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Security: QuantaMinds/QuantaMind

Security

SECURITY.md

Security Policy

QuantaMind is a single-user, local-first desktop app (Tauri 2 + Rust + React). It runs models on your own machine; the only data that can leave the machine is an explicit, opt-in publish to the community leaderboard, whose payload is a metrics-only allowlist. The internal engineering security model lives in docs/security.md.

Supported versions

QuantaMind is pre-1.0. Security fixes land on the latest release and main. There is no back-porting to older tags during the beta.

Reporting a vulnerability

Please do not open a public issue for a security vulnerability. Instead, use one of:

  1. GitHub Private Vulnerability Reporting (preferred) — the Report a vulnerability button under the repository's Security tab. This opens a private advisory only the maintainers can see.
  2. Emailinfo@quantamind.co with subject SECURITY. Encrypt if you can; otherwise send a minimal report and we'll set up a secure channel.

Please include: the affected version/commit, a description of the issue and its impact, and concrete reproduction steps or a proof of concept. If it involves the publish path or any way local machine data could leave the machine, say so — that is our highest-priority class.

What to expect

  • Acknowledgement within 3 business days.
  • An initial assessment (severity + whether we can reproduce) within 10 business days.
  • We'll keep you updated on remediation and coordinate a disclosure timeline. We aim to fix high-severity issues before public disclosure, and we're happy to credit you (or keep you anonymous — your choice).

Scope

In scope: the desktop app (Rust backend, React frontend), the publish client, the bundled sidecar integration, and the update mechanism.

Out of scope: vulnerabilities in upstream dependencies already tracked by their own advisories (report those upstream; we monitor via cargo audit / pnpm audit), issues that require a local attacker who already has your OS user account or disk (they've already won a single-user tool), and the security of third-party model weights you choose to download.

Good-faith safe harbor

We will not pursue or support legal action against researchers who act in good faith, avoid privacy violations and data destruction, and give us a reasonable chance to fix an issue before disclosing it.

There aren't any published security advisories