LibAFL
frida-fuzzer
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LibAFL | frida-fuzzer | |
---|---|---|
4 | 1 | |
1,838 | 557 | |
3.3% | - | |
9.7 | 0.0 | |
5 days ago | almost 4 years ago | |
Rust | JavaScript | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
LibAFL
- LibAFL, the Advanced Fuzzing Library reached 0.8.0 - develop fuzzers in Rust
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LibAFL - write fuzzers that outperform libfuzzer and afl, completely in Rust
Our fuzzing framework, LibAFL, is written in Rust from scratch and allows you to create almost any fuzzer.
- LibAFL: Rust Library to Develop Customized Fuzzers
- LibAFL (Advanced Fuzzing Library) released
frida-fuzzer
What are some alternatives?
AFLplusplus - The fuzzer afl++ is afl with community patches, qemu 5.1 upgrade, collision-free coverage, enhanced laf-intel & redqueen, AFLfast++ power schedules, MOpt mutators, unicorn_mode, and a lot more!
RMS-Runtime-Mobile-Security - Runtime Mobile Security (RMS) π±π₯ - is a powerful web interface that helps you to manipulate Android and iOS Apps at Runtime
cargo-fuzz - Command line helpers for fuzzing
Strapi - π Strapi is the leading open-source headless CMS. Itβs 100% JavaScript/TypeScript, fully customizable and developer-first.
e9afl - AFL binary instrumentation
test-each - π€ Repeat tests. Repeat tests. Repeat tests.
StdFuzzer - StdFuzzer is the reference implementation of a generic bit-level fuzzer with LibAFL
webgl-fuzzer - WebGL fuzzer
afl.rs - π Fuzzing Rust code with American Fuzzy Lop
sharpfuzz - AFL-based fuzz testing for .NET
ziggy - A multi-fuzzer management utility for all of your Rust fuzzing needs π§βπ€
libafl_quickjs_fuzzing - An example fuzzer about how to fuzz a JS engine combinign Nautilus with Token-level fuzzing