Buttercup is now open-source! -The Trail of Bits Blog
Now that DARPA’s AI Cyber Challenge (AIxCC) has officially ended, we can finally make Buttercup, our CRS (Cyber Reasoning System), open source!| The Trail of Bits Blog
Now that DARPA’s AI Cyber Challenge (AIxCC) has officially ended, we can finally make Buttercup, our CRS (Cyber Reasoning System), open source!| The Trail of Bits Blog
Домашняя страница| bronevichok.ru
What is Fuzzing?| firefox-source-docs.mozilla.org
A comprehensive methodology for conducting security reviews of blockchain infrastructure, using Reth as a practical example| Sigma Prime
Part 1 | Part 2 | Part 3| bshastry.github.io
Introduction to Memory Unsafety for VPs of Engineering| alexgaynor.net
What is Fuzzing?| firefox-source-docs.mozilla.org
Memory safety is a property of some programming languages that prevents programmers from introducing certain types of bugs related to how memory is used. Since memory safety bugs are often security issues, memory safe languages are more secure than languages that are not memory safe. Memory safe languages include Rust, Go, C#, Java, Swift, Python, and JavaScript. Languages that are not memory safe include C, C++, and assembly. Types of Memory Safety Bugs To begin understanding memory safety b...| Prossimo
A stop-gap solution for fuzzing Zig code| www.ryanliptak.com
Using a fuzz tester to generate test cases for an alternate Lua implementation| www.ryanliptak.com
A few days ago I published a short post about two bugs I wrote while developing the C++ external scanner for my TLA⁺ tree-sitter grammar. Reactions were mixed! Many people were supportive, but there were of course the usual drive-by claims by developers that the bugs were trivial, they would’ve found & fixed them inside of 20 minutes, and I was laughably incompetent for having written them in the first place.| Andrew Helwer
In this article I demonstrate how to fuzz test floating point code using libFuzzer.| rigtorp.se
Fuzzing is a software testing method that involves passing malformed data as input to the program and monitoring it for misbehavior. Today, fuzzing is one of the most effective ways to find software security problems. In 2014, Michał Zalewski presented American Fuzzy Lop, the first coverage guided fuzzer. This started the modern world of fuzzing solutions and techniques on the market.| www.moritz.systems
