Contents VS packj

I've been using Qubes for the past 2 years while going to school, and I found it really fun and helpful. A lot of professors had me download random closed source software from random websites during the pandemic, and it was easier to download it to a VM than to convince them about Free Software. More than that though it's been really helpful just for my own workflow. I can hit a keybind and start working from essentially a fresh linux install. It's easier to stay on task when each VM is designed to only do one kind of task. It's also nice having debian, fedora, windows, kali, and whonix all easily accessible on the same machine.

The main sticking point for me is that Qubes is reasonably secure from _myself_. I make mistakes. I first started using linux with an Ubuntu install that I broke a year later because I accidentally added in a space when typing `rm -rf ~/Arduino` which made it `rm -rf ~ /Arduino`. On Qubes I can `sudo rm -rf /` on the VM I'm using right now and not break a sweat. I have a keybind to spawn a disposable "airgapped" VM to deal with sensitive or untrusted data, and it helps knowing that even if I mess up with whatever I'm doing, the VM will keep everything reasonably contained.

Some cool things that Qubes has outside of just VMs are its features enabled by the communication between VMs. Notable ones are Split GPG (https://www.qubes-os.org/doc/split-gpg/) which let you use a VM as if it were a smartcard for GPG and Split SSH (https://github.com/Qubes-Community/Contents/blob/master/docs...) which let you isolate your private SSH keys from your VM running your SSH client.

There are some sticking points around Qubes. For instance, I use Tailscale to connect my computers to each other from anywhere. Tailscale's install scripts add their keys to my VM's package manager for updates and installs. The proper way to do this in Qubes is to clone a TemplateVM, run Tailscale's install script, update, install, and then base an AppVM off of it. But that creates an entire new OS taking up storage and requiring updates. You can hack a way around this in an AppVM which saves a considerable amount of space, but it takes a lot of upfront time to do and requires you to manually update it.

Another sticking point is hardware acceleration. The desktop environment has access to hardware acceleration, so it runs fine, but opening videos in AppVMs is all software decoded. I'm on a Thinkpad T580 and it can run 1080p videos, but the fans turn on and can't do 4K. When I want to game or do something GPU heavy I either stream from my tower or completely switch over.

Overall, I'm really happy with Qubes and I'm planning to stick with it on my laptops.

I can't speak to 17+ GPUs - but have successfully passed through a single high-end GPU for gaming via following these instructions: https://github.com/Qubes-Community/Contents/blob/master/docs/customization/gaming-hvm.md

Yes its possible. But check here under "Audio Support", also says at the bottom that windows 7, 10 & 11 are fully supported. As for how to install Windows, here. And installing Windows 11