AISEC - Advanced AI-Powered Security Scanner

SYSTEM INITIALIZATION

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  [AI-POWERED SECURITY SCANNER v2.0.0]
  [ENGINE: Claude Anthropic + Custom Models]
  [STATUS: OPERATIONAL]

ATTACK MODULES LOADED

sqli SQL Injection (Union, Blind, Time-based)

xss Cross-Site Scripting (Reflected, Stored, DOM)

ssrf Server-Side Request Forgery

lfi Local File Inclusion / Path Traversal

auth_bypass Authentication & Authorization Bypass

idor Insecure Direct Object Reference

jwt JWT Token Attacks (None alg, Key Confusion)

ssti Server-Side Template Injection

TECHNOLOGIES DETECTED

AISEC automatically fingerprints your stack:

WordPress Laravel React Node.js Django Spring Boot PHP MySQL PostgreSQL MongoDB Redis Nginx Apache Cloudflare AWS GraphQL

+ Platform-specific attacks auto-enabled based on detection

22+

Attack Modules

Decision Engine

~5min

Avg Scan Time

NVD

CVE Database

VULNERABILITY DISCOVERY EXAMPLES

CRITICAL

Remote Code Execution via SSTI

URL: /api/template/render

Payload: {{constructor.constructor('return process')().exit()}}

Impact: Full server compromise, arbitrary code execution

CRITICAL

JWT None Algorithm Bypass

Endpoint: /api/auth/verify

Payload: {"alg":"none","typ":"JWT"}

Impact: Authentication bypass, admin access

HIGH

SSRF to AWS Metadata

URL: /api/fetch?url=http://169.254.169.254/

Leaked: IAM credentials, instance role ARN

Impact: AWS account compromise, lateral movement

HIGH

GraphQL Introspection + IDOR

Query: {__schema{types{name,fields{name}}}}

Found: user(id:ANY) returns all user data

Impact: Mass data exfiltration, PII exposure

HIGH

Blind SQL Injection (Time-based)

Parameter: /search?q=test' AND SLEEP(5)--

Response delta: 5.03s confirmed

Impact: Database extraction, potential RCE

MEDIUM

Exposed Git Repository

URL: /.git/config

Contains: Remote URLs, commit history, source code

Impact: Source code disclosure, credential mining

LIVE SCAN OUTPUT EXAMPLE

[*] Initializing AISEC v2.0...

[+] Loaded 22 attack modules

[*] Phase 1: Reconnaissance starting...

[+] DNS resolved: 4 A records, 2 MX records

[*] Fingerprinting technologies...

[+] Detected: WordPress 6.4.2, PHP 8.1, MySQL

[!] WordPress detected - enabling wp-specific attacks

[*] Crawling site structure...

[+] Found 47 endpoints, 12 forms, 3 API routes

[*] Phase 2: Vulnerability scanning...

[*] AI analyzing attack surface...

[!] CRITICAL: SQL Injection found in /api/users?id=

[!] HIGH: Exposed .env file at /.env

[*] Testing XSS vectors...

[!] MEDIUM: Reflected XSS in search parameter

[*] Checking security headers...

[+] Scan complete: 1 critical, 1 high, 2 medium, 3 low

AI-Driven Attack Selection

Unlike traditional scanners that run every check blindly, AISEC's AI engine analyzes your target first.

→ Detects technologies (WordPress, Laravel, etc.)
→ Identifies likely vulnerability classes
→ Prioritizes high-impact attacks
→ Chains findings for real-world exploitation paths

Result: Faster scans, fewer false positives, actual exploitable findings.

Comprehensive Attack Coverage

22+ attack modules covering OWASP Top 10 and beyond:

→ Injection: SQLi, XSS, SSTI, XXE, Command Injection
→ Auth: JWT attacks, session hijacking, auth bypass
→ Access: IDOR, privilege escalation, CORS misconfiguration
→ Infrastructure: SSRF, open redirects, security headers
→ Platform: WordPress, GraphQL, file upload bypass

Each module uses AI to adapt payloads to your specific stack.

Real Reconnaissance

Every scan starts with thorough recon:

→ DNS enumeration (A, AAAA, MX, TXT, NS records)
→ Subdomain discovery
→ Technology fingerprinting (Wappalyzer-style)
→ JavaScript analysis for API endpoints & secrets
→ Form extraction and parameter mapping
→ Security header analysis

AI uses recon data to make intelligent attack decisions.

Actionable Reports

Every finding includes:

→ Exact URL and parameter affected
→ Working proof-of-concept payload
→ Evidence (response snippet, timing data)
→ CVSS score and severity rating
→ Step-by-step remediation guidance
→ References to CWE/CVE where applicable

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