photoprism-nsfw

LOW

maintainer orphaned 2 votes scanned 2026-11-01 00:21:48.120785

View on AUR

Why flagged

The package downloads a pre-trained machine learning model (non-executable data) from the project's own 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 the project's own 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1 higher static finding superseded - not the current verdict (shown for transparency)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=nsfw
    
      5pkgname="${_pkgname}-${_pkgsuff}"
    
      6pkgver="20200722.072056"
    
      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=('eb5e5d22e37961c3192a4757efff883f77bc989c0efceabb1395e0959d966f14')
    
      14
    
      15package() {
    
      16    find "${_pkgsuff}" -type f -exec install -Dm644 {} "${pkgdir}/usr/share/${_pkgname}/"{} \;
    
      17}
    
      18

Scan history

Scanned at (UTC)	Severity	Rules
2026-11-01 00:21:48	Low	2
2026-10-31 00:07:41	Low	2
2026-10-30 00:29:30	Low	2
2026-10-29 00:13:55	Low	2
2026-10-28 00:06:54	Low	2
2026-10-27 00:23:28	Low	2
2026-10-26 00:12:40	Low	2
2026-10-25 00:20:48	Low	2
2026-10-24 00:14:55	Low	2
2026-10-23 00:02:19	Low	2
2026-10-22 00:13:10	Low	2
2026-10-21 00:12:50	Low	2
2026-10-20 00:10:31	Low	2
2026-10-19 00:03:55	Low	2
2026-10-18 00:06:55	Low	2
2026-10-17 00:21:55	Low	2
2026-10-16 00:12:47	Low	2
2026-10-15 00:28:05	Low	2
2026-10-14 00:06:47	Low	2
2026-10-13 00:23:45	Low	2