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Dream-Drafted/README.md

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PUNEET CHANDRA CHAUDHARY

Cybersecurity Researcher · Penetration Tester · Bug Hunter

📍 Gorakhpur, Uttar Pradesh, India 🇮🇳

Work Email GitHub Instagram ORCID


Research snapshot: 8+ years self-taught, 10 verified findings, 2 case studies, 9.1 max fixed CVSS, 27-page audit report

🔐 Identity

I'm a hands-on cybersecurity researcher and penetration tester. I find real vulnerabilities in production systems, verify every one by hand, and report them the responsible way. By day I teach Biology (B.Sc. Zoology); security is the discipline I built myself, 8 years of self-taught, hands-on work with no formal certification. Everything documented here was learned by doing it, not by reading about it.

I care about offensive-defensive development by understanding how an attack works closely enough to build a real defense from it and every tool I release stays free, needing no paid API and no money to use, because that's the wall I hit when I was learning.


🎯 Research Focus

🌐 Web App Security IDOR · Auth Bypass · Black-box Testing

🔌 API Security Endpoint Enumeration · Zero-Auth Detection

☁️ Cloud / Firebase Admin SDK Exposure · Config Review

🏗️ Infrastructure Port/Service Enumeration · Server Hardening

Methodology: OWASP Top 10 · OWASP WSTG v4.2 · CVSS v3.1 Scoring · Responsible Disclosure Verification standard: tools for speed, my own eyes on every single finding, that's how false alarms stay near zero.



📊 Skill Proficiency

Skill proficiency chart


🛡️ Featured Research: Multi-Tenant SaaS Platform Audit

Full black-box security audit · Confidential Security Research · April 2026

Scope Detail
Target Multi-tenant attendance SaaS (PHP / JavaScript / Firebase)
User base 100+ institutions, 1000+ employees
Method Black-box — no login, no inside knowledge, started from zero
Result 10 verified vulnerabilities, reported the right way
Report 27-page written disclosure
CVSS severity distribution: 2 critical, 3 high, 4 medium, 1 low CVSS score plot for all 10 documented findings

Findings

ID Vulnerability CVSS Severity
F-01 Firebase Admin SDK private key sitting out in the open 10.0 🔴 Critical
F-02 Admin panel login could be skipped from the browser 9.8 🔴 Critical
F-03 Directory listing exposed 30+ backend PHP files 8.6 🟠 High
F-04 1365+ face photos, no login needed to view them 7.8 🟠 High
F-05 Error logs leaking server paths & dev setup 7.2 🟠 High
F-06 IDOR — anyone could pull employee attendance data 6.5 🟡 Medium
F-07 WHM root admin panel open to the public internet 6.8 🟡 Medium
F-08 FTP with no encryption + 18 open ports 5.9 🟡 Medium
F-09 30+ API endpoints with zero authentication 5.4 🟡 Medium
F-10 Missing basic HTTP security headers 3.7 🟢 Low

Calculated from the 10 documented findings: Mean CVSS: 7.17 · Median: 7.0 · Min: 3.7 · Max: 10.0

🔎 Critical findings, the full story

Firebase Admin key exposed

  • Found the RSA-2048 service-account key sitting in a public /backend/ folder
  • That one file gives full read/write access to every employee record, biometric photo, and tenant's data
  • Confirmed it live — pulled it straight off the server, no login required (HTTP 200)

Admin panel login was fake

  • The "check" only ran in the browser (localStorage). The server handed over the full admin page either way
  • One command in the browser console, under 60 seconds, and you're in as admin
  • That gets you employee PII, salaries, attendance history, and admin controls

Face photos exposed

  • 1365+ employee face photos, downloadable in bulk with a plain wget command, no login
  • This alone counts as a notifiable data breach under India's DPDP Act, 2023

Source code & server info leaking

  • Directory listing on 30+ PHP files; error logs spilling dev file paths, stack traces, even GPS/address data

