Question 1

How do I build my first fuzzer with LibAFL?

Accepted Answer

Start by exploring the example fuzzers in the ./fuzzers directory, particularly libfuzzer_libpng. Follow the installation guide to set up Rust, LLVM, and Just, then use 'just run' to execute examples, but be prepared to write Rust code for custom implementations.

Question 2

Is LibAFL better than AFL++ for fuzzing binaries?

Accepted Answer

LibAFL is built by the AFL++ team and offers more customization, but AFL++ is a complete, ready-to-use fuzzer. Choose LibAFL if you need modular components for custom workflows; stick with AFL++ for standard binary fuzzing without coding.

Question 3

Can I use LibAFL to fuzz Android apps without source code?

Accepted Answer

Yes, LibAFL supports binary-only fuzzing via Frida-mode, allowing instrumentation and fuzzing of Android and iOS apps without access to source code, as mentioned in its multi-platform support.

Question 4

What instrumentation backends does LibAFL support?

Accepted Answer

It integrates with SanitizerCoverage, Frida, QEMU user/system mode, and TinyInst. You can also add custom backends, but this requires Rust development and understanding of the API.

Question 5

How does LibAFL handle distributed fuzzing across networks?

Accepted Answer

It uses Low Level Message Passing (LLMP) over TCP to coordinate fuzzing across multiple machines, enabling scalable, linear performance improvements in distributed setups, as detailed in the README.

Question 6

Is LibAFL suitable for fuzzing web applications?

Accepted Answer

While possible with custom components, LibAFL is primarily designed for system-level and binary fuzzing; for web apps, dedicated tools like OWASP ZAP or browser fuzzers might be more efficient out-of-the-box.

LibAFL

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