python-mkl-service-bin

MEDIUM

maintainer carlosal1015 0 votes scanned 2026-09-17 03:24:22.735270

View on AUR

Why flagged

The package downloads a prebuilt binary tarball from Anaconda's repository, which is not on the standard AUR whitelist; while Anaconda is a legitimate source, the download of unverifiable prebuilt binaries from a non-standard host poses a supply-chain risk if the host were compromised or the URL repurposed.

Triggered rules

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:16 source=(https://repo.anaconda.com/pkgs/main/linux-64/${_pkgname}-${pkgver}-${_build}.tar.bz2)

Medium AI review llm_review

An AI model (qwen/qwen3-235b-a22b-2507) reviewed this and agrees it is MEDIUM (confidence 95%): The package downloads a prebuilt binary tarball from Anaconda's repository, which is not on the standard AUR whitelist; while Anaconda is a legitimate source, the download of unverifiable prebuilt binaries from a non-standard host poses a supply-chain risk if the host were compromised or the URL repurposed.

PKGBUILD

1 offending line(s) highlighted

      1# Maintainer: Carlos Aznarán <caznaranl@uni.pe>
    
      2# Contributor: Chris Billington <chrisjbillington@gmail.com>
    
      3pkgname=python-mkl-service-bin
    
      4_pkgname=mkl-service
    
      5pkgver=2.7.2
    
      6_build=py314h365c7f6_0
    
      7pkgrel=1
    
      8pkgdesc="Python bindings to MKL service functions - prebuilt binaries from Anaconda"
    
      9arch=(x86_64)
    
      10license=(BSD-3-Clause)
    
      11url="https://github.com/IntelPython/mkl-service"
    
      12provides=("python-mkl-service=${pkgver}")
    
      13conflicts=(python-mkl-service)
    
      14depends=(python intel-oneapi-mkl)
    
      15makedepends=(jq)
    
      16source=(https://repo.anaconda.com/pkgs/main/linux-64/${_pkgname}-${pkgver}-${_build}.tar.bz2)
    
      17sha256sums=('98304befe64ebab136ec308c1e4d696d6b918d96bd5e4e12ba3f296e77bd7bdd')
    
      18
    
      19prepare() {
    
      20  # Prefix replacement
    
      21  for row in $(jq -c '.paths[] | select(has("prefix_placeholder"))' "info/paths.json"); do
    
      22    path=$(echo $row | jq -r '._path')
    
      23    prefix=$(echo $row | jq -r '.prefix_placeholder')
    
      24    sed -i "s:${prefix}:/usr:g" "${path}"
    
      25  done
    
      26}
    
      27
    
      28package() {
    
      29  mkdir "${pkgdir}/usr"
    
      30  cp -drp --no-preserve=ownership "${srcdir}/lib" "${pkgdir}/usr/lib"
    
      31  install -D -m 644 "${srcdir}/info/licenses/LICENSE.txt" "${pkgdir}/usr/share/licenses/${pkgname}/LICENSE"
    
      32}
    
      33

Changes since previous scan

--- PKGBUILD @ 2026-09-17 00:27
+++ PKGBUILD @ 2026-09-17 03:24
@@ -2,8 +2,8 @@
 # Contributor: Chris Billington <chrisjbillington@gmail.com>
 pkgname=python-mkl-service-bin
 _pkgname=mkl-service
-pkgver=2.5.2
-_build=py314hacdc0fc_0
+pkgver=2.7.2
+_build=py314h365c7f6_0
 pkgrel=1
 pkgdesc="Python bindings to MKL service functions - prebuilt binaries from Anaconda"
 arch=(x86_64)
@@ -14,7 +14,7 @@
 depends=(python intel-oneapi-mkl)
 makedepends=(jq)
 source=(https://repo.anaconda.com/pkgs/main/linux-64/${_pkgname}-${pkgver}-${_build}.tar.bz2)
-sha256sums=('e0f4e8ecc1f1ab001a1d3f8c9bacd36ab48f209e1746a5885efec53e288d87c3')
+sha256sums=('98304befe64ebab136ec308c1e4d696d6b918d96bd5e4e12ba3f296e77bd7bdd')
 
 prepare() {
   # Prefix replacement

Scan history

Scanned at (UTC)	Severity	Rules
2026-09-17 03:24:22	Medium	2
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