IDOR

  • One dashboard endpoint returned attendance stats for any company code you typed in, no auth check at all
  • Tested against real data (24 employees); scales to every tenant on the platform

Server itself was wide open

  • Root admin panel on port 2087, 18 open ports, FTP sending passwords in plain text, unlocked LiteSpeed admin panel
⚙️ How I did it, step by step

7-step process: Recon (Nmap, WhatWeb, Katana, GoWitness) → scan ports and services → find hidden directories (FFUF, Gobuster, Dirbuster) → test the app by hand (Burp Pro) → dig into the API (curl, jq, Postman) → run an active scan (OWASP ZAP) → confirm everything live without breaking anything.

Zero to full takeover, ~15 minutes, browser + curl only, no login at any point:

  1. Find open directory listing, spot the PHP files and Firebase key (F-03)
  2. Grab the Firebase Admin key for full backend access (F-01)
  3. Pull every user record straight from the Admin SDK
  4. Flip one value in localStorage and walk into the admin panel (F-02)
  5. Hit the dashboard_stats endpoint for attendance data on any company (F-06)
  6. Browse the uploads folder, download all 1365+ face photos (F-04)
  7. Read the error logs for the DB schema, dev paths, GPS data (F-05)
  8. Firebase FCM could be abused to push fake notifications to every user
  9. WHM login was weak enough for brute-force, full server takeover (F-07)

Bottom line: Tested from March 25 to April 4, 2026. Every finding double-checked by hand. Nothing copied, changed, or kept afterward. Reportable under India's DPDP Act 2023, IT Act 2000 §43A, GDPR Article 25/32, and ISO/IEC 27001:2022.

Skills used: OWASP WSTG v4.2 testing, CVSS v3.1 scoring, starting from zero and still finding a way in, app and server-level analysis, Firebase/cloud security, handling biometric data properly, responsible disclosure, explaining risk in business terms, evidence collection that holds up for legal review.



🛡️ Case Study: Institutional Portal, Full Database Exposed

Web app security check · Confidential Security Research · Client name withheld on request

Scope Detail
Target A school/institution management portal (student & staff records, attendance, academic data, notices)
Method Logged in as a normal user, then tested the query parameters
Result Critical SQL injection, reported and fixed
Vulnerability CVSS Severity Status
SQL Injection — one user could read every other session's data 9.1 🔴 Critical ✅ Reported & Fixed
🔎 The details
  • One endpoint built its database query carelessly, letting it reach far past what it was supposed to touch
  • Any logged-in user could pull data from tables well outside their own account basically full read access to the entire database (student/staff records, academic and attendance data, internal messages)
  • Confirmed the impact with careful, targeted queries. No mass downloads, nothing kept
  • Reported the issue privately with a fix guide attached. Now patched and confirmed working
  • Nothing beyond what was needed to prove the bug was ever saved

Skills used: spotting and scoping SQL injection, understanding session/authorization boundaries, verifying impact without causing damage, explaining a serious bug clearly to a non-technical client.



🧭 Research Pipeline

9-step security research pipeline: recon, enumeration, directory discovery, manual testing, API analysis, active scanning, manual validation, evidence collection, reporting


💻 Tech Arsenal

Python PHP JavaScript Bash HTML5 CSS3 Kali Linux Burp Suite Firebase SQL PostgreSQL Docker Git

Category Go-To Tools
Recon Nmap, WhatWeb, Amass, Katana, GoWitness
Web Burp Suite Pro, OWASP ZAP
Directory Discovery Gobuster, FFUF, Dirbuster, feroxbuster, DirSearch
API curl + jq, Postman + Newman, GraphQL testing, custom IDOR scripts
Network Nmap, OpenSSL, Wireshark, proxy-chain analysis
Cloud Firebase Admin SDK review
Database SQLMap, SQL, PostgreSQL
Automation Python, Bash, custom scripting
Analysis / Reporting CVSS calculator, Shodan, Censys, WHOIS/DNS tools, ExifTool
🛠️ Automation I've built myself
  • Burp Pro workflows: custom Intruder payload lists with grep-based anomaly checks, Repeater templates for API fuzzing, macros for automated login/session flows
  • Directory enumeration pipeline: Gobuster → FFUF → Dirbuster, with wordlists auto-built from a target's JS files and error messages
  • API testing scripts: curl/jq endpoint enumeration, IDOR detection by cycling through IDs and company codes, pagination-aware bulk extraction
  • Python tools: an IDOR scanner, an auth-bypass tester (localStorage/JWT fuzzing), a biometric-data analyzer (EXIF/timestamp correlation), a CVSS score calculator

