Fuzzing: When Good Inputs Go Bad (Hilariously)
Bombard software with unexpected data until it confesses its deepest, darkest bugs. It's chaos engineering for vulns!
Fuzzing: The Art of Controlled Chaos
Fuzzing (or Fuzz Testing) is an automated software testing technique that involves providing invalid, unexpected, or random data as input to a computer program. The program is then monitored for exceptions such as crashes, failing built-in code assertions, or potential memory leaks.
Types of Fuzzers:
- Dumb Fuzzers: Generate inputs with little or no knowledge of the input structure (e.g., bit flipping, random strings).
- Smart Fuzzers (Generational): Understand the input format and generate inputs based on a model or grammar.
- Mutation-based Fuzzers: Take valid inputs and mutate them to create new test cases.
Why Fuzz?
- Excellent for finding memory corruption bugs (buffer overflows, use-after-free).
- Can uncover unexpected behavior and crashes that other testing methods miss.
- Often used to find zero-day vulnerabilities.
Tools like AFL (American Fuzzy Lop) and libFuzzer are popular.