In common bleeding edge securty resarch applications like Symbolic Execution, people are inhibited by their abilities to process and parse complex architectures like x86. With this solution, we use modern web development processes and machine learning to solve those problems and get expressions from common machine code. Since machine learning is used here, it can be scaled out to deploy these security solutions to many problems in the industry. Providing radical change.
This project leverages the power of the Linux kernel for much of the dependencies, thus I have included it as a submodule. This is part of my outreach to support the open-source community and expand on the shoulders of giants!
- Machine learning 🌋
- Rust ❤️ ❤️ ❤️ ❤️ ❤️
- Modern HTML 🌀
- High-performance string parsing ⚡
- Complex image compression 🙀
- JSON and well-structured serialization and deserialization 🙏
I am currently accepting PRs! Let me know if you want to contribute and improve this project.
pleb@gamey ~/whylol $ cargo run --release
Compiling whylol v0.1.0 (/home/pleb/whylol)
Finished release [optimized] target(s) in 0.82s
Running `target/release/whylol`
/media/FLcfnWwXMAA6gMn.png
Decoding as middle english
Warning: Invalid resolution 0 dpi. Using 70 instead.
Got expr: CMP quord ptr (R12 + RAX*0x8] , 0x0
Solved pointer: R12 + RAX*0x8