photoprism-nasnet

LOW

maintainer orphaned 2 votes scanned 2026-09-17 00:27:14.276658

View on AUR

Why flagged

The package downloads a pre-trained machine learning model (non-executable data) from a project-controlled domain; worst case is data tampering, not code execution.

Triggered rules

Low AI review downgraded a static finding llm_review

The static rules flagged this MEDIUM, but an AI model (qwen/qwen3-235b-a22b-07-25) reviewed the full PKGBUILD and judged it LOW (confidence 95%): The package downloads a pre-trained machine learning model (non-executable data) from a project-controlled domain; worst case is data tampering, not code execution.

1 higher static finding superseded - not the current verdict (shown for transparency)

Medium source=() URL on a non-standard host source_untrusted_domain

One or more source=() URLs point to a host outside the trusted allowlist (github.com, gitlab.com, codeberg.org, pypi.org, …).

PKGBUILD:12 source=("https://dl.photoprism.app/tensorflow/${_pkgsuff}.zip")

PKGBUILD

1 offending line(s) highlighted

      1# Maintainer: devome <evinedeng@hotmail.com>
    
      2
    
      3_pkgname=photoprism
    
      4_pkgsuff=nasnet
    
      5pkgname="${_pkgname}-${_pkgsuff}"
    
      6pkgver="20200722.072055"
    
      7pkgrel=1
    
      8pkgdesc="PhotoPrism's ${_pkgsuff} pre-training model"
    
      9arch=("any")
    
      10url="https://github.com/${_pkgname}/${_pkgname}"
    
      11license=('AGPL-3.0-or-later')
    
      12source=("https://dl.photoprism.app/tensorflow/${_pkgsuff}.zip")
    
      13sha256sums=('a0e1ad8d5a5a0ff9efc4b3ed89898bf008563ee36cacd0c804a384f8fc661588')
    
      14
    
      15package() {
    
      16    find "${_pkgsuff}" -type f -exec install -Dm644 {} "${pkgdir}/usr/share/${_pkgname}/"{} \;
    
      17}
    
      18

Scan history

Scanned at (UTC)	Severity	Rules
2026-09-17 00:27:14	Low	2
2026-09-16 00:03:17	Low	2
2026-09-15 00:25:31	Low	2
2026-09-14 00:27:57	Low	2
2026-09-13 00:19:54	Low	2
2026-09-12 00:25:17	Low	2
2026-09-11 00:19:22	Low	2
2026-09-10 00:22:44	Low	2
2026-09-09 00:04:09	Low	2
2026-09-08 00:18:08	Low	2
2026-09-07 00:30:15	Low	2
2026-09-06 00:17:06	Low	2
2026-09-05 00:16:27	Low	2
2026-09-04 00:03:13	Low	2
2026-09-03 00:15:47	Low	2
2026-09-02 00:02:31	Low	2
2026-09-01 00:11:19	Low	2
2026-08-31 00:19:57	Low	2
2026-08-30 00:04:14	Low	2
2026-08-29 00:29:17	Low	2