Thumbnail for Replication Software for "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web"

Replication Software for "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web"

Important usage condition: Use and redistribution are governed by MIT. Review and comply with the license before using the data.
Persistent identifier
doi:10.60507/FK2/F4VQRH
Published version
1.0
Publication date
2026-01-22
License
MIT

Description

This dataset contains software artifacts for the paper "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web". It includes all software artifacts (crawler, Aletheia implementation, evaluation scripts) used for analysis. For the re-implementation of Dolos (dolospy), please check the related material.

Creators

Keywords

javascript, bundles, software composition analysis, update behavior

Files

Before downloading: Use and redistribution are governed by MIT. Review and comply with the license before using the data.
FileTypeBytesChecksum
USAGE.mdtext/markdown2974MD5 2c624e22fcfa95d6f0dd6d1c6dbde10a
readme.txttext/plain2856MD5 8b76cf2041bb631edcda6f0e5e797977
requirements.txttext/plain41MD5 9b395415b38184b079b6e02030fbc83f
Dockerfileapplication/x-docker-file371MD5 f25e060a37613d1acc69fed094664238
puppeteer.mjsapplication/x-javascript8437MD5 10230469336cd880204bbbeaa8c560cc
docker-compose.ymlapplication/yaml4581MD5 d9874430b058839bc0bb59a08479ab0a
domainlist.pytext/x-python1399MD5 2df8ec6ffbbfe45abe3bc3460c49fe9d
Dockerfileapplication/x-docker-file962MD5 c03ed0fe6f21b68059f318eb5cfd94f9
rabbitmq.conftext/plain29MD5 f4b6d7d40be8573eb4c7393c7e9fcf9b
requirements.txttext/plain23MD5 2ad69b65dfd12d497c3169c7cd65c1b1
bundlefetcher-stealth.pytext/x-python3604MD5 2d2c103f197a7f6f795289abe569a877
Dockerfileapplication/x-docker-file338MD5 28ba72d5f1378078495d68c78c86e15b
throttle.pytext/x-python1116MD5 e8585fe4852833d9942e4a38d4cd2834
requirements.txttext/plain39MD5 43b4211a0e5e6b72ef0281fecddd66a4
entrypoint.shapplication/x-shellscript124MD5 a72283d98a83758f2a253282d7888766
Dockerfileapplication/x-docker-file201MD5 83b4230f466ebfc3222c3451a488bad0
requirements.txttext/plain23MD5 2ad69b65dfd12d497c3169c7cd65c1b1
hev.ymlapplication/yaml185MD5 6c208b9e6153fca338a4b50ddacf1490
Dockerfileapplication/x-docker-file165MD5 aff88dc30838dcef00221563b1dfb7be
separating-collector.pytext/x-python2995MD5 c4edcd9abcb6f0d03791ec3ce3396d7e
Dockerfileapplication/x-docker-file183MD5 4e54c40f0a75f36ba57fde3dae118a12
__init__.pytext/x-python10201MD5 49b0444c87d1235c93a9c587e1fc601a
requirements.txttext/plain23MD5 2ad69b65dfd12d497c3169c7cd65c1b1
object-storage.pytext/x-python1156MD5 78ba537b12e6f4646676ffdf4f6d9534
pyproject.tomlapplication/toml270MD5 14f6906aca9e20a444b5edb60dbb9ab0
pack_bundles.pytext/x-python2215MD5 955d3d1a8d746f5a1cc7ae0b348bf3db
bun-serve.mjsapplication/x-javascript1251MD5 326ee886e869e25876b7bce8d2abb131
common.pytext/x-python7256MD5 aa6c25ae929ffaefa9718000a7bc63b5
generate_bundles.pytext/x-python6732MD5 72472bdb6026604a7f002598147423b6
update-patterns-pnpm.ipynbapplication/x-ipynb+json19105MD5 9ea8ceb03f53f94576e714b8f4f7a0aa
