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ossillate-inc
packj
Python2022–2026
ossillate-inc / packj

packj

Packj stops :zap: Solarwinds-, ESLint-, and PyTorch-like attacks by flagging malicious/vulnerable open-source dependencies ("weak links") in your software supply-chain

10Distinct people
81Mentions
0Explicit recommenders
695GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Packj stops :zap: Solarwinds-, ESLint-, and PyTorch-like attacks by flagging malicious/vulnerable open-source dependencies ("weak links") in your software supply-chain

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 10:49:33 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year81 dated mentions

Observed mentions: 2022-05-25 19:21:13 UTC to 2026-08-31 06:47:10 UTC.

01020302022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 31 mentions; 2 submissions, 29 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 31 mentions; 1 submissions, 30 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 8 mentions; 0 submissions, 8 comments20242025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 7 mentions; 3 submissions, 4 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC31229
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC31130
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC808
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC404
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC734

What Hacker News says

31 sources
Creator of Packj [1] here. How do you envision sandboxing/security policies will be specified? Per-lib policies when you've hundreds of dependencies will become overwhelming. Having built an eBPF-based sandbox [2], I anticipate that accuracy will be another challenge here: too restrictive will block functionality, too permissive defeats the purpose. 1. https://github.com/ossillate-inc/packj flags malicious/risky NPM/PyPI/RubyGems/Rust/Maven/PHP packages by carrying out static+dynamic+metadata analysis. 2. Sandboxing file system w/o superuser privileges: https://github.com/sandfs/sandfs.github.io
In Rust without crates.io
I’ve been building Packj [1] to detect publicly UNKNOWN dummy, malicious, abandoned, typo-squatting, and other "risky" PyPI/NPM/Ruby/PHP/Maven/Rust packages. It carries out static/dynamic/metadata analysis and scans for 40+ attributes such as num funcs/files, spawning of shell, use of SSH keys, network communication, use of decode+eval, etc. to flag risky packages. Packj Github action [2] can alert if a risky dependency is pulled into your build. 1. https://github.com/ossillate-inc/packj 2. https://github.com/ossillate-inc/packj-github-action
In Rust without crates.io
Good to see more attempts at analyzing dependencies for malware. Plug: we've been building Packj [1] to detect malicious Python/NPM/Ruby/Rust/Java/PHP packages. It carries out static/dynamic/metadata analysis to look for "suspicious” attributes such as spawning of shell, use of files, network communication, use of decode+eval, mismatch of GitHub code vs packaged code, and several more. 1. https://github.com/ossillate-inc/packj
In Making Rust supply chain attacks harder with Cackle
I've been building Packj [1] to detect exactly such attacks. It can flag dummy, malicious, abandoned, typo-squatting, and other "risky" PyPI/NPM/Ruby/PHP/Maven/Rust packages by carrying out static/dynamic/metadata analysis. It scans for 40+ attributes such as num funcs/files, spawning of shell, use of SSH keys, network communication, use of decode+eval, etc. to flag risky packages. Packj Github action [2] can alert if a risky dependency is pulled into your build. 1. https://github.com/ossillate-inc/packj 2. https://github.com/ossillate-inc/packj-github-action
In A Deep Dive into 70 Layers of Obfuscated Info-Stealer Malware
I've been building Packj [1] to detect dummy, malicious, abandoned, typo-squatting, and other "risky" PyPI/NPM/Ruby/PHP/Maven/Rust packages. It carries out static/dynamic/metadata analysis and scans for 40+ attributes such as num funcs/files, spawning of shell, use of SSH keys, network communication, use of decode+eval, etc. to flag risky packages. Packj Github action [2] can alert if a risky dependency is pulled into your build. 1. https://github.com/ossillate-inc/packj 2. https://github.com/ossillate-inc/packj-github-action
In The Bogus CVE Problem
I've been building Packj [1] to detect dummy, malicious, abandoned, typo-squatting, and other "risky" PyPI/NPM/Ruby/PHP/Maven/Rust packages. It carries out static/dynamic/metadata analysis and scans for 40+ attributes such as num funcs/files, spawning of shell, use of SSH keys, network communication, use of decode+eval, mismatch of GitHub code vs packaged code (provenance), change in APIs across versions, etc. to flag risky packages. 1. https://github.com/ossillate-inc/packj
In A study of malicious code in PyPI ecosystem
Plug: I've been building Packj [1] to detect dummy, malicious, abandoned, typo-squatting, and other "risky" packages. It carries out static/dynamic/metadata analysis and scans for 40+ attributes such as num funcs/files, spawning of shell, use of SSH keys, network communication, use of decode+eval, mismatch of GitHub code vs packaged code (provenance), change in APIs across versions, etc. to flag risky packages. 1. https://github.com/ossillate-inc/packj
In Malicious libraries can steal all your application secrets in Elixir

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