────────────────────────────┘

  STEP 1: ORACLE PROBES
  ├── Sends 50+ mutations at the target
  ├── Maps WAF decision boundary
  └── Output: "These payloads got blocked, these got through"

  STEP 2: FINGERPRINT
  ├── Identifies WAF vendor (Cloudflare, AWS, Akamai, etc.)
  └── Output: "Cloudflare detected — confidence 67%"

  STEP 3: NEURAL EXPLOIT SYNTHESIS
  ├── Takes BLOCKED payloads from Step 1
  ├── Synthesizes novel payloads via 5-layer obfuscation chains
  ├── Targets WAF-specific ML blindspots
  └── Output: "Here are NEW payloads that bypass ML detection"

  STEP 4: TRUST CORRUPTOR
  ├── Takes BYPASSED payloads from Step 3
  ├── Builds trust with benign browser-like requests
  ├── Maps trust decay curve
  ├── Injects payload at peak trust window
  └── Output: "DATA EXFILTRATED — 391,764 bytes"

  STEP 5: RESEARCH DATABASE
  ├── Saves all findings with full metadata
  ├── Generates PoC scripts
  └── Output: Publication-ready reports

🛡️ WAFS TESTED

WAF Vendor	Detection	Bypass Rate	Difficulty
Cloudflare	✅ Fingerprinted	37.5%	Medium
AWS WAF	✅ Fingerprinted	—	Low-Medium
Akamai Kona	✅ Fingerprinted	0% (aggressive stream resets)	Hard
Sucuri WAF	✅ Fingerprinted	30%	Medium-High
ModSecurity	✅ Fingerprinted	High	Low
Fortinet	Supported	—	—
Citrix NetScaler	Supported	—	—
Imperva/Incapsula	Supported	—	—

⚙️ CONFIGURATION

Edit config.yaml to customize WAFMANCER:

oracle:
  max_probes: 50          # Maximum probes per scan
  concurrency: 1           # 1 = bounty-compliant
  probe_delay: 0.6         # 600ms between probes

bounty:
  concurrency: 1           # Never parallel
  delay_between_targets: 5 # 5 seconds between targets
  probe_delay: 0.6         # ~1.6 req/sec (safe for 2/sec limit)

Environment variable overrides:

export WAFMANCER_ORACLE__MAX_PROBES=100
export WAFMANCER_LOGGING__LEVEL=DEBUG

📁 PROJECT STRUCTURE

wafmancer/
├── wafmancer/
│   ├── __init__.py
│   ├── __main__.py
│   ├── cli.py                  # Rich CLI with cyberpunk theme
│   ├── config.py               # YAML configuration management
│   ├── logging_config.py       # Structured JSON logging
│   ├── exceptions.py           # Custom exception hierarchy
│   ├── core/
│   │   ├── __init__.py
│   │   ├── oracle.py           # Response Oracle Engine
│   │   ├── http_client.py      # Async HTTP/2 client
│   │   ├── diff_engine.py      # Advanced response comparison
│   │   ├── fingerprinter.py    # WAF fingerprinting
│   │   ├── mutation_engine.py  # 50+ payload library
│   │   ├── neural_exploit.py   # AI payload synthesis
│   │   ├── trust_corruptor.py  # Trust manipulation + data exfiltration
│   │   ├── bounty_mode.py      # Automated multi-target scanning
│   │   └── research_store.py   # SQLite research database
│   ├── utils/
│   │   └── helpers.py          # Utility functions
│   └── plugins/
│       ├── base.py             # Abstract plugin interface
│       └── fuzzer.py           # Advanced fuzzer plugin
├── config.yaml                 # Default configuration
├── requirements.txt
├── pyproject.toml              # Modern Python packaging
├── README.md
└── research/                   # Research findings
    └── findings_export.md

💰 BUG BOUNTY USAGE

Best Practices

Always read program rules first — Different platforms have different rate limits
Use bounty-compliant settings — --concurrency 1 --delay 5
Test on your own infrastructure first — Verify WAFMANCER works before using on bounties
Document everything — WAFMANCER generates reports automatically
Submit PoC scripts — Auto-generated Python scripts prove impact

Rate Limit Compliance

Platform	Rate Limit	WAFMANCER Setting
HackerOne	2 req/sec	`concurrency: 1, probe_delay: 0.6`
Bugcrowd	Varies	Check program policy
Intigriti	3 req/sec	`concurrency: 1, probe_delay: 0.4`
YesWeHack	2 req/sec	`concurrency: 1, probe_delay: 0.6`

📸 SCREENSHOTS

📸 To add screenshots: Create a screenshots/ folder, add your PNG files, and uncomment the lines above.

📚 RESEARCH & PUBLICATIONS

Novel Concepts Introduced

Response Oracle Technology — Systematic WAF decision boundary mapping
Neural Exploit Synthesis — AI-powered payload generation with multi-vector chaining
Trust Corruptor — WAF reputation score manipulation for timed payload delivery

Potential Research Papers

"Mapping the Decision Boundary: A Systematic Approach to WAF Evasion"
"Genetic Algorithms vs Machine Learning: Evolving Payloads to Bypass AI-Powered WAFs"
"Trust No One: Exploiting Reputation Scoring in Modern Web Application Firewalls"

🤝 CONTRIBUTING

Contributions are welcome! Areas for contribution:

New WAF tactical profiles (trust_corruptor.py)
Additional mutation templates (mutation_engine.py)
New attack surfaces (neural_exploit.py)
Improved WAF fingerprinting signatures (fingerprinter.py)
Documentation improvements

⚠️ DISCLAIMER

WAFMANCER is designed for authorized security research only.

✅ Bug bounty programs (with permission)
✅ Authorized penetration tests
✅ Your own infrastructure
✅ Security research labs
❌ Unauthorized testing of third-party systems
❌ Illegal activities of any kind

The authors assume no liability for misuse of this tool. Always obtain proper authorization before testing any system.

📄 LICENSE

MIT License — See LICENSE for details.

🙏 CREDITS

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║                                                              ║
║         ✦ crafted by kakashi4kx / kakashi-kx ✦              ║
║                                                              ║
║          https://github.com/kakashi-kx/WAFMANCER             ║
║                                                              ║
╚══════════════════════════════════════════════════════════════╝

WAFMANCER v2.0 — Response Oracle Technology
_{Next-Generation WAF Evasion Research Framework}

_{⭐ Star this repo if you find it useful! ⭐}

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WAFMANCER v2.0

Next-Generation WAF Evasion Research Framework

📖 TABLE OF CONTENTS

🧠 WHAT IS WAFMANCER?

🔥 WHY WAFMANCER IS DIFFERENT

⚡ FEATURES

Core Capabilities

Attack Techniques

📦 MODULES

🔧 INSTALLATION

Prerequisites

Setup

Kali Linux Note

🚀 QUICK START

📝 USAGE EXAMPLES

Oracle — Map WAF Decision Boundaries

Neural — AI Payload Synthesis

Trust Corruptor — Trust-Based Delivery with Data Exfiltration

Bounty Mode — Automated Multi-Target Scanning

🔄 ATTACK CHAIN

🛡️ WAFS TESTED

⚙️ CONFIGURATION

📁 PROJECT STRUCTURE

💰 BUG BOUNTY USAGE

Best Practices

Rate Limit Compliance

📸 SCREENSHOTS

📚 RESEARCH & PUBLICATIONS

Novel Concepts Introduced

Potential Research Papers

🤝 CONTRIBUTING

⚠️ DISCLAIMER

📄 LICENSE

🙏 CREDITS

About

Releases

Contributors

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Repository files navigation

WAFMANCER v2.0

Next-Generation WAF Evasion Research Framework

📖 TABLE OF CONTENTS

🧠 WHAT IS WAFMANCER?

🔥 WHY WAFMANCER IS DIFFERENT

⚡ FEATURES

Core Capabilities

Attack Techniques

📦 MODULES

🔧 INSTALLATION

Prerequisites

Setup

Kali Linux Note

🚀 QUICK START

📝 USAGE EXAMPLES

Oracle — Map WAF Decision Boundaries

Neural — AI Payload Synthesis

Trust Corruptor — Trust-Based Delivery with Data Exfiltration

Bounty Mode — Automated Multi-Target Scanning

🔄 ATTACK CHAIN

🛡️ WAFS TESTED

⚙️ CONFIGURATION

📁 PROJECT STRUCTURE

💰 BUG BOUNTY USAGE

Best Practices

Rate Limit Compliance

📸 SCREENSHOTS

📚 RESEARCH & PUBLICATIONS

Novel Concepts Introduced

Potential Research Papers

🤝 CONTRIBUTING

⚠️ DISCLAIMER

📄 LICENSE

🙏 CREDITS

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