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https://github.com/NeuraLegion/wafalyzer
Web Application Firewall (WAF) Detector
https://github.com/NeuraLegion/wafalyzer
cli crystal detection fingerprinting firewall shard waf
Last synced: about 2 months ago
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Web Application Firewall (WAF) Detector
- Host: GitHub
- URL: https://github.com/NeuraLegion/wafalyzer
- Owner: NeuraLegion
- License: mit
- Created: 2020-08-25T14:16:50.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2023-03-13T09:52:28.000Z (over 1 year ago)
- Last Synced: 2024-04-28T05:19:26.039Z (2 months ago)
- Topics: cli, crystal, detection, fingerprinting, firewall, shard, waf
- Language: Crystal
- Homepage:
- Size: 139 KB
- Stars: 32
- Watchers: 18
- Forks: 10
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- awesome-crystal - wafalyzer - Web Application Firewall (WAF) Detector - shard + cli (Misc)
README
# wafalyzer  [](https://github.com/NeuraLegion/wafalyzer/releases) [](https://github.com/NeuraLegion/wafalyzer/blob/master/LICENSE)
Wafalyzer is a firewall detection utility, which attempts to determine what WAF (if any) is in the front of a web application. It does that by means of passive analysis of the HTTP response metadata (status, headers, body) and if that fails, issuing additional requests with popular malicious payloads in order to (eventually) trigger WAF's response.
## Installation
### Shard
1. Add the dependency to your `shard.yml`:
```yaml
dependencies:
wafalyzer:
github: NeuraLegion/wafalyzer
```
2. Run `shards install`
### CLI
1. Run `shards build`
2. 🐗
## Usage
Wafalyzer can be used as both - shard and/or standalone CLI utility.
### Shard
```crystal
require "wafalyzer"
# See `Wafalyzer::Settings` for all available options.
Wafalyzer.configure do |settings|
settings.use_random_user_agent = true
end
# See `Wafalyzer.detect` for all available options.
Wafalyzer.detect(
url: "https://www.apple.com",
method: "POST",
)
# => [#]
```
### CLI
```console
$ ./bin/wafalyzer -m POST -r https://www.apple.com
```
All of the flags can be listed by, passing `--help`.
```console
$ ./bin/wafalyzer --help
```
You can use `LOG_LEVEL` env variable to set the desired
logs severity at runtime.
```console
$ LOG_LEVEL=debug ./bin/wafalyzer https://github.com
```
## Development
Run specs with:
```
crystal spec
```
## Contributing
1. Fork it ()
2. Create your feature branch (`git checkout -b my-new-feature`)
3. Commit your changes (`git commit -am 'Add some feature'`)
4. Push to the branch (`git push origin my-new-feature`)
5. Create a new Pull Request
## Contributors
- [Sijawusz Pur Rahnama](https://github.com/Sija) - creator and maintainer