In the world of bug bounty hunting, Insecure Direct Object References (IDORs) can be a goldmine. In this thread, we'll share advanced tips to sharpen your IDOR detection skills. Let's dive in! 🌊🔍
Always begin with a thorough understanding of the application you're testing. Identify all possible user roles and their access rights. This knowledge is crucial for accurately identifying IDOR vulnerabilities. 🧠📝
Pay attention to API endpoints that handle user-specific data. Keep an eye out for patterns in URL parameters or request payloads. Examine how the application validates user input and authorization checks for these sensitive resources. 📡🔬
Develop custom scripts or use tools like Burp Suite to automate the process of testing IDOR vulnerabilities. This will help you systematically evaluate different user roles and access levels, increasing your chances of discovering hidden flaws. 💻🛠️
Don't overlook the value of horizontal and vertical privilege escalation. When testing for IDORs, consider how one user role may be able to access data or perform actions that should be restricted to another user role. 🚀🎚️
Perform thorough testing on features like password resets, account recovery, and any other functionality that involves sensitive user data. These areas are prime targets for IDOR vulnerabilities. 🎯🔓
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#bugbountytips for testing Business Logic errors, a thread:
1. You need to have a good understanding of how the application is supposed to function. This requires reviewing the app's docs, reading about the business model, and testing the app to see how it behaves normally.
2. Identify critical business processes: Once you have a good understanding of the logic, identify the critical processes that the application performs. These are the processes that are essential to the application's functionality and are likely to be the target of attacks.
3. Test for edge cases: Business logic errors often occur when the application encounters unexpected or edge cases. Test the application to see how it behaves when inputs are outside the expected range or when multiple processes are occurring simultaneously.