Caution
This repository is currently offline for maintenance and architectural upgrades. Access to the core engine is restricted until the next stable release.
Evasion is a high-performance, modular security framework engineered for deep-vein reconnaissance, network traffic analysis, and automated risk auditing. It is designed to transform complex network data into actionable security intelligence for Red-Team operators and Bug Bounty hunters.
The Evasion architecture is split into specialized units for maximum operational efficiency:
recon.py(Active Intelligence): High-velocity asset discovery, port mapping, and service identification.traffic_analyzer.py(Live Sniffer): Real-time packet inspection to detect unencrypted data exfiltration and malformed headers.packet_engine.py(Injection): Custom TCP/UDP payload crafter for protocol stress-testing and PoC generation.risk.py(Quantification): Dynamic risk-scoring engine that correlates findings with the latest CVE databases.fingerprint.py(WAF Detection): Analyzes HTTP responses to identify active firewalls (Cloudflare, Akamai, etc.) and suggest evasion tactics.
- Network Traffic Analysis – Monitor live data flows to identify insecure communication patterns.
- Automated OSINT Integration – Passive discovery via Shodan and Censys APIs to map attack surfaces without direct interaction.
- WAF/IPS Evasion – Randomized timing and header manipulation to bypass modern security guards.
- Taint Analysis Logic – Deep-scan capabilities to identify IDOR and BOLA vulnerabilities in API endpoints.
- Stealth Ops – Ghost-mode integration using randomized User-Agents and rotating proxy support.
Evasion/
│
├── core/
│ ├── recon.py # Network Discovery
│ ├── traffic.py # Packet Analysis
│ └── injector.py # Packet Sender Engine
│
├── modules/
│ ├── risk_assessment.py # Scoring Logic
│ └── fingerprint.py # WAF/IPS Detection
│
├── data/
│ └── db.py # Persistence Layer
│
└── main.py # Command Center
Note: Installation is currently disabled during the shutdown period.
- Clone the Repo:
git clone (https://github.com/index-oss/Evasion.git)
- Install Dependencies:
pip install scapy cloudscraper beautifulsoup4 asyncio
- ML Anomaly Detection: Implementing AI to distinguish between normal traffic and malicious patterns.
- Automated PDF Reporting: Professional-grade report generation for stakeholders.
- Distributed Scanning: Multi-node support for large-scale infrastructure audits.
This framework is strictly for authorized penetration testing and educational purposes. The developer assumes no liability for misuse. Build secure. Audit early. Trust nothing. Developed by index-oss | 2026 Security Initiative