aletheia-preprocessor.worker.mjsapplication/x-javascript330MD5 03d01fcb74b17dafeb26d9f6368bf8a8
file-selector.mjsapplication/x-javascript18309MD5 ca924fdcad4619cac835676cf5c79f6d
update-patterns-cdn.ipynbapplication/x-ipynb+json30789MD5 424766feb87dfdb71cef8b118b7b4d3e
aletheia-serializer.mjsapplication/x-javascript3826MD5 0c47041e114325daf03eb045354a3459
identify.mjsapplication/x-javascript11800MD5 3ff10c4413cb152d0000eab570893691
npm_mirror.pytext/x-python2425MD5 d6dbb8ac9edf1883770a81f223eeeb7f
lab-bundler-study.ipynbapplication/x-ipynb+json16995MD5 58ef9f37bbd94b7819171f155f8db89f
real-aletheia.ipynbapplication/x-ipynb+json16760MD5 8a3b78e088120517634b4b724a8c99fd
identify_compartments.mjsapplication/x-javascript20676MD5 a40a55abe68f0ef834bc1f38f4ec33d7
vulnerability-database.pytext/x-python6749MD5 ee31c51dc40056cef2528e184f7f8489
biome.jsonapplication/json496MD5 33c91f04f9e74bead8d68370b85f67bb
local_version_fetcher.pytext/x-python2349MD5 dc9683436fac3e5e247cf7425d5d0c91
real-bundler-study.ipynbapplication/x-ipynb+json15768MD5 6aece082637e9fe7cc2860954cf2036d
lab-aletheia.ipynbapplication/x-ipynb+json21629MD5 d25a17950af73150a5fd21ee03d1bcdb
file-selection.pdfapplication/pdf200611MD5 20f4c96871ee78b976d6422dfcbafac5
aletheia_speed_eval.pytext/x-python10451MD5 649417594fdee2dd96a722d083a0fa2d
aletheia_speed_eval_recover.pytext/x-python4325MD5 543883e4bf33a5c732271b6e1d2bf0f8
aletheia_speed_eval_real_vd.pytext/x-python10172MD5 fbaa517e5e9e40af51137f1a33588fd3
identify_bundler.mjsapplication/x-javascript23130MD5 068ad52388ff5e98fa633790de63a80a
utils.mjsapplication/x-javascript464MD5 39d620da675b85c0f4a2bb99f27b0c80
bundler-prevalence.ipynbapplication/x-ipynb+json5421MD5 b2bc7b74c0c5acaf80493ef34e95cf14
package.jsonapplication/json342MD5 f6a15f4a75985d486d8fdc7644108078
cdn-urls.ipynbapplication/x-ipynb+json8489MD5 e154795007f0b102193bdc82f58065e3
aletheia-preprocessor.mjsapplication/x-javascript9368MD5 6962870da65948ec97628c21135006ca
update-patterns-aletheia.ipynbapplication/x-ipynb+json60515MD5 6aa102ea51c16c3735df38406ecab5db
analyze_bundle_dataset.pytext/x-python29463MD5 3ba7758094ef773372b3a6022e1f7725

Citation

Swierzy, Ben, 2026-01-22, Replication Software for "Insecure Ingredients? Exploring Dependency Update Patterns of Bundled JavaScript Packages on the Web", doi:10.60507/FK2/F4VQRH, V1.0

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Expected crawler behaviour

Use a stable, truthful User-Agent with product/version and a working contact URL. Across all IP addresses and HTTP connections used by one crawler identity, allow no more than 5 requests in flight and wait at least 20 seconds between request starts. Crawl URLs listed in the catalog sitemap, including file pages and download URLs when they are published, use conditional requests, honor Retry-After, and apply exponential backoff after errors.

The welcome page may link to the interactive repository for human navigation. Automated clients must not treat that human link as a catalog crawl target.

Read the live machine-readable crawler policy before and during a crawl. Stop crawling when it reports CPU or memory utilization at or above 80% and 80% respectively.