🔥 VIP SQLi Scanner

Advanced Edition · v4.0

PROFESSIONAL SQL INJECTION DETECTION & EXPLOITATION TRIAGE FRAMEWORK

🔗 GitHub · Website · Report Bug

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📖 Table of Contents

• Overview
• Features
• Installation
• Quick Start
• Usage Guide
• Enterprise Dashboard
• Export & Reporting
• How It Works
• Architecture
• Upcoming Features
• Legal Notice

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🎯 Overview

VIP SQLi Scanner is a next-generation, high-performance security framework for automated SQL Injection discovery and triage. Built for professional penetration testers, bug bounty hunters, and enterprise security teams.

v4.0 introduces Team Workspaces, Threat Intelligence enrichment, Scan Templates, Webhook integrations, Scan Comparison/Diff, and a fully upgraded Cyberpunk dashboard with GitHub OAuth.

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✨ Features

🔍 Advanced Detection Engine

Technique	Description	Since
Error-Based	100+ SQL error signatures across MySQL, PG, Oracle, MSSQL, SQLite, DB2	v1.0
Time-Based Blind	High-accuracy detection with automated WAF bypass	v2.0
Boolean-Based Blind	Precision logic-pair testing with response diff analysis	v3.0
ML Scoring	Random Forest + XGBoost ensemble to qualify findings	v3.0
Union-Based	Column enumeration and data extraction detection	v4.0
Stacked Queries	Multi-statement injection detection	v4.0

📈 Enterprise Dashboard (v4.0)

• Cyberpunk Glassmorphism UI — Real-time visualization with premium aesthetics
• GitHub OAuth SSO — Secure team-based security operations
• Team Workspaces — Collaborative scanning with role-based access control
• Distributed Nodes — Register and monitor external scan nodes for massive scalability
• Real-time WebSocket Feed — Live vulnerability updates as findings are discovered
• Scan Templates — Save and reuse scan configurations (Quick, Thorough, Stealth, CI/CD)

🧠 ML Intelligence

• Dual-Model Ensemble: Random Forest + XGBoost for maximum accuracy
• Confidence Scoring: Per-result confidence metrics (0–1)
• Auto-Training: Continuously improves from verified scan results
• False Positive Reduction: Intelligent noise filtering

📊 Professional Export Formats

Format	Description
SARIF v2.1.0	GitHub Advanced Security integration
PDF	Executive reports with CVSS scoring
HTML	Beautiful visual reports with Bootstrap
JSON	Structured data for SIEM/API integration
CSV	Spreadsheet-ready bulk export
XML	Enterprise system integration
Markdown	Documentation-ready reports

🛡️ Smart Triage System

• Rule #0 Skip: Automatically excludes 60+ static asset types to maximize speed
• Risk Assessment: Analyzes 15+ high-risk extensions and 60+ sensitive parameters
• WAF Detection & Bypass: Identifies WAF type and applies sophisticated encoding
• Domain Filter: Auto-organizes results into safeurl.txt / vulnurl.txt per domain

🔗 Integrations (v4.0)

• Slack — Real-time vulnerability notifications to your SOC channel
• Jira — Auto-create tickets for critical findings
• AWS S3 — Cloud report storage and archival
• Webhooks — Custom HTTP callbacks for any system
• GitHub Advanced Security — SARIF upload for code scanning alerts

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📦 Installation

Prerequisites

• Python 3.9+
• pip

Setup

# 1. Clone the repository
git clone https://github.com/viphacker100/VIPSQLi.git
cd VIPSQLi

# 2. (Recommended) Create a virtual environment
python -m venv .venv
Set-ExecutionPolicy -ExecutionPolicy Bypass -Scope Process #windows
.venv\Scripts\activate        # Windows
# source .venv/bin/activate   # Linux/macOS   

# 3. Install dependencies
pip install -r requirements.txt

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🚀 Quick Start

Single URL Scan (30 seconds)

python sqli_scanner_advanced.py -u "http://example.com/product.php?id=1" --boolean --ml

Batch Scan with All Detection Methods

python sqli_scanner_advanced.py -l urls.txt -t 20 --boolean --time-based --ml --sarif report.sarif

Launch the Enterprise Dashboard

python dashboard/app.py
# Open: http://localhost:5000

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📚 Usage Guide

Core Command-Line Options

Flag	Description	Default
-u, --url	Single target URL	—
-l, --list	File containing URLs (one per line)	—
-e, --exclude	Exclusion patterns file	—
-p, --payloads	Custom payload file	payloads.txt
-o, --output	JSON output file	—
--csv	CSV output file	—
--html	HTML report file	—
--pdf	PDF report file	—
--sarif	SARIF v2.1.0 output file	—
-t, --threads	Thread count	5
--async	Enable async scanning	False
--max-concurrent	Max concurrent async requests	20
--boolean	Boolean-based blind detection	False
--time-based	Time-based blind detection	False
--ml	ML-based confidence scoring	False
-k, --insecure	Skip SSL verification	False
--profile	Scan profile: quick, thorough, stealth, aggressive	—
--filter	Organize results by domain	False
--resume	Resume interrupted scan	False
--proxy	Proxy URL	—
--headers	Custom headers JSON file	—
-v, --verbose	Real-time URL status output	False
-i, --interactive	Guided interactive mode	False
--dashboard	Launch web dashboard	False
--train	Train ML model on scan data	False

