Question 1

How do I set up honggfuzz for a simple C program?

Accepted Answer

Compile your C code with the provided hfuzz-clang wrapper, then run honggfuzz with an input directory. For example: `./honggfuzz -i inputs/ -- ./my_target ___FILE___`. The README includes basic commands and examples in the examples/ directory.

Question 2

Honggfuzz vs AFL: which is better for fuzzing?

Accepted Answer

Honggfuzz often outperforms AFL in speed due to persistent mode and hardware coverage, making it ideal for high-throughput campaigns. However, AFL has a larger ecosystem and more third-party tools, so choose honggfuzz for maximum performance on supported platforms.

Question 3

Can honggfuzz fuzz Python code directly?

Accepted Answer

Not directly; honggfuzz is designed for native C/C++ binaries. To fuzz Python, you need to target the CPython interpreter or use native extensions, which requires additional setup and may not leverage all coverage features.

Question 4

What hardware do I need for Intel BTS/PT support?

Accepted Answer

You need a modern Intel CPU (e.g., Core processors from Skylake onwards) with BTS or PT capabilities, and appropriate kernel modules enabled. Check your CPU documentation and ensure the system is configured for hardware tracing.

Question 5

How to interpret crash reports from honggfuzz?

Accepted Answer

Crash reports include input files and stack traces; use debuggers like gdb to analyze the generated files in the output directory. The deep monitoring via ptrace helps identify subtle issues like signal hijacking.

Question 6

Is honggfuzz good for fuzzing network services like web servers?

Accepted Answer

Yes, it excels here—the README lists trophies in Apache, OpenSSH, and NGINX. Use persistent mode (-P flag) for high-speed testing of APIs, and refer to the examples/ directory for configurations.

Honggfuzz

What is Honggfuzz?

Overview

Use Cases

Best For

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Pros & Cons

Pros

Cons

Frequently Asked Questions