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Cake day: June 12th, 2023
  • corsicanguppy@lemmy.catolinuxmemes@lemmy.world•I'm looking for a free OS, should it be Debian or Arch Linux(community)?English
    2·
    1 day ago

    why avoid Flatpak? I get snap or AppImage,

    Objectively, they all frustrate validation the same. When comparing with a SLSA3-compliant setup where every installed artifact has a signed checksum in a signed bundle from a signed resource on a signed repository, and the endpoint to this is readily available from something like authenticated SNMP into the single source of truth, they all tends to compare poorly.

    The chart below completely ignores that Debs are consolidated into a single source of truth as well, and I feel violating SSoT should cost significantly because of dependency holes when artifact registry is incomplete, but SLSA doesn’t care about that part.

    Ecosystem / Format Estimated SLSA Level Update Reliability / Model Trust Chain & Provenance Comments
    (withheld) 3–4 Very high; repo-based, transactional updates Strong: signed packages + signed repo metadata + central DB; distros enforce reproducible builds.
    OCI containers (hardened pipeline: cosign + Tekton/in-toto) 3 High if using automated CI/CD and policy enforcement Strong if you use signed images + non-falsifiable provenance; this is rare but achievable.
    DEB (distro repos) 2 High; repo-based, APT handles dependencies Medium: repo metadata signed, but per-package signatures not mandatory; weaker checksum chain.
    Flatpak runtimes (Flathub) 2 High; centralized runtimes, predictable updates Medium: signed OSTree commits; build infra more centralized, but not full end-to-end provenance.
    Flatpak apps 1–2 High; repo-based, automatic updates Mixed: OSTree signing helps, but build provenance varies by publisher; no uniform SLSA guarantees.
    Snap (strict confinement) 1–2 High; centralized store, auto-updates Centralized signing by Canonical, but opaque build pipelines; trust is “trust the store operator.”
    OCI containers (typical public images) 0–1 Medium; pull-latest model, tag drift common Usually unsigned; mutable tags; no guaranteed provenance—trust is mostly social and reputation-based.
    Snap (classic confinement) 1 High; same store/auto-update model Same store trust, but classic snaps bypass sandbox; even more reliance on publisher integrity.
    AppImage 0–1 Low–medium; ad-hoc self-update or manual downloads Almost no chain of custody; signatures optional; no central repo or provenance expectations.
    npm (JavaScript) 0–1 High frequency, but low reliability of safety; semver + lockfiles Registry accounts can publish arbitrary tarballs; no default signed provenance; transitive deps explode risk.
    PyPI / pip (Python) 0–1 Similar to npm; pip + requirements/lockfiles Tarballs/wheels from arbitrary maintainers; no mandatory signing; provenance work (e.g., PEP 740) is emerging but not standard.
    Composer / Packagist (PHP) 0–1 Good tooling, but same “trust the registry” model Packages pulled from Packagist/VCS; no mandatory signatures; dependency graph trust is social, not cryptographic.
    CPAN (Perl) 0–1 Mature ecosystem, but manual/legacy in many flows Historically minimal provenance; mirrors and authors are trusted by convention, not by SLSA-style attestations.
    Other language registries (RubyGems, crates.io, etc.) 0–1 Similar to npm/PyPI; lockfiles help reproducibility Central registries, but no default SLSA provenance; integrity is mostly TLS + registry operator trust.