From Zero to Hero: How I Landed My First Bug Bounty in 24 Hours Using These Hacking Techniques + Video

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Introduction:

Bug bounty hunting has emerged as a lucrative and ethical pathway for cybersecurity enthusiasts to identify vulnerabilities in systems and get paid for it. With the increasing reliance on digital infrastructure, organizations are actively crowdsourcing security testing through programs hosted on platforms like HackerOne, Bugcrowd, and Open Bug Bounty. This article delves into the core techniques, tools, and training required to kickstart your journey, inspired by cybersecurity professionals like Mayank Gandhi who emphasize structured learning through resources such as TMG Security trainings (https://lnkd.in/eFa_UXKC). Whether you’re a novice or an IT professional, mastering these skills can lead to significant rewards and career advancement.

Learning Objectives:

  • Understand the foundational steps to set up a bug bounty hunting environment with essential tools.
  • Learn reconnaissance and vulnerability assessment techniques using verified Linux and Windows commands.
  • Develop a methodology for ethical exploitation, reporting, and continuous skill enhancement through professional training.

You Should Know:

1. Setting Up Your Bug Bounty Environment

Step‑by‑step guide explaining what this does and how to use it.
A robust environment is critical for effective testing. Start with a Linux distribution like Kali Linux or a Windows setup with virtualization tools. Kali Linux comes pre-loaded with penetration testing tools, while Windows users can leverage WSL (Windows Subsystem for Linux) for compatibility.
– Linux Command to Update and Install Tools:
`sudo apt update && sudo apt install -y nmap burpsuite sqlmap dirb gobuster`
This updates the package list and installs key tools for scanning, proxying, and exploitation.
– Windows WSL Setup:

Open PowerShell as Administrator and run:

`wsl –install -d Ubuntu`

Then, install tools via:

`sudo apt install python3-pip && pip3 install scoutsuite`

This sets up a Linux environment for cloud security testing.
– Configuration: Configure Burp Suite as a proxy for web traffic interception by setting your browser proxy to 127.0.0.1:8080 and importing Burp’s CA certificate for HTTPS decryption.

2. Reconnaissance Techniques for Target Mapping

Step‑by‑step guide explaining what this does and how to use it.
Reconnaissance involves gathering intelligence on targets to identify attack surfaces. Use passive and active methods to enumerate subdomains, IP ranges, and services.
– Subdomain Enumeration with Sublist3r:

`sublist3r -d example.com -o subdomains.txt`

This lists subdomains using search engines and DNS queries.
– Port Scanning with Nmap:

`nmap -sV -sC -p- -T4 target.com -oN scan_results.txt`

This performs a version and script scan on all ports, outputting results to a file.
– Cloud Infrastructure Recon: For AWS, use Scout Suite:

`python3 -m scout suite –aws-access-key-id KEY –aws-secret-access-key SECRET`

This audits AWS environments for misconfigurations like public S3 buckets.

3. Vulnerability Scanning and Exploitation with Automated Tools

Step‑by‑step guide explaining what this does and how to use it.
Automate initial vulnerability detection using scanners, but always validate findings manually to avoid false positives.
– Web Vulnerability Scanning with OWASP ZAP:
Launch ZAP and run an automated scan via CLI:
`zap-cli quick-scan -s all http://test.com`
This checks for OWASP Top 10 vulnerabilities like SQL injection and XSS.
– Exploiting SQL Injection with SQLmap:
`sqlmap -u “http://test.com/page?id=1” –dbs –batch<h2 style="color: yellow;">This enumerates databases if the parameter is vulnerable.</h2>
- API Security Testing: Use tools like Postman and Burp Suite to test API endpoints. In Burp, send requests to the Repeater tool and fuzz parameters with payloads:
<h2 style="color: yellow;">
Intruder attack with payloads from wordlists like /usr/share/wordlists/seclists/Discovery/Web-Content/common.txt`.

4. Web Application Security Testing: Manual Methods

Step‑by‑step guide explaining what this does and how to use it.
Manual testing complements automation by uncovering logic flaws and complex vulnerabilities. Focus on authentication, authorization, and input validation.
– Testing for Cross-Site Scripting (XSS):
Inject payloads like `` into input fields and URLs. Use browser developer tools to monitor responses.
– Command Injection on Linux/Windows:
For Linux targets, test with: `; whoami` in web parameters.

