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Case Studies

Security Engineering Projects

Detailed walkthroughs and functional scripts showing custom offensive tools, WAF defense setups, and Python automation routines.

Case Study 01

Full Stack Web Development

High-Performance Secure Next.js Web Platform

Engineered a scalable, full-stack Next.js 16 application featuring Server-Side Rendering (SSR), TypeScript, Tailwind CSS, REST APIs, and integrated zero-trust security controls.

Lighthouse Performance Score99/100
Sub-Second Page Render Time< 250ms TTFB
app/api/secure-route/route.ts
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// Next.js Server Route - High Performance & Security
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import { NextResponse } from 'next/server';
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import { validateCsrf, rateLimiter } from '@/lib/security';
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export async function POST(req: Request) {
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  if (!await rateLimiter(req)) return NextResponse.json({ error: 'Limit' }, { status: 429 });
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  const data = await req.json();
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  return NextResponse.json({ success: true, payload: data });
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}
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// STATUS: 200 OK - FULL-STACK ENGINE OPERATIONAL
Case Study 02
Red Teaming & VAPT
Enterprise Infrastructure Vulnerability Assessment
Executed a comprehensive, full-perimeter penetration test across a distributed corporate network to uncover architectural gaps and zero-day exposures prior to real-world deployment.
Critical Findings Patched42 Zero-Days
Attack Surface Window Reduced-85% Window
vapt_session.log
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> Initializing automated recon scanning cluster...
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[SUCCESS] Bound to adapter interface 0.0.0.0:8000
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> Auditing network perimeter target scope: 500+ endpoints
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  [WARN] Insecure SSL routing configuration discovered at gateway.
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  [ALERT] Buffer memory allocation flaw detected in cluster core API.
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> Exploitation vector validated. Deploying patch configuration...
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[SUCCESS] Security filters verified. Gateway secure.
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// NETWORK SECURED - COMPLIANCE STATUS: 100% SECURE
Case Study 02
OSINT & Threat Intel
Passive Reconnaissance & Target Asset Discovery
Harvested deep-web intelligence channels and executed detailed external footprint profiling to map active threats, shielding high-value target assets against vectors scanning.
Intelligence Channels Indexed1,200+ Streams
Predictive Intelligence Accuracy92% Accuracy
threat_intel_scanner.py
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# Asynchronous Intel Scraper - Scanning dark & deep web
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import osint_tracker, threat_intel, dns_mapper
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async def monitor_threats():
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    channels = await osint_tracker.connect_feeds(streams=1200)
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    async for alert in channels.listen_for_indicators():
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        if alert.confidence > 0.90:
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            print(f'⚡ ALERT: Host targeted: {alert.target}')
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            await threat_intel.compile_report(alert)
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# STATUS: Active listening mode. Accuracy: 92% (High)
Case Study 03
WordPress Development
Secure Enterprise CMS Hosting Architecture
Architected highly scalable WordPress environments while building custom security modules to block brute-force attempts and server injections directly at the core execution layer.
Attempts Deflected Daily1M+ Blocks
Server Response Uptime Status99.99% Uptime
wp-config-hardened.php
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<?php
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/** Hardened core security parameters and WAF hooks */
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define('DISALLOW_FILE_EDIT', true);
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define('FORCE_SSL_ADMIN', true);
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// Intercepting xmlrpc.php and brute force actions...
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if (strpos($_SERVER['REQUEST_URI'], 'xmlrpc.php') !== false) {
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    header('HTTP/1.1 403 Forbidden');
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    die('Error: Execution disallowed.');
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}
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// WAF INTERCEPT STATUS: 1,042,391 BAD PAYLOADS SHIELDED TODAY
Case Study 04
Offensive Python Development
Asynchronous System Automation & Verification Framework
Engineered customized, multi-threaded asynchronous Python utilities designed to audit cloud services and verify large-scale server infrastructures with zero manual overhead.
Cron Routines Active25+ Pipelines
Engineering Workflow Savings70% Time Saved
sys_automation_core.py
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# Parallel automation scanner core engine
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import asyncio, aiohttp, system_stats
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async def check_endpoint(session, url):
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    async with session.get(url) as response:
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        data = await response.json()
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        return data['status'] == 'healthy'
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async def audit_grid():
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    results = await asyncio.gather(*[check_endpoint(s, u) for u in grid])
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    print(f'[SCAN DONE] Delta: {system_stats.delta()}s')