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In this really basic course, I will use AFL++ to fuzz an already compiled binary. I will first explain how afl++ QEMU mode is working and why it's impacting the performance. Then, we will fuzz the pdfinfo binary and we will improve the coverage by providing additional pdf files into the corpora.

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In this video, I will use both honggfuzz QEMU mode and honggfuzz Hardware-based coverage to fuzz a compiled binary. I will explain how those modes are working, fuzz the pdfinfo binary with QEMU mode and then fuzz it with hardware-based coverage mechanisms.

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In this video, I'm discussing why AFL/AFL++ is better than Honggfuzz for BlackBox fuzzing. We will go through some Google FuzzBench results and see which other AFL++ modes can be used for fuzzing binary-only targets.

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In this video, I will use the new FRIDA mode of AFL++ that allows binary-only fuzzing using Frida for instrumentation. I will show how to install this new mode and quickly compare the performance against QEMU mode.

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In this video, I will discover a new tool called e9afl. E9AFL allows us to insert the AFL instrumentation without recompilation via static binary rewriting. I will show you how to install this tool and how to use it. Finally, I will compare the result and performance against AFL++ QEMU mode.

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In this video, I'm testing a new grammar-based fuzzer named FormatFuzzer. This fuzzer leverages 010 editor templates to generate valid or pseudo-valid files. The tool is really nice, easy to use, and allows you to create a corpus of millions of interesting files.

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