For Windows, try: `| dir C:\`

Always use controlled environments like DVWA (Damn Vulnerable Web Application) for practice.
– Session Management Testing: Use Burp Suite’s Sequencer to analyze session token randomness by capturing login requests and analyzing entropy.

5. Reporting and Ethical Disclosure Protocols

Step‑by‑step guide explaining what this does and how to use it.
Effective reporting ensures bug bounty rewards and maintains ethical standards. Follow responsible disclosure by notifying organizations before public disclosure.
– Report Template: Include title, vulnerability description, CVSS score, steps to reproduce (with screenshots), impact, and remediation suggestions.
– Tools for Documentation: Use Markdown for write-ups and tools like OWASP Threat Dragon for diagramming attack vectors.
– Submission Process: On platforms like HackerOne, use their reporting guidelines. Always encrypt sensitive data with PGP when communicating via email:

`gpg –encrypt –recipient [email protected] report.txt`.

6. Advanced Tools and Automation for Scale

Step‑by‑step guide explaining what this does and how to use it.
Scale your hunting with scripting and automation to monitor multiple targets.
– Bash Script for Continuous Recon:

!/bin/bash
domain=$1
sublist3r -d $domain -o subs.txt
while read sub; do
nmap -sV $sub -oN scan_$sub.txt
done < subs.txt

Save and run with chmod +x recon.sh && ./recon.sh example.com.
– Windows PowerShell for Log Analysis:

`Get-Content access.log | Select-String “SQL” | Out-File sql_errors.txt`

This parses logs for SQL error patterns indicating vulnerabilities.
– Cloud Hardening with AWS CLI:

`aws s3api put-bucket-acl –bucket mybucket –acl private`

This command secures S3 buckets by setting private ACLs.

7. Continuous Learning and Professional Training Integration

Step‑by‑step guide explaining what this does and how to use it.
Cybersecurity is ever-evolving; engage in courses like TMG Security trainings (https://lnkd.in/eFa_UXKC) to stay updated. These courses cover penetration testing, DevSecOps, and SIEM, aligning with bug bounty essentials.
– Hands-on Labs: Set up a home lab with VirtualBox running vulnerable VMs like Metasploitable. Practice with commands:
`msfconsole -q -x “use exploit/multi/samba/usermap_script; set RHOSTS target; exploit”`
– API Security Deep Dive: Use Postman collections to test REST APIs for authentication flaws. Script tests with Newman:

`newman run collection.json –environment env.json`

  • Join Communities: Participate in CTF platforms like Hack The Box and read disclosures on HackerOne to learn from real-world bugs.

What Undercode Say:

  • Key Takeaway 1: Bug bounty hunting requires a blend of automated tools and manual ingenuity; mastering both through structured training accelerates success.
  • Key Takeaway 2: Ethical practices and detailed reporting are as crucial as technical skills for building a reputation and ensuring repeat rewards.
  • Analysis: The post by Mayank Gandhi highlights the growing trend of professionals leveraging bug bounty programs to start the year with actionable goals. This reflects a shift in cybersecurity toward proactive, crowdsourced defense mechanisms. Training courses like those from TMG Security fill the skill gap by providing curated content on VAPT, DevSecOps, and SIEM, which are essential for modern bug hunters. However, the landscape is competitive; continuous learning and adaptation to new technologies like AI-driven security tools are necessary. The integration of cloud security and API testing into curricula underscores the industry’s move toward microservices and cloud-native architectures, where vulnerabilities are increasingly prevalent.

Prediction:

Bug bounty programs will expand beyond web applications to include IoT, blockchain, and AI systems, driven by increased digital transformation. As AI tools become more accessible, attackers will use them for sophisticated exploits, but defenders will also leverage AI for automated vulnerability detection. Training programs will evolve to include AI security modules, and bug bounty platforms will incorporate machine learning for triage. This will lead to a higher volume of validated reports but also require hunters to specialize in niche areas like cloud hardening or API security. Overall, bug bounty hunting will become a standardized career path, formalized through certifications and university partnerships, reducing the cybersecurity skill shortage.

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Reported By: Mayank Gandhi – Hackers Feeds
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