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Introduction:
Bug bounty programs have transformed cybersecurity into a crowdsourced defense mechanism, where independent researchers like Aditya Singh hunt for vulnerabilities in exchange for rewards. The true value, however, lies not in counting submissions but in understanding the adversarial mindset—thinking like an attacker to proactively patch weaknesses before malicious actors exploit them. This article dissects the technical workflows, command-line tactics, and mitigation strategies used by top-tier bug hunters, from reconnaissance to responsible disclosure.
Learning Objectives:
– Master reconnaissance techniques using automated tools and manual enumeration on Linux/Windows.
– Identify and exploit common web vulnerabilities (XSS, SQLi, SSRF) with real-world payloads.
– Implement cloud hardening and API security controls to prevent reported bug patterns.
You Should Know:
1. Reconnaissance and Asset Discovery – The First Step to Uncovering Hidden Bugs
Start by mapping the target’s external attack surface. Use passive and active enumeration to uncover subdomains, open ports, and forgotten APIs. This phase requires both Linux and Windows commands to ensure comprehensive coverage.
Linux Commands for Subdomain Enumeration:
Using subfinder for passive discovery subfinder -d target.com -o subdomains.txt Active enumeration with ffuf and wordlist ffuf -u https://target.com -w /usr/share/wordlists/subdomains.txt -H "Host: FUZZ.target.com" -fc 400,404 Resolve live hosts cat subdomains.txt | httpx -silent -o live_hosts.txt
Windows PowerShell Approach:
Resolve DNS records
Resolve-DnsName -1ame target.com -Type A | Select-Object IPAddress
Port scanning with Test-1etConnection (alternative to nmap)
1..1024 | ForEach-Object { Test-1etConnection target.com -Port $_ -ErrorAction SilentlyContinue } | Where-Object {$_.TcpTestSucceeded -eq $true}
Step‑by‑step guide:
1. Gather a list of root domains from the bug bounty program’s scope.
2. Run subfinder and then filter live hosts using httpx.
3. Use ffuf with a custom header to fuzz subdomains.
4. Perform port scanning on live hosts to identify unusual services (e.g., port 8080, 8443, 3000).
5. Save all outputs for the next phase – vulnerability scanning.
2. Web Vulnerability Exploitation – From Cross-Site Scripting to SQL Injection
Once assets are discovered, test for injection flaws. The most rewarding bugs often come from edge-case payloads that bypass standard filters. Below are verified commands for both Linux and Windows environments.
Linux – SQLMap for Automated SQLi:
Capture a request with cookies into a file (req.txt) sqlmap -r req.txt --batch --level 5 --risk 3 --dbs
Linux – XSS Payload Testing with Curl:
curl -X GET "https://target.com/search?q=<script>alert('XSS')</script>" -H "User-Agent: Mozilla/5.0" -I
Windows – Using Burp Suite’s Repeater (manual but powerful):
– Install Burp Suite Community Edition.
– Set browser proxy to 127.0.0.1:8080.
– Capture a request, right-click → “Send to Repeater”.
– Modify parameters with `”>` and send repeatedly.
Mitigation Example (Apache WAF rule):
Block SQLi patterns in .htaccess
RewriteCond %{QUERY_STRING} (\<|%3C).script.(\>|%3E) [NC,OR]
RewriteCond %{QUERY_STRING} union.select.\( [bash]
RewriteRule . - [F,L]
Step‑by‑step guide:
1. Identify input fields (URL params, POST data, headers).
2. Inject a simple test payload (`’` or `”`). Observe error messages.
3. Use SQLMap if error-based or time-based blind injection is suspected.
4. For XSS, encode payloads to bypass WAF (e.g., `
5. Verify impact by stealing a cookie or triggering an alert in a non-production sandbox.
3. API Security Hardening – Preventing Broken Object Level Authorization (BOLA)
APIs are prime targets. A single misconfigured object ID can expose millions of records. This section demonstrates how to discover BOLA vulnerabilities and fix them with proper authorization checks.
Testing for BOLA with cURL (Linux/Windows):
Change the user_id parameter to another valid ID curl -X GET "https://api.target.com/v1/users/1234/profile" -H "Authorization: Bearer $TOKEN" Try 1235, 1236, etc.
Windows – Using PowerShell to automate BOLA scans:
$ids = 1..1000
foreach ($id in $ids) {
$uri = "https://api.target.com/v1/users/$id/profile"
try { Invoke-RestMethod -Uri $uri -Headers @{Authorization="Bearer $TOKEN"} } catch {}
}
Cloud Hardening (AWS IAM policy to mitigate BOLA):
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Deny",
"Action": "api:GetUserProfile",
"Resource": "arn:aws:api:/users/",
"Condition": {
"StringNotEquals": {
"aws:userid": "${api:requested_user_id}"
}
}
}
]
}
Step‑by‑step guide for developers:
1. Never rely on client‑side IDs alone – always re‑authenticate on the backend.
2. Use UUIDs instead of sequential integers.
3. Implement middleware that compares the JWT’s user ID with the requested resource ID.
4. Run automated BOLA scanners like `Autorize` or `AuthMatrix` in Burp.
5. Perform negative testing: attempt to access another user’s resource with a valid token.
4. Vulnerability Mitigation and Patch Management – From Discovery to Fix
Once a bug is reported (as Aditya Singh does), the clock starts for the vendor to patch. This section covers Linux/Windows commands to quickly deploy fixes and validate remediation.