Where I practice: HackTheBox, TryHackMe, PortSwigger Web Academy, DVWA/WebGoat



🚀 Flagship Projects

👁️ PhantomEye

Browser-based media capture & session research framework

View Repo

Purpose Session-based media capture research
Tech PHP · Bash · JavaScript
Environment Kali, Termux, Windows
Context Security-awareness demos, authorized research only
  • Built around sessions, handles media in chunks
  • Live preview while it processes

🛡️ QR-SHIELD v1.5

A modular, stable local lab for QR-login session hijacking research

View Repo

Purpose Modular framework for QR-login session hijacking research, built beyond the classic (now largely outdated) QRLJacking technique
Tech Python
Environment Sandboxed, localhost-only
Context Offline research - no real platform ever touched
  • Modular, stable architecture, more advanced than a basic Jacking-style setup
  • Models the risk that can hit QR-based logins on apps like WhatsApp Web, Telegram, Discord, and Signal if built carelessly
  • Named "Shield" on purpose to understand the attack well enough and help others to defend against it
🔬 QR-SHIELD, what I'm researching next

Digging into: QR encoding/decoding flaws, the timing windows during login, session validation bypass, how different platforms implement QR login differently, real-world resilience testing; all inside a local, offline lab, never against a live service.

Not doing: another generic vulnerability scanner or a catch-all security suite - staying focused on this one problem.

Approach: understand modern QR login deeply first, build tools for local and authorized research, then share what's learned so others can build better defenses.

Status: both projects are in active development and testing.



📊 GitHub Analytics

GitHub Stats Top Languages


🎯 Current Research

Status Item
✅ Done Multi-tenant SaaS security assessment (27-page report)
🔄 Active PhantomEye v2.0 (live streaming, stability work), QR-SHIELD v1.5 advanced modules
📝 Pipeline Write-up on QR authentication bypass research, a bug bounty toolkit and automation suite, documentation for past pentest case studies
⊘ Not building Generic vulnerability scanners or all-in-one security suites — staying focused on specialized research


⚖️ How I Work

Principle What it means
Permission first I only test with clear authorization or a signed agreement
Responsible disclosure Report privately, follow a 90-day coordinated timeline
Minimal data exposure Never touch or keep data beyond what's needed to prove the bug
Evidence-based validation Tools for speed, my own eyes on every finding
Transparent reporting Clear reports with fix guidance and evidence that holds up

Every piece of security research here is done with one goal to protect users and tomake the organizations I test safer.



💡 Philosophy

"To understand defense, you have to think like an attacker. To be a good attacker, you have to understand defense. To teach security, you need to master both." — D0C70R

FIND → FIX → UNDERSTAND → DEFEND → TEACH → REPEAT


📬 Get in Touch

Work Email Personal Email GitHub Instagram Tech Instagram Personal ORCID

⭐ Star my repos · 🔗 Share my research · 💬 Reach out if you want to collaborate

Last Updated: September 2026 · 🟢 Active in Pentesting & Research

Pinned Loading

  1. PhantomEye PhantomEye Public

    PhantomEye is a lightweight web-based camera capture system that records images and video directly through the browser. It features session-based storage, chunked video uploads, automatic cleanup, …

    HTML 9 2

  2. QR-SHIELD QR-SHIELD Public

    Research-grade Python framework for QR code threat analysis, defensive security validation, and authorized cybersecurity testing.

    Python 6 1