swarmauri_evaluator_constanttime 0.3.0.dev47

Evaluator that detects timing side channels using fixed-vs-random test

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Swarmauri Evaluator Constanttime

Evaluator that detects timing side channels using a fixed-vs-random strategy. It times a callable with repeated fixed inputs and compares those timings against randomly generated inputs. Welch's t-test and Cliff's delta are used to decide whether the observed runtime differences are statistically significant. The evaluator reports a score of 1.0 for constant-time behaviour and 0.0 otherwise, together with rich metadata about the underlying measurements.

Installation

pip

pip install swarmauri_evaluator_constanttime

Poetry

poetry add swarmauri_evaluator_constanttime

uv

uv venv
source .venv/bin/activate
uv pip install swarmauri_evaluator_constanttime

Usage

The example below evaluates a deliberately leaky string comparison that sleeps for every matching byte. Fixed inputs run all the way through the comparison and take measurably longer than random guesses that fail fast, so the evaluator flags the function as not constant time.

import secrets
import time

from swarmauri_core.programs.IProgram import IProgram
from swarmauri_evaluator_constanttime import ConstantTimeEvaluator


class DummyProgram(IProgram):
    def diff(self, other: "IProgram"):
        return ()

    def apply_diff(self, diff):
        return self

    def validate(self) -> bool:
        return True

    def clone(self) -> "IProgram":
        return DummyProgram()


def insecure_compare(secret: bytes, guess: bytes) -> bool:
    for secret_byte, guess_byte in zip(secret, guess):
        if secret_byte != guess_byte:
            return False
        time.sleep(0.0001)
    return len(secret) == len(guess)


def make_input_pair() -> tuple[bytes, bytes]:
    return secrets.token_bytes(16), secrets.token_bytes(16)


def main() -> None:
    evaluator = ConstantTimeEvaluator()
    score, metadata = evaluator._compute_score(
        program=DummyProgram(),
        fn=insecure_compare,
        make_input_pair=make_input_pair,
        fixed_pair=(b"A" * 16, b"A" * 16),
        n_samples=20,
        iters_per=5,
    )

    print(f"Score: {score:.1f}")
    print(f"Constant time? {metadata['constant_time']}")
    print(f"t-statistic: {metadata['t_stat']:.2f}")
    print(f"Cliff's delta: {metadata['cliff_delta']:.3f}")

    assert metadata["constant_time"] is False


if __name__ == "__main__":
    main()

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