Scanning Examples

# ─── High-Speed Async ─────────────────────────────────────────
python sqli_scanner_advanced.py -l urls.txt --async --max-concurrent 30

# ─── Full Detection Suite ─────────────────────────────────────
python sqli_scanner_advanced.py -l urls.txt --boolean --time-based --ml -t 10 -v

# ─── Professional Pentest ─────────────────────────────────────
python sqli_scanner_advanced.py \
  -l urls.txt \
  -e exclusions.txt \
  -p payloads.txt \
  --async --max-concurrent 25 \
  --boolean --time-based --ml \
  -o results.json --csv results.csv --html report.html \
  -v

# ─── Stealth Scan ─────────────────────────────────────────────
python sqli_scanner_advanced.py -l urls.txt --threads 2 --time-based --profile stealth

# ─── CI/CD Pipeline ───────────────────────────────────────────
python sqli_scanner_advanced.py -l targets.txt --boolean --ml --sarif scan.sarif --no-color

# ─── Resume Interrupted Scan ──────────────────────────────────
python sqli_scanner_advanced.py --resume

# ─── Authenticated Scan with Proxy ───────────────────────────
python sqli_scanner_advanced.py -u "http://target.com" --headers headers.json --proxy http://127.0.0.1:8080

# ─── Domain Filter (Organize by Domain) ──────────────────────
python sqli_scanner_advanced.py -l urls.txt --async --filter -v

# ─── Interactive Mode (Beginner-Friendly) ────────────────────
python sqli_scanner_advanced.py -i

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🖥️ Enterprise Web Dashboard (v4.0)

The scanner features a high-performance Cyberpunk-themed dashboard for managing complex operations.

python dashboard/app.py
# Access: http://localhost:5000

Dashboard Features

Feature	Description
Command Center	Sidebar control for running scans in real-time
Live Data Feed	WebSocket-powered vulnerability stream
Team Workspaces	Multi-user collaborative scanning
Scan Templates	Save/load reusable scan configurations
Distributed Nodes	Manage remote scanning infrastructure
GitHub SSO	Secure OAuth 2.0 team authentication
Analytics	Historical charts and trend analysis
Webhook Manager	Configure outbound notifications

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📊 Export & Reporting

# SARIF (GitHub Advanced Security)
python sqli_scanner_advanced.py -l urls.txt --sarif scan_results.sarif

# Professional PDF Report
python sqli_scanner_advanced.py -l urls.txt --pdf report.pdf

# Full Export Suite
python sqli_scanner_advanced.py -l urls.txt -o results.json --csv results.csv --html report.html

# Cloud Upload (S3)
python sqli_scanner_advanced.py -l urls.txt --s3

# Slack Notification
python sqli_scanner_advanced.py -l urls.txt --slack

# Jira Ticket Creation
python sqli_scanner_advanced.py -l urls.txt --jira

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🧠 How It Works

The 30-Second Framework

URL Input
   │
   ▼
Rule #0: Static File? ──YES──► SKIP (0% SQLi chance)
   │ NO
   ▼
Step 1: File type & path analysis (5s)
   │
   ▼
Step 2: Parameter name risk scoring (10s)
   │
   ▼
Step 3: Safe behavior baseline (10s)
   │
   ▼
Step 4: Error signature scan + Boolean/Time-Based (5s)
   │
   ▼
ML Scoring → Confidence Metric → Final Verdict

Decision Logic

Check	Result	Action
Static file	✅	Skip (0% SQLi)
Safe path	✅	Skip
Low-risk params only	✅	Skip
Same response	✅	Safe
SQL error detected	🚨	REAL SQLi
Boolean diff > threshold	🚨	BLIND SQLi
Response delay > threshold	🚨	TIME-BASED SQLi
ML confidence < 0.5	⚠️	Low confidence
Content changed	⚠️	Investigate

