[Lecture Topic Task] Fuzzing for the Authentication Process

[J3SSY-ANDU]

✅ Objective

Apply fuzzing techniques to the authentication system to identify unexpected crashes, unhandled exceptions, or security vulnerabilities caused by malformed or unpredictable inputs.

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📚 Guidelines, Feedback, and Lectures

• Fuzzing is a software testing method that inputs random or unexpected data to test program robustness.
• The goal is to find bugs that could lead to crashes, security vulnerabilities, or logic errors.
• Especially useful in authentication flows to test input sanitization and error handling.
• Common fuzzed inputs: long strings, special characters, SQL injection-like payloads, unicode characters, null/undefined values.
• Tools like jest-fuzz or simple randomized test generators can be used in JavaScript/TypeScript.

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✅ Checklist

• [ ] Set up a fuzzing framework or helper function to generate random/malformed inputs.
• [ ] Target key auth functions (sign-up, login, password reset) with fuzzed data.
• [ ] Simulate common attack vectors (e.g., SQL injection patterns, XSS payloads).
• [ ] Log how the system responds to invalid or malicious input.
• [ ] Fix any issues found during fuzzing (crashes, improper error handling, unescaped outputs).
• [ ] Document fuzzing setup, coverage, and discovered vulnerabilities (if any).
• [ ] Include visual or console evidence of the tests and results.

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🧪 Testing and Debugging:

• Use tools like faker.js, jest-fuzz, or custom generators for random input.
• Ensure the app doesn’t crash and always provides proper feedback to users.
• Capture stack traces and identify if any sensitive information is leaked.
• Ensure Firebase auth services gracefully reject invalid inputs.

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⏳ Deadline

End of Milestone 3

[YanehRuiz]

@J3SSY-ANDU Please add where is this task linked to the professor's guidelines OR which lecture is this from and how you're linking it to the project.

[J3SSY-ANDU]

@YanehRuiz Updated the lecture topic task to follow the guidelines for milestone 3.