Crate sidecheck_core 

sidecheck-core

Library crate behind sidecheck, a remote timing side-channel auditor. If you’re looking for the CLI tool, see that crate instead — this one is for embedding the same detection logic in your own Rust code (a custom test harness, a CI check, a different transport than HTTP, etc.).

What’s in here

• stats — the statistical core. box_test compares the low percentile of two timing samples (methodology from Crosby, Wallach & Riedi, “Opportunities and Limits of Remote Timing Attacks”, ACM TISSEC 2009), with a bootstrap-resampled confidence interval rather than an assumption of normally-distributed network latency. estimate_jitter gives a robust (MAD-based, outlier-resistant) noise estimate, and required_samples does the power-analysis math to size a run before you commit to it.
• sampler (feature http, default on) — an HTTP-based sampler: HttpTarget plus run_interleaved, which measures two classes of request in randomized interleaved blocks (never “all A, then all B”) to avoid confounding the result with time-of-day drift or server warm-up. Requires reqwest; disable the http feature (default-features = false) if you only need the statistics and want to supply your own timing measurements.
• doctor — pre-flight network-quality diagnostics (median RTT, jitter classification, packet loss, a recommended sample count) built on stats alone, with no HTTP dependency of its own.
• report / export — human-readable and machine-readable (JSON/CSV) report formatting.

Example: statistics only, your own timing source

use sidecheck_core::stats::box_test;

// two vectors of measured elapsed seconds, however you collected them
let class_a: Vec<f64> = vec![0.001, 0.0011, 0.00105, 0.00098, 0.00102];
let class_b: Vec<f64> = vec![0.0015, 0.0016, 0.00155, 0.00148, 0.00152];

let result = box_test(&class_a, &class_b, /* low_percentile */ 10.0, /* confidence */ 0.95);
if result.is_significant() {
    println!("leak: {:.1} us", result.estimated_leak.abs() * 1_000_000.0);
}

Example: HTTP sampling (default http feature)

use sidecheck_core::sampler::{HttpTarget, InjectionPoint, run_interleaved, random_wrong_value};
use rand::{SeedableRng, rngs::StdRng};

let target = HttpTarget::new(
    "https://myapp.local/login",
    InjectionPoint::Header("X-API-Key".into()),
)?;
let secret = "the-real-secret";
let mut rng = StdRng::seed_from_u64(42);
let wrong = random_wrong_value(secret, &mut rng);

let raw = run_interleaved(&target, &wrong, secret, 5_000, 20, &mut rng, |_, _| {})?;

Limitations

Same as the CLI: this can detect a statistically significant timing difference under the tested conditions. It cannot prove one doesn’t exist. See the main README for the full discussion, including why a real (non-amplified) timing leak is often not reliably detectable over an actual HTTP round-trip even when it’s real at the CPU level.

License

MIT

Modules

doctor

sidecheck doctor is a measurement feasibility estimator: a fast pre-flight check of the path to the target, run BEFORE spending time on a full test. It answers “is it even worth trying to measure a timing leak over this path”, not “is there a leak”.

export

Result export — CSV with raw measurements (for anyone to independently re-check the statistics) and a JSON report (for CI/automation).

report

Turns the statistics into a human-readable verdict. No raw t-values exposed — only what’s needed to make a decision.

sampler

Collects raw response-time measurements.

stats

Statistical core of sidecheck.