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🏗️ Architecture

VIPSQLi/
├── sqli_scanner_advanced.py    # Main CLI entry point
├── sqli_scanner.py             # Basic scanner (legacy)
│
├── core/                       # Core scanning engine
│   ├── scanner.py              # Async/threaded scan orchestrator
│   └── detector.py             # Detection logic (error/boolean/time)
│
├── ml/                         # Machine Learning engine
│   ├── detector.py             # ML prediction interface
│   ├── features.py             # Feature extraction
│   ├── trainer.py              # Model training pipeline
│   └── models/                 # Saved model files
│
├── dashboard/                  # Enterprise web dashboard
│   ├── app.py                  # Flask + Socket.IO server
│   ├── static/                 # Frontend assets
│   └── templates/              # Jinja2 HTML templates
│
├── database/                   # Database layer
│   └── models.py               # SQLAlchemy ORM models (v4.0)
│
├── plugins/                    # Extensible plugin system
│   ├── base.py                 # Plugin base class
│   ├── manager.py              # Plugin loader
│   └── builtin/                # Built-in plugins
│
├── utils/                      # Utility modules
│   ├── report_gen.py           # Report generation (PDF/HTML/SARIF)
│   ├── waf_evasion.py          # WAF bypass techniques
│   ├── rate_limiter.py         # Request rate limiting
│   ├── logger.py               # Structured logging
│   └── cloud_manager.py        # S3/Slack/Jira integrations
│
├── config/                     # Configuration
│   ├── default.yaml            # Default settings
│   └── profiles/               # Scan profiles
│
├── payloads.txt                # SQLi payload library
├── exclusions.txt              # Exclusion patterns (1200+)
└── requirements.txt            # Python dependencies

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🔮 Upcoming Features (v5.0)

Roadmap — Features currently in active development or planned for the next major release.

🤖 AI-Powered Analysis

• LLM-Assisted Triage — GPT/Gemini integration for natural language vulnerability explanations
• Auto-Remediation Suggestions — Context-aware code fix recommendations
• Smart Payload Generation — AI-generated custom payloads based on target fingerprint
• Anomaly Detection — Unsupervised ML to detect unusual response patterns

🌐 Extended Attack Surface

• GraphQL Injection — Detect SQLi via GraphQL query parameters
• NoSQL Injection — MongoDB, CouchDB, Redis injection detection
• ORM Injection — Hibernate, Sequelize, Django ORM bypass detection
• Second-Order SQLi — Stored payload detection via multi-step analysis
• JSON/XML Body Injection — POST body parameter fuzzing

🏢 Enterprise & Team Features

• SSO/SAML Integration — Enterprise identity provider support
• RBAC Policies — Fine-grained permission management
• Audit Compliance Reports — OWASP Top 10, PCI-DSS, ISO 27001 mapping
• Multi-Tenant SaaS Mode — Isolated workspaces per organization
• Custom Branding — White-label dashboard for MSPs

🔄 CI/CD & DevSecOps

• GitHub Actions Plugin — Native GitHub Actions integration
• GitLab CI Template — Pre-built GitLab CI/CD pipeline
• Jenkins Plugin — Jenkins pipeline step
• Pre-commit Hook — Block commits with vulnerable endpoints
• DAST Integration — Connect with OWASP ZAP, Burp Suite

📡 Threat Intelligence

• CVE Auto-Enrichment — Auto-link findings to NVD/CVE database
• Exploit-DB Integration — Check if payloads match known exploits
• IP Reputation Scoring — Flag targets with known malicious history
• Community Threat Feed — Shared payload/signature database

🎨 Dashboard Enhancements

• 3D Network Graph — Interactive visualization of scan topology
• Dark/Light Theme Toggle — User-selectable themes
• Mobile App — React Native companion app for monitoring
• Custom Dashboard Widgets — Drag-and-drop analytics panels
• PDF Scheduled Reports — Auto-email weekly/monthly summaries

⚡ Performance

• Distributed Scan Engine — Kubernetes-native horizontal scaling
• Redis Queue Backend — Celery + Redis for job distribution
• Scan Result Streaming — gRPC-based real-time result streaming
• Browser-Based Scanning — Playwright integration for JS-heavy apps

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📊 Detection Coverage

Category	Count
Static file extensions (skip)	60+
High-risk file extensions	15+
Safe directory paths	25+
High-risk parameters	60+
Low-risk parameters	40+
SQL error signatures	100+
Exclusion patterns	1,200+
WAF signatures	30+
SQLi payload variants	500+

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🛠️ Requirements

• Python: 3.9+
• Core: requests, aiohttp, rich, colorama
• ML: scikit-learn, xgboost, numpy, pandas
• Dashboard: flask, flask-socketio, sqlalchemy
• Reports: reportlab, jinja2

See requirements.txt for the complete dependency list.

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⚠️ Legal Notice

This tool is for educational and authorized security testing only. Always obtain explicit written permission before testing any system you do not own. The authors assume no liability for misuse or damage caused by this tool. Use responsibly and ethically.

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📚 Documentation

Document	Description
API Reference	Full REST API and Socket.IO event documentation
Commands Guide	Complete CLI flags and usage examples
Quick Start	Get scanning in under 5 minutes
Feature Matrix	Implementation status of every feature
Functionality Report	Detailed report on all v4.0 capabilities
Changelog	Version history and release notes
Upcoming Features	v5.0 roadmap and planned enhancements
Contributing	Guidelines for contributing to the project
Security Policy	Responsible disclosure and vulnerability reporting

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📝 License

MIT License — see LICENSE for full text. For educational and authorized security testing only.

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Version: 4.0 (Advanced Edition)
Status: Production Ready
Quality: Enterprise Grade · Cyberpunk Edition

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🔥 Powered by the 30-Second Framework

EST 2026 · viphacker100 (Aryan Ahirwar)