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SECURITY.md

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Security and numerical integrity

This is a development package; no released version currently carries a security support commitment. Report exploitable defects through GitHub's private vulnerability-reporting facility if enabled. Otherwise contact the maintainer at the address in Project.toml before publishing exploit details. Ordinary numerical defects can be reported as issues with a minimal synthetic reproducer, package/tool versions and expected versus observed results. Do not attach confidential or identifiable biological data.

The native API is a local scientific library, not a sandbox for untrusted jobs. Callers must bound matrix dimensions, count bit widths, Monte-Carlo work, concurrency and memory at their service boundary. Input validation and explicit nonconvergence errors do not create a hard CPU or memory limit. R reference execution loads installed R packages and must run in a separately controlled environment when inputs or dependencies are untrusted.

Aqua checks Julia package quality. It is not a vulnerability-database scanner. The launch ledger must separately record dependency advisories, secret scanning, workflow permissions/action pins, release provenance and unresolved findings. No successful comprehensive security audit is claimed here. Statistics that fail calibration are safety/integrity concerns even without an attacker.