Linux – Applying security patches:
Debian/Ubuntu sudo apt update && sudo apt upgrade -y sudo apt install unattended-upgrades sudo dpkg-reconfigure --priority=low unattended-upgrades RHEL/CentOS sudo yum update --security
Windows – Using PowerShell to audit and install patches:
Check missing updates Get-WindowsUpdate Install critical updates Install-WindowsUpdate -AcceptAll -Category "Security"
Validating a patched SQLi endpoint (Linux):
After patch, retest with previous payload sqlmap -r req.txt --batch --level 5 --risk 3 --dbs --flush-session Expect "no injection" result
Step‑by‑step guide:
1. Receive report with proof-of-concept.
2. Reproduce in a staging environment.
3. Apply hotfix (input validation, WAF rule, or code change).
4. Run regression tests with the original exploit and variations.
5. Deploy to production and monitor for any bypass attempts in logs.
5. Tool Configuration for Continuous Bug Hunting – Automating Burp Suite and Nuclei
Professional hunters use automation to scale. Configure Nuclei for template-based scanning and Burp Suite for passive traffic analysis.
Installing and configuring Nuclei (Linux):
Install Go, then nuclei GO111MODULE=on go install -v github.com/projectdiscovery/nuclei/v3/cmd/nuclei@latest nuclei -update-templates Run against live hosts nuclei -list live_hosts.txt -severity critical,high -o critical_bugs.txt
Burp Suite – Custom match/replace rule to bypass client-side restrictions:
1. Open Burp → Proxy → Options → Match and Replace.
2. Add rule:
– Type: Request Header
– Match: `^User-Agent:.$`
– Replace: `User-Agent: Mozilla/5.0 (compatible; BugHunter/1.0)`
3. This forces every request through your custom header, often revealing hidden debug endpoints.
Windows – Running Nuclei via WSL (Windows Subsystem for Linux):
Inside WSL terminal nuclei -list C:\\bugbounty\\hosts.txt -t C:\\nuclei-templates\\ -o results.txt
Step‑by‑step guide for automation:
1. Schedule a cron job (Linux) or Task Scheduler (Windows) to run nuclei daily.
2. Use `diff` to compare results and spot new vulnerabilities.
3. Integrate with Slack/Telegram webhooks for real‑time alerts.
4. Always respect rate limits – add `-rl 10` to nuclei.
5. Store successful payloads in a private arsenal for manual verification.
What Undercode Say:
– Key Takeaway 1: Quantity does not equal quality – elite bug hunters like Aditya Singh prioritize impact over counting submissions, focusing on critical vulnerabilities that lead to data breaches or full system compromise.
– Key Takeaway 2: Automation accelerates reconnaissance, but manual chaining of low-severity bugs (e.g., XSS + CSRF + IDOR) often yields the highest bounties and protects real-world assets more effectively.
Analysis: Aditya’s approach reflects a mature security mindset – “I stopped counting bugs a long time ago” implies that chasing numbers leads to burnout and shallow findings. Instead, he waits for “an email that reminds me how many reports I’ve actually submitted,” suggesting that recognition and impact validate his work. This contrasts with beginner hunters who spam low-quality submissions. The cybersecurity industry benefits from such researchers because they reduce false positives and focus on responsible disclosure. Moreover, his open-to-work status indicates a growing demand for hands-on security talent rather than theoretical certification holders. Organizations should prioritize hiring individuals with this proven track record of finding and fixing actual bugs over those with mere compliance checklists.
Prediction:
+1 Bug bounty platforms will evolve to reward contextual severity and business impact, not just CVSS scores – researchers like Aditya will see higher payouts for chained exploits.
-1 As automation tools become more accessible, the barrier to entry lowers, flooding programs with low-quality reports and forcing platforms to implement AI-based triage systems, potentially overlooking novel attack vectors.
+1 Linux and cloud-1ative bug hunting will dominate over traditional Windows environments, leading to specialized training courses on Kubernetes security and serverless API exploitation.
-1 Corporate legal teams may increasingly threaten bug hunters with CFAA-style lawsuits for “unauthorized access,” even in scoped programs, chilling the responsible disclosure ecosystem.
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Reported By: [Aditya Singh4180](https://www.linkedin.com/posts/aditya-singh4180_bugbounty-bughunting-cybersecurity-share-7467184980159483904-RlKs/) – Hackers Feeds
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