AI-Native Security Platform
Security testing that thinks
SCAFU coordinates 33 specialized scanners and 16+ intelligent agents to discover vulnerabilities traditional tools miss. Adapts attacks in real-time based on your tech stack. Privacy-first—never sends targets to cloud.
Platform Preview
The interface
How It Works
Intelligence that adapts
Context-Aware Discovery
Pre-scan reconnaissance identifies your tech stack, cloud provider, and security controls. Then generates framework-specific attack vectors that match what it found.
Multi-Agent Coordination
16+ specialized agents work together like an expert security team. PreScan agents gather intel, payload generators craft attacks, analysis agents validate findings.
Privacy-First Architecture
Sensitive data (targets, vulnerabilities) never leaves your infrastructure. Local AI models handle security-critical tasks. Cloud AI only for generic summaries.
Intelligent Validation
AI-powered analysis eliminates 70% of false positives. Calculates real exploitation probability and business impact for every finding.
Automated Remediation
Generates framework-specific fix code, not generic advice. React app? Get JSX patches. Laravel backend? Get Eloquent ORM fixes.
Real-Time Adaptation
Detects React + Cloudflare WAF? Generates JSX-specific payloads with evasion techniques. Identifies AWS infrastructure? Tests cloud metadata endpoints.
Technology
Built for production
- Next.js 16 + React 19
- Real-time WebSocket updates
- TailwindCSS styling
- FastAPI (Python)
- Async/await architecture
- Parallel scanner execution
- Ollama (local models)
- Multi-model orchestration
- Smart cloud/local routing
- Docker containerized
- Self-hosted or cloud
- Tor + proxy rotation
Use Cases
Who uses SCAFU
Bug Bounty Hunters
Faster vulnerability discovery with AI-assisted exploitation path finding. Real-time findings feed during live testing. Discover 3-5 step exploit chains worth $10k-$50k bounties.
Security Teams
Continuous vulnerability assessment with automated compliance reporting. Reduced false positive noise means teams focus on real threats. 24/7 monitoring without manual intervention.
DevSecOps
CI/CD pipeline integration with shift-left security testing. Developer-friendly remediation guidance with actual code fixes. Catch vulnerabilities before they reach production.
Get Started
Try SCAFU today
Open source and privacy-first. Deploy on your infrastructure in minutes.
Frequently Asked Questions
Common questions
What is SCAFU and how does it differ from traditional security scanners?
SCAFU is an AI-native security testing platform that coordinates 33 specialized scanners through 16+ intelligent agents. Unlike traditional scanners that run sequentially with static rulesets, SCAFU agents analyze your tech stack in real-time and generate context-aware attack vectors specific to your infrastructure.
Does SCAFU send my scan data to the cloud?
No. SCAFU uses a privacy-first architecture where sensitive data never leaves your infrastructure. Local AI models handle all security-critical analysis. Cloud-based models are only used for generic text summarization with no sensitive context attached.
What frameworks does SCAFU generate fixes for?
SCAFU generates framework-specific remediation code for React, Next.js, Laravel, Django, Express, FastAPI, and Spring Boot. Fix code matches your detected framework version and coding patterns.
Can SCAFU integrate into CI/CD pipelines?
Yes. SCAFU provides Docker-containerized deployment that integrates with GitHub Actions, GitLab CI, Jenkins, and other pipeline tools. It supports shift-left security testing with configurable severity thresholds that can gate deployments.
How does multi-agent coordination improve security testing?
Each agent specializes in a domain: PreScan agents gather reconnaissance, payload generators craft framework-specific attacks, and analysis agents validate findings. Agents share context through a coordination layer, enabling discovery of multi-step exploit chains.
Is SCAFU suitable for bug bounty hunting?
Yes. Bug bounty hunters use SCAFU to discover multi-step exploit chains. The platform's real-time findings feed and AI-assisted exploitation path discovery accelerates vulnerability research significantly compared to manual testing.