June 13, 2026
How I Won a $670 Bug Bounty Using Burp AI: From Recon to Responsible Disclosure
How I Won a $670 Bug Bounty Using Burp AI
Cybervolt
3 min read
How I Won a $670 Bug Bounty Using Burp AI
Artificial Intelligence is rapidly changing how bug bounty hunters work. While AI won't magically find vulnerabilities for you, it can significantly speed up analysis and help uncover issues that might otherwise be overlooked.
Recently, I used Burp AI during a bug bounty engagement and ended up earning a $670 reward for a valid security finding. In this article, I'll walk through my process, the role Burp AI played, and the lessons I learned.
The Target
The target was a medium-sized e-commerce platform participating in a public bug bounty program.
As always, I started by reviewing:
- Program scope
- Testing guidelines
- Out-of-scope assets
- Disclosure requirements
Once I understood the rules, I began reconnaissance.
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Step 1: Mapping the Application
I configured Burp Suite as my browser proxy and spent time navigating the application.
My objective was simple:
- Identify user roles
- Discover API endpoints
- Observe request patterns
- Understand the application's workflow
During this phase, Burp's Proxy History quickly filled with hundreds of requests.
Instead of manually reviewing everything, I began leveraging Burp AI.
Step 2: Using Burp AI to Analyze Traffic
One endpoint immediately caught my attention.
The request looked similar to:
GET /api/orders/12345GET /api/orders/12345The response contained order information associated with my account.
I highlighted the request and asked Burp AI:
Explain the purpose of this endpoint and identify potential security concerns.
Burp AI summarized the endpoint and suggested reviewing authorization controls.
That recommendation became the starting point of my investigation.
Step 3: Testing Authorization
I created a second test account.
The workflow was:
- Account A creates an order.
- Account B logs in separately.
- Observe API requests.
- Compare object identifiers.
The application used predictable numeric identifiers.
Example:
12345
12346
1234712345
12346
12347Burp AI pointed out that sequential identifiers often warrant authorization testing.
At this point, I manually verified whether the application properly enforced access controls.
Step 4: Finding the Vulnerability
I modified the request:
GET /api/orders/12345GET /api/orders/12345to
GET /api/orders/12344GET /api/orders/12344The server returned information associated with another user.
This immediately raised a red flag.
To avoid accessing unnecessary data, I stopped after confirming the authorization issue and documented the behavior.
The vulnerability allowed authenticated users to retrieve information that should only have been accessible to the owner of the order.
Step 5: Using Burp AI to Assess Impact
Next, I asked Burp AI:
What are the potential business impacts of an authorization flaw exposing customer order information?
The AI helped generate a concise list of risks:
- Customer privacy exposure
- Unauthorized access to order history
- Information disclosure
- Regulatory concerns
- Loss of customer trust
This wasn't proof of impact, but it helped me structure my report effectively.
Step 6: Gathering Evidence
I collected:
Screenshots
- Authorized request
- Modified request
- Server responses
Technical Notes
- Request method
- Endpoint
- Authentication requirements
- Reproduction steps
Risk Assessment
I documented:
- Attack complexity
- Required privileges
- Potential exposure
The goal was to make validation easy for the triage team.
Step 7: Writing the Report
One of the most useful features of Burp AI was report assistance.
I asked:
Generate a professional vulnerability description for an authorization issue involving exposed order information.
The generated draft provided a solid foundation.
I then customized it with:
- Actual evidence
- Reproduction steps
- Business impact
- Remediation guidance
Never submit AI-generated reports without reviewing them carefully.
The final report must always be your own work.
Step 8: Triage and Validation
Within a few days, the security team acknowledged the report.
After reviewing the evidence, they confirmed the issue and classified it as a valid authorization vulnerability.
The team quickly implemented access-control checks to ensure users could only access their own resources.
The Reward
A few weeks later, I received confirmation that the report qualified for a bounty payment.
Reward:
$670
While the vulnerability itself was relatively straightforward, the combination of careful testing, thorough documentation, and AI-assisted analysis helped streamline the entire process.
What Burp AI Actually Helped With
Many people assume AI tools automatically find vulnerabilities.
That wasn't my experience.
Burp AI helped by:
Understanding Endpoints
It quickly explained API functionality and reduced manual analysis time.
Suggesting Test Ideas
It highlighted areas worth investigating, including authorization checks.
Improving Reporting
It helped draft clear descriptions and impact statements.
Accelerating Research
Instead of searching through multiple resources, I could ask contextual questions directly inside Burp Suite.
Lessons Learned
AI Doesn't Replace Methodology
The vulnerability was discovered through manual testing and logical reasoning.
Authorization Bugs Are Everywhere
Broken access controls remain one of the most common classes of vulnerabilities.
Documentation Matters
A well-structured report can dramatically improve triage success.
Burp AI Is a Force Multiplier
Used correctly, AI can make experienced researchers more efficient.
Final Thoughts
This experience reinforced a simple truth:
AI won't replace bug bounty hunters.
However, tools like Burp AI can significantly improve productivity by helping researchers analyze traffic, understand application behavior, and create better reports.
The real skill remains the same: understanding how applications work, thinking like an attacker, and responsibly reporting security issues when you find them.
In my case, that combination resulted in a valid report, a happy security team, and a $670 bounty reward.