| Crates.io | libwifi |
| lib.rs | libwifi |
| version | 0.4.6 |
| created_at | 2021-04-16 18:52:38.767266+00 |
| updated_at | 2025-03-20 13:58:32.541778+00 |
| description | A library for parsing IEEE 802.11 frames and handling wifi interfaces. |
| homepage | https://github.com/nukesor/libwifi |
| repository | https://github.com/nukesor/libwifi |
| max_upload_size | |
| id | 385424 |
| size | 226,053 |
First of all, this library is designed to be easily extendable.
There's an architectural/contribution guide in docs/Frame.md and pull requests are highly welcome.
Covering the whole spectrum of possible 802.11 frames or all different implementations of wifi tools out there is an impossible task for a single person, let's try to tackle this together!
Large parts of this library have been upstreamed from @Ragnt's AngryOxide.
The goal of libwifi is to provide a convenient way of parsing raw IEEE 802.11 frames!
The emphasis is on convenient, as the focus is to provide an easy-to-use API that includes consistent and intuitive structs representing the structure of a given frame.
Also this library is very fast, despite the focus on convenience.
The project is still under heavy development, quite a few features and some documentation are missing, but it should be a good foundation for a proper IEE 802.11 library :).
I'm no longer actively using this library myself, so it relies on external contributions.
Writing documentation and tests are an easy way to start contributing and a huge help!
Parsing a frame is fairly straight forward:
use libwifi::parse_frame;
// A simple RTS frame
let bytes = [
180, 0, // FrameControl
158, 0, // Duration
116, 66, 127, 77, 29, 45, // First Address
20, 125, 218, 170, 84, 81, // Second Address
];
match libwifi::parse_frame(&bytes) {
Ok(frame) => {
println!("Got frame: {frame:?}");
}
Err(err) => {
println!("Error during parsing :\n{err:?}");
}
};
A full example on how to capture, process and parse wifi traffic can be found in the examples directory.
There are a few benchmarks in the benches folder, which can be run by calling cargo bench.
Right now, parsing a Beacon frame, which is one of the more complex frames, takes ~300ns on a AMD Ryzen 7 7840HS.
Parsing a Data frame takes ~28 ns.
If we take this as a rough guideline, you can roughly expect 3-35 million frames per second per core on that CPU, depending on frame type.
StationInfo struct.There's a lot more to the IEE 802.11 spec and a lot of stuff needs to be done.
If you find that something you need is missing, consider creating a ticket and contributing :).
cargo-fuzz can be used to check for potential crashes while processing unvalidated input data. After installing cargo-fuzz (note: may require rust nightly), the frame parsing can be tested with cargo fuzz run parse_frame.