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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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 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

81 sources
Built Packj [1] to audit dependencies easily from CLI. 1. Packj (https://github.com/ossillate-inc/packj) detects malicious PyPI/NPM/Ruby/PHP/etc. dependencies using behavioral analysis. It uses static+dynamic code analysis to scan for indicators of compromise (e.g., spawning of shell, use of SSH keys, network communication, use of decode+eval, etc). It also checks for several metadata attributes to detect bad actors (e.g., typo squatting).
In Malicious npm packages detected across Red Hat Cloud Services
Built Packj [1] to do exactly this. 1. Packj (https://github.com/ossillate-inc/packj) detects malicious PyPI/NPM/Ruby/PHP/etc. dependencies using behavioral analysis. It uses static+dynamic code analysis to scan for indicators of compromise (e.g., spawning of shell, use of SSH keys, network communication, use of decode+eval, etc). It also checks for several metadata attributes to detect bad actors (e.g., typo squatting).
In Shai-Hulud Themed Malware Found in the PyTorch Lightning AI Training Library
This is a great initiative. Thanks for sharing! I will use it to create my personal cache of package registries (beyond obvious advantages of caching, it can also mitigate typo-squatting attacks). BTW, if there's an interest, I'd love to collaborate and integrate Packj [1] audit for malware scans. 1. Packj (https://github.com/ossillate-inc/packj) detects malicious PyPI/NPM/Ruby/PHP/etc. dependencies using behavioral analysis. It uses static+dynamic code analysis to scan for indicators of compromise (e.g., spawning of shell, use of SSH keys, network communication, use of decode+eval, etc). It also checks for several metadata attributes to detect bad actors (e.g., typo squatting).
In Show HN: Artifact Keeper – Open-Source Artifactory/Nexus Alternative in Rust
We scan PyPI packages regularly for malware to provide a private registry of vetted packages. The tech is open-sourced: Packj [1]. It uses static+dynamic code/behavioral analysis to scan for indicators of compromise (e.g., spawning of shell, use of SSH keys, network communication, use of decode+eval, etc). It also checks for several metadata attributes to detect impersonating packages (typo squatting). 1. https://github.com/ossillate-inc/packj
In Analysis of supply-chain attack on Ultralytics
This is exactly why I'm building Packj audit [1]. It detects malicious PyPI/NPM/Ruby/PHP/etc. dependencies using behavioral analysis. It uses static+dynamic code analysis to scan for indicators of compromise (e.g., spawning of shell, use of SSH keys, network communication, use of decode+eval, etc). It also checks for several metadata attributes to detect bad actors (e.g., typo squatting). 1. https://github.com/ossillate-inc/packj
In Ultralytics AI model hijacked to infect thousands with cryptominer
Good to see Packj[1] as one of the malware scanners used. 1. https://github.com/ossillate-inc/packj Packj detects malicious PyPI/NPM/Ruby/PHP/etc. dependencies using behavioral analysis. It uses static+dynamic code analysis to scan for indicators of compromise (e.g., spawning of shell, use of SSH keys, network communication, use of decode+eval, etc). It also checks for several metadata attributes to detect bad actors (e.g., typo squatting).
In A Study of Malware Prevention in Linux Distributions
Plug: I’ve been building Packj [1] to detect malicious PyPI/NPM/Ruby/PHP/etc. dependencies using behavioral analysis. It uses static+dynamic code analysis to scan for indicators of compromise (e.g., spawning of shell, use of SSH keys, network communication, use of decode+eval, etc). It also checks for several metadata attributes to detect bad actors (e.g., typo squatting). 1. https://github.com/ossillate-inc/packj
In Cybercriminals pose as "helpful" Stack Overflow users to push malware

Showing the 15 most recent of 81 sources. Enable JavaScript to search and browse every indexed mention.

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