cli VS packj

Co-funder @ Phylum here (https://phylum.io) We have been actively scanning dependencies across npm (and PyPI, RubyGems, Crates.io, etc.) for nearly three years now; quite successfully, I might add (https://blog.phylum.io/tag/research/). We _automatically_ hit on this package when it was published, and our research team has been all over it.

A collective of us are active in Discord (https://discord.gg/Fe6pr5eW6p), continuing to hunt attacks like these. If that's something that interests you, we'd love to have you!

In addition to this, we've released several open source tools to help protect against supply chain attacks:

1. https://github.com/phylum-dev/birdcage - Birdcage is a cross-platform embeddable sandbox that's been baked into our CLI (which wraps npm, pypi, etc.) to sandbox package installations

2. https://github.com/phylum-dev/cli - Our CLI provides an extension capability so you can lock down random executables you might use during your software development (define _what_ it's allowed to do, e.g. network access, and then lock it down with Birdcage)

We also have a variety of integrations, including Github, Gitlab, BitBucket, CircleCI, Tines, Sophos, etc.

https://docs.phylum.io/docs/integrations_overview

It's unfortunate that software dependency attacks continue to plague open source registries. It seems unlikely this will let up in the near future. We are continuing to work closely with the open source ecosystems to try and get these sorts of packages removed when they pop up.

We're actively working on this with our sandbox (https://github.com/phylum-dev/birdcage). We've wrapped the likes of pip, yarn, and npm already and are making moves to similarly provide support for cargo.

Currently comes as part of the Phylum CLI (https://github.com/phylum-dev/cli), so that doing something like:

    phylum npm install 

cli - uses sandbox to block packages during installation, performs pre-install checks to determine (by hitting the API) if the package performs actions congruent with malware, e.g. phylum pip install requests will use pip wrapped by the sandbox to install requests after verifying that it doesn't have malware like behavior.

This is bundled with our CLI tool today (which is also open source) and allows you to install packages with phylum npm install . We currently support npm, yarn and pip and are planning on rolling out further support for other ecosystems in coming months.

We open sourced our tooling to help with this problem specifically. We have an extension framework that wraps npm for three purposes:

Our CLI tool (also open source and free) will check for typosquats, dependency confusion, malicious code, vulnerabilities, etc. in your package dependencies. Works for pypi, npm, rubygems, maven, nuget and very recently golang and rust crates.

This is built into the Phylum CLI so you can do things like:

This is one of the projects we're working on (and open sourcing)!

Currently allows you to specify allowed resources during the package installation in a way very similar to what you've outlined [1].

The sandbox itself lives here [2] and can be integrated into other projects.

1. https://github.com/phylum-dev/cli/blob/main/extensions/npm/P...

2. https://github.com/phylum-dev/birdcage

We will start here with a slightly more in-depth, custom version of the existing NPM shim extension - a tool that enforces default project policy when installing NPM packages. This custom extension will do some additional custom validation before allowing the installation process to continue.

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.

Cool project. How do you feel about projects like OpenSSF scorecards or even the checks that socket.dev do today on these packages to help determine risk?

https://github.com/ossillate-inc/packj/blob/main/.packj.yaml

Secondly, what about impersonation where attackers imitate a popular package and its respective metadata?

I built Packj [1] sandboxing for securing “pip/NPM install”. It uses strace for sandboxing and blocks access to sensitive files and limits traffic to known-good IP addresses.

1. https://github.com/ossillate-inc/packj

Great work! This provenance check is going to be very valuable for enforcing supply-chain security. We are working on adding support to check for provenance in Packj.

1. https://github.com/ossillate-inc/packj flags risky/malicious NPM/PyPI/Ruby dependencies

Cool project. Would love to integrate this in Packj [1] as one of the open-source SAST scanners. Will DM you.

1. https://github.com/ossillate-inc/packj flags malicious/risky open-source dependencies.

Very cool! I've built something similar, but for packages: https://github.com/ossillate-inc/packj Would love to talk.

Working on a marketplace (based on Packj [1]) to allow open-source developers to make money by selling "assured" software artifacts.

1. Packj https://github.com/ossillate-inc/packj flags malicious and other "risky" open-source dependencies in your software supply chain.

I’ve created Packj sandbox [1] for “safe installation” of PyPI/NPM/Rubygems packages

1. https://github.com/ossillate-inc/packj

It DOES NOT require a VM/Container; uses strace. It shows you a preview of file system changes that installation will make and can also block arbitrary network communication during installation (uses an allow-list).

Great to see a developer-friendly tool around OSV! Packj [1] uses OSV APIs to report vulnerable PyPI/NPM/Rubygems packages. Disclaimer: I built it.

1. https://github.com/ossillate-inc/packj flags malicious/risky packages.