aiwaf-rust

Fast WAF heuristics and anomaly scoring implemented in Rust and exposed to Python. Designed for lightweight request validation and isolation-forest style scoring.

Install

pip install aiwaf-rust

Quickstart

from aiwaf_rust import (
    validate_headers,
    validate_url,
    validate_content,
    validate_recent,
    AiwafIsolationForest,
)

headers = {
    "user-agent": "Mozilla/5.0",
    "accept": "text/html,application/xhtml+xml",
    "accept-language": "en-US,en;q=0.9",
    "accept-encoding": "gzip, deflate",
    "connection": "keep-alive",
}

print(validate_headers(headers))
print(validate_url("https://example.com/login"))
print(validate_content("username=admin&password=..."))
print(validate_recent([{ "path": "/", "status": 200 }]))

model = AiwafIsolationForest(100, 256, 0.5, 42)
model.fit([[0.1, 0.2, 0.3], [0.2, 0.1, 0.4]])
print(model.anomaly_score([0.3, 0.2, 0.1]))

Notes

  • Built with PyO3 and abi3 so a single wheel works on Python 3.8+ (including 3.12+).
  • The WASM package is published as aiwaf-wasm on npm.

License

MIT

Project links

Data verified by PyPI on Sep 14, 2026
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Key dates

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Latest release

1 maintainer

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Avatar for aayushgauba from gravatar.com aayushgauba

Credits

Author: AIWAF maintainers

GitHub Statistics

Data verified by PyPI on Sep 14, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License

Requires

Python >=3.8

Classifiers

Report project as malware

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