New Zero-Day Bug Unveiled: How to Hack This Public Bounty Lab Like a Pro + Video

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Introduction:

A fresh vulnerability discovered by security researcher Hamza Khaled in a public bug bounty program has set the infosec community abuzz. To help you sharpen your penetration testing skills, M. B. Al Saeed has released an interactive lab that replicates this real‑world flaw—giving you a safe environment to practice exploitation before hunting your own bounties.

Learning Objectives:

  • Identify and exploit common web vulnerabilities (SQLi, XSS, IDOR) using professional tooling.
  • Perform API security testing and cloud misconfiguration enumeration.
  • Apply mitigation techniques to harden applications against the same attacks.

You Should Know:

1. Reconnaissance & Lab Setup

Start by mapping the attack surface of the target lab. Use enumeration tools to discover hidden endpoints, directories, and parameters.

Step‑by‑step guide:

  • Deploy the lab from the provided link: https://lnkd.in/dU-CtJQT` (expands to a unique target domain, e.g.,targetlab.com`).
  • Run an Nmap scan to identify open ports and services:
    nmap -sC -sV -oA lab_scan targetlab.com
    
  • Enumerate directories with `ffuf` (Linux) or `dirb` (Windows WSL):
    ffuf -u https://targetlab.com/FUZZ -w /usr/share/wordlists/dirb/common.txt
    
  • For Windows (PowerShell), use `Invoke-WebRequest` with a custom wordlist or `dirb` via WSL.

2. SQL Injection Exploitation

The newly discovered bug likely involves a blind SQL injection in a search parameter. Exploit it manually or with automation.

Step‑by‑step guide:

  • Identify a parameter vulnerable to SQLi (e.g., ?id=1). Test with a simple payload: `’ OR ‘1’=’1`
  • Confirm boolean‑based blind injection: `’ AND 1=1 –` vs `’ AND 1=2 –`
  • Use `sqlmap` to automate data extraction:
    sqlmap -u "https://targetlab.com/search?q=test" --batch --dbs
    
  • For manual extraction (Linux/Windows), use `curl` with time‑based payloads:
    curl "https://targetlab.com/search?q=test' AND SLEEP(5)--"
    
  • Mitigation: Use parameterized queries (prepared statements) and input validation.

3. Cross‑Site Scripting (XSS) to Account Takeover

Stored XSS can lead to session hijacking. The lab includes a comment box that echoes unsanitized input.

Step‑by‑step guide:

  • Inject a simple alert payload: ``
  • For cookie theft, set up a listener (e.g., `netcat` or ngrok):
    nc -lvnp 8080
    
  • Craft payload: ``
  • Use Burp Suite Repeater to test encoded variants (double URL encode, base64).
  • Mitigation: Implement Content Security Policy (CSP), HTML‑encode output, and use `HttpOnly` cookies.
  1. API Security Flaws – IDOR & Mass Assignment
    Modern labs often expose REST APIs. Check for insecure direct object references (IDOR) that let you access another user’s data.

Step‑by‑step guide:

  • Intercept an API request like `GET /api/user/123` – change `123` to 124.
  • Use `curl` to test authorization bypass:
    curl -X GET "https://targetlab.com/api/user/456" -H "Authorization: Bearer <your_token>"
    
  • For mass assignment, send extra parameters (e.g., `{“role”:”user”}` → {"role":"admin"}) via PUT /api/profile.
  • Windows equivalent: `Invoke-RestMethod` in PowerShell with `-Headers` and -Body.
  • Mitigation: Enforce object‑level access controls, reject unexpected JSON fields, and use strict schema validation.

5. Cloud Misconfigurations – Open S3 Buckets

If the lab uses cloud storage, misconfigured S3 buckets can leak sensitive files. Practice enumeration with AWS CLI.

Step‑by‑step guide:

  • Guess bucket names (e.g., targetlab‑assets, targetlab‑backups).
  • Check if bucket is public:
    aws s3 ls s3://targetlab‑assets/ --no-sign-request
    
  • Download all objects recursively:
    aws s3 sync s3://targetlab‑assets/ ./download/ --no-sign-request
    
  • For Azure Blob or Google Cloud Storage, use `az storage blob list` or gsutil ls.
  • Mitigation: Disable public ACLs, enforce bucket policies, and enable logging.

6. Privilege Escalation via JWT Manipulation

The lab likely uses JSON Web Tokens (JWT) for session management. Weak signing keys or algorithm confusion can lead to privilege escalation.

Step‑by‑step guide:

  • Decode the JWT using `jwt_tool` or jwt.io:
    python3 jwt_tool.py <jwt_token>
    
  • Test for `none` algorithm attack: modify header `{“alg”:”HS256″}` to `{“alg”:”none”}` and remove signature.
  • Crack weak HS256 secrets with `hashcat` (mode 16500):
    hashcat -a 0 -m 16500 jwt.txt rockyou.txt
    
  • On Windows, use `john` or online tools (offline).
  • Mitigation: Use strong secrets, enforce RS256/ES256, validate algorithm, and set short expiry.
  1. Mitigation & Hardening – Building a Resilient App
    After exploitation, learn how to prevent these bugs in your own code or cloud environments.

Step‑by‑step guide:

  • Input Validation: Whitelist allowed characters; reject malicious patterns.
  • Parameterized Queries: Use `PreparedStatement` (Java), `sqlx` (Rust), or `Entity Framework` (.NET).
  • CSP Headers: Add `Content-Security-Policy: default-src ‘self’` to block inline scripts.
  • Rate Limiting: Configure `fail2ban` or API gateway limits to block brute‑force.
  • Cloud Hardening: Enable MFA for IAM users, use VPC endpoints, and scan with `prowler` or scoutsuite.
  • Regular Patching: Automate updates with `unattended-upgrades` (Linux) or WSUS (Windows).

What Undercode Say:

  • Hands‑on labs bridge the gap between theory and real‑world bug bounty hunting – they are irreplaceable for skill development.
  • API and cloud misconfigurations now cause more data breaches than traditional web flaws; mastering them is non‑negotiable.
  • Automation tools like sqlmap and ffuf accelerate reconnaissance, but manual creativity still finds the deepest bugs.
  • Mitigation knowledge is equally important as exploitation – every hacker should understand how to fix what they break.
  • The lab from M. B. Al Saeed provides a safe, legal playground to fail, learn, and retry without consequence.

Prediction:

As AI‑powered code assistants become mainstream, bug bounty programs will see a surge in automatically generated, low‑effort findings. However, business‑logic flaws and complex chained attacks will remain human‑dominant. Within two years, we expect mandatory lab‑based certifications for bug bounty hunters, and platforms like HackerOne will integrate interactive live labs into their skill assessment pipelines. Continuous learning through gamified environments will be the only way to stay ahead.

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Reported By: Akashsuman1 Bugbounty – Hackers Feeds
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