66 custom-built assessment engines. Unified workflow. AI-powered correlation and triage. Server-side scan logic with zero client-side exposure. Standards-aligned reporting across PCI DSS 4.0, NIST CSF 2.0, and CIS Controls v8.
80 dynamic modules across 12 attack phases. 5 difficulty tiers from Script Kiddie to Government. Ranked progression, AI-scored missions, and real sandbox environments.
Enter Training Playground66 custom-built engines working in concert. Each phase feeds context forward — discovered subdomains become scan targets, open ports feed service detection, and AI correlates findings across every engine for stronger confidence.
Subdomain enumeration, DNS intelligence, WHOIS profiling, technology fingerprinting, WAF detection, and email security analysis. Map the entire attack surface before firing a single packet.
High-speed port scanning with intelligent service detection and SSL/TLS cipher analysis. Identify exactly what's running, what version, and whether it's exploitable.
Intelligent spidering, directory discovery, parameter fuzzing, API detection, and JavaScript analysis for secrets, endpoints, and hidden functionality.
CVE detection, header analysis, CORS/CSP validation, cookie security, CMS scanning, cloud misconfiguration detection, subdomain takeover, and data exposure checks.
OS enumeration, application inventory, driver scanning, patch auditing, CVE cross-reference against 200K+ entries, config auditing, and service hardening analysis.
Authentication mechanism testing, session management analysis, token entropy measurement, and CSRF validation across the entire application surface.
15-step exploitation pipeline: sudo/SUID/capabilities escalation, kernel CVE exploitation, Docker escape, credential harvesting, SSH attacks, and service exploitation with live results.
AI correlates findings across all engines, validates severity, identifies false positives, generates exploitation assessments, and produces executive-ready summaries automatically.
Enterprise-grade network reconnaissance — discovers all devices, profiles hosts (ports, services, vendor), inspects routers, CCTV cameras, IoT devices, maps lateral movement paths, validates vulnerabilities, and builds full network topology.
Every engine listed below runs natively within KingScan as part of a unified assessment pipeline. Findings are correlated across engines for stronger confidence in results.
Each phase feeds context forward. Discovered subdomains become port scan targets. Open ports feed service detection. Everything is correlated by AI.
Every tool a penetration tester needs, unified in a single platform with shared context, real-time streaming, and built-in reporting.
Deploy on any network. Single Python file, zero dependencies. Authenticated tunnel back to KingScan for internal scanning, machine vulnerability assessment, and active exploitation.
Real-time WebSocket streaming of scan progress, finding discovery, and exploitation steps. Watch every technique as it runs.
Craft and replay requests with full header control. Test auth bypasses, injection points, and APIs with precision.
Automated payload injection with position markers. Brute force parameters, fuzz inputs, and test for injection vulnerabilities at scale.
Base64, URL encoding, hex, HTML entities, JWT decoding, and hash generation. Transform data between formats instantly.
OWASP, PCI-DSS, CIS, and NIST-aligned reports with executive summaries, technical details, remediation guidance, and scan diff comparisons.
Custom payloads for every scan type. Dynamic generation based on target OS, services, and discovered vulnerabilities. All payloads transmitted server-to-agent via encrypted API.
Statistical analysis of token randomness, session ID prediction testing, and cryptographic weakness detection across authentication tokens.
Out-of-band interaction detection for blind SSRF, blind XSS, DNS exfiltration, and callback-based vulnerability confirmation.
66 purpose-built assessment engines running natively within a unified platform. Server-side architecture keeps all scan logic, payloads, and analysis modules protected and centrally managed.
All scan logic, exploit payloads, and feature code lives on the server and is transmitted to the Connector via authenticated API calls. Nothing is stored client-side, protecting against reverse engineering.
Every API call is authenticated with JWT tokens. Role-based access control (Admin, Operator, Viewer) ensures users only access what they're authorized to. Connector requires a one-time access code to bind.
AI triage correlates findings across all 66 engines, eliminates duplicates, validates severity, flags potential false positives, and generates exploitation assessments — replacing hours of manual analysis.
Every finding is cross-verified across independent engines. A vulnerability confirmed by multiple engines carries a corroboration score that strengthens finding confidence and reduces noise.
Every scan, finding, exploit attempt, and user action is logged with timestamps, user attribution, and full context. Compliance-ready audit trails for OWASP, PCI-DSS, CIS, and NIST frameworks.
66 assessment engines. Multi-phase network infrastructure scan. Cross-platform machine vulnerability audit. Active exploitation with stealth levels. AI-powered correlation and triage. Full audit trail. One platform.