Industrial grade reconnaissance automation for modern attack surface discovery.
MAXMAP is a high performance reconnaissance framework engineered for:
- bug bounty hunters
- red team operators
- pentesters
- OSINT researchers
- offensive security workflows
The framework automates the complete early stage recon pipeline and transforms raw target data into structured intelligence ready for enumeration, fuzzing, exploitation, and attack surface analysis.
No bloated setup. No fragmented tooling. No manually chaining recon utilities for hours.
Just one command. One target. Full reconnaissance pipeline.
Modern reconnaissance is noisy.
Hunters waste time:
- switching between tools
- cleaning duplicate output
- fixing broken pipelines
- organizing recon data manually
- dealing with unstable scripts
MAXMAP solves that problem.
It combines industry standard reconnaissance tooling into one stable offensive pipeline with:
- automated dependency management
- structured reporting
- intelligent filtering
- live host discovery
- endpoint harvesting
- JavaScript intelligence extraction
- parameter mining
- response analysis
Designed for speed. Built for long recon sessions. Optimized for real world offensive operations.
Passive Enumeration
↓
Certificate Transparency Intelligence
↓
DNS Resolution
↓
Live Host Detection
↓
Port Discovery
↓
Directory Enumeration
↓
Historical URL Harvesting
↓
JavaScript Intelligence Extraction
↓
Parameter Mining
↓
HTTP Response Analysis
↓
Structured Recon Reports
Combines:
- Subfinder
- crt.sh intelligence scraping
to maximize subdomain discovery coverage.
Uses:
- PureDNS
- High performance resolver lists
for clean and reliable DNS validation.
HTTP probing powered by:
- Httpx
Automatically identifies:
- alive domains
- active web services
- reachable attack surfaces
Fast TCP port scanning using:
- Naabu
Optimized for:
- high speed reconnaissance
- low interruption scanning
Historical URL collection using:
- GAU
Finds:
- archived endpoints
- hidden parameters
- forgotten routes
- historical attack surfaces
Automatically extracts:
- JavaScript endpoints
- bundled JS files
- optimized assets
- frontend intelligence
Perfect for:
- secret hunting
- API discovery
- hidden endpoint enumeration
Filters and extracts:
- GET parameters
- dynamic endpoints
- injectable-looking URLs
Useful for:
- XSS
- IDOR
- SQLi
- SSRF
- Open Redirect testing
Integrated:
- Dirsearch automation
for rapid content discovery on live targets.
Automatically categorizes:
- 200 responses
- redirects
- forbidden endpoints
- error pages
into organized status-code reports.
MAXMAP
│
├── Passive Enumeration
├── DNS Resolution
├── HTTP Probing
├── Port Scanning
├── Directory Discovery
├── URL Harvesting
├── JavaScript Extraction
├── Parameter Mining
├── Response Classification
└── Structured Reporting
git clone https://github.com/IssanPy/MAXMAP.git
cd MAXMAP
chmod +x maxmap.sh./maxmap.sh example.comExample:
./maxmap.sh tesla.commaxmap_reports/<domain>_<timestamp>/
│
├── subdomains.txt
├── resolved.txt
├── alive_urls.txt
├── alive_hosts.txt
├── ports.txt
├── all_urls.txt
├── jsfiles_unique.txt
├── params_raw.txt
├── filterparam.txt
├── dir_results.txt
│
└── https/
├── httpx_full.txt
└── status_codes/
├── 200.txt
├── 301.txt
├── 403.txt
└── 500.txt
MAXMAP automatically installs missing dependencies.
- nmap
- jq
- curl
- git
- pip3
- pipx
- massdns
- subfinder
- httpx
- naabu
- gau
- anew
- puredns
- uro
- dirsearch
- Parallelized reconnaissance
- Timeout protection
- Automatic dependency installation
- Clean output organization
- Fast DNS resolution
- Reduced duplicate data
- Stable execution flow
- Optimized for long recon sessions
Example execution against a live target generated:
- live hosts
- archived URLs
- JavaScript assets
- parameterized endpoints
- status code intelligence
- historical routes
- frontend assets
- attack surface mapping data
All automatically categorized into structured reports.
- Bug Bounty Reconnaissance
- Red Team Operations
- External Attack Surface Mapping
- VAPT Automation
- Web Enumeration
- Endpoint Discovery
- Asset Intelligence Gathering
- Parameter Discovery
- JavaScript Recon
- Initial Target Profiling
This framework is intended strictly for:
- authorized security testing
- educational research
- legal reconnaissance operations
Unauthorized use against systems you do not own or have permission to test may violate laws and regulations.
The developer assumes no liability for misuse.
Pull requests, improvements, and offensive feature ideas are welcome.
To contribute:
1. Fork the repository
2. Create a feature branch
3. Commit changes
4. Push updates
5. Open a pull requestMIT License © Max
MAX • 2026 Edition
Offensive Security • Recon Automation • Attack Surface Intelligence
"The quieter the recon, the louder the impact."




