Linux Fuzzing Tutorial with AFL Fuzzer

🔥 Learn How To Fuzz Linux Binaries with AFL++
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Credits to Antonio Morales and Fuzzing101​
First and foremost a huge thank you to Antonio Morales for setting up the Fuzzing101 repository containing various fuzzing challenges to re-discover known vulnerabilities. This is a free and open source repository that we'll be using to walk you through all the fuzzing techniques required to be an expert. Needless to say, we could not have made this fuzzing tutorial series without this amazing resource and we are forever grateful for all the work the Fuzzing101 team did to make fuzzing easy to learn for beginners.
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📜 Video Description:
Introduction to Fuzzing​
What is Fuzzing?​
Fuzzing is a software testing technique that involves providing invalid, unexpected, or random data as input to a program to identify vulnerabilities, crashes, or unexpected behavior. By systematically varying inputs fuzzing helps uncover bugs that might not be detected through traditional testing methods.
What is AFL?​
AFL (American Fuzzy Lop) is a powerful open-source fuzzer designed to identify bugs and security vulnerabilities in software. It works by generating random test cases and feeding them to the target application, monitoring for crashes, hangs, or unexpected behavior. AFL uses an innovative genetic algorithm to optimize the input mutations, increasing the likelihood of discovering unique execution paths & exposing hidden flaws in the code. It has been widely adopted for its effectiveness and ease of use in fuzz testing. Linux Fuzzing Tutorial with AFL Fuzzer.
AFL vs. AFL++​
AFL++ is an enhanced & more advanced fork of the original AFL. While AFL pioneered many foundational techniques in fuzz testing, AFL++ builds upon this with numerous improvements such as better instrumentation, support for a wider range of binaries, and integration of various community-developed features. AFL++ also offers more customization options and additional strategies for discovering vulnerabilities making it more effective and versatile for modern software testing. AFL fuzzing tutorial. AFL++ fuzzing
How does AFL++ work?​
AFL++ works by instrumenting the target binary to collect feedback on code coverage, then mutating inputs based on this feedback to maximize code execution paths. It uses genetic algorithms to evolve inputs over multiple iterations, aiming to discover crashes hangs & other anomalies in the software being tested. Linux Fuzzing Tutorial with AFL Fuzzer.
📝 Timestamps:
0:00 Intro to Fuzzing Series
0:31 Setting Up Environment
0:50 xpdf CVE-2019-13288​
1:45 Malcore r0x0rs ur b0x0rs
3:15 Fuzzing with AFL
4:48 Analyzing AFL Output
6:02 Examining Crashes
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