AISEC - Advanced AI-Powered Security Scanner

SYSTEM STATUS MONITOR

AI_ENGINE_1 (GPT-4o) [ONLINE]

AI_ENGINE_2 (Claude) [ONLINE]

AI_ENGINE_3 (Mixtral) [ONLINE]

EXPLOIT_DATABASE [SYNCHRONIZED]

VULNERABILITY_SCANNER [ARMED]

WAF_BYPASS_MODULE [STANDBY]

ZERO_DAY_DETECTOR [HUNTING]

PAYLOAD_GENERATOR [READY]

RECON_ENGINE [ACTIVE]

ACTIVE SECURITY PROCESSES

PID 1337 universal_exploit_brain CPU 45% [SCANNING]

PID 1338 autonomous_exploitation CPU 32% [READY]

PID 1339 attack_chain_builder CPU 28% [ANALYZING]

PID 1340 ai_decision_engine CPU 67% [THINKING]

PID 1341 report_generator CPU 12% [IDLE]

PID 1342 performance_optimizer CPU 89% [OPTIMIZING]

REAL-TIME SCAN OUTPUT

Initializing AISEC scanner...

Loaded 50+ attack modules

AI engines connected and operational

Starting platform detection...

Detected: WordPress 6.1.1, Laravel 9.x, Spring Boot 2.7

Fingerprinting web technologies...

Found: PHP 8.1, MySQL 8.0, Apache 2.4

WAF detected: Cloudflare - initiating bypass techniques

Fuzzing for hidden endpoints...

CRITICAL: Found exposed .env file at /backup/.env

CRITICAL: GraphQL introspection enabled

Discovered admin panel: /wp-admin/ (unprotected)

Testing authentication mechanisms...

CRITICAL: SQL injection in parameter 'id'

Building exploitation chain...

Chain: SSRF → AWS Metadata → IAM Credentials

AI analyzing attack vectors...

PROCESS: Universal Exploit Brain

MODULE: Platform detection engine active
STATUS: Identifying WordPress, Laravel, phpMyAdmin, Spring Boot, Django
CAPABILITY: Zero-day hunting through intelligent fuzzing
THREADS: 50 concurrent detection processes
MEMORY: 2.3GB allocated for pattern matching
OUTPUT: Real-time vulnerability correlation

PROCESS: Autonomous Exploitation Engine

MODULE: Active exploitation framework loaded
STATUS: Generating reverse shells and data extraction payloads
CAPABILITY: Advanced WAF bypass (double encoding, unicode, method tampering)
THREADS: 25 exploitation attempts in parallel
MEMORY: 1.8GB for payload generation
OUTPUT: Proof-of-concept exploits with impact demonstration

PROCESS: Intelligent Attack Chains

MODULE: Multi-stage attack orchestrator
STATUS: Building complex exploitation paths
CHAINS: Environment→Credentials→Admin→RCE | SSRF→Metadata→IAM→Takeover
THREADS: 15 chain builders active
MEMORY: 1.2GB for path analysis
OUTPUT: Automated kill chains with maximum impact

PROCESS: AI Decision Engine

MODULE: Multi-model AI reasoning system
STATUS: GPT-4o, Claude, and Mixtral engines synchronized
CAPABILITY: Adaptive penetration testing strategies
THREADS: 3 AI models running in consensus
MEMORY: 4.5GB for model inference
OUTPUT: Human-like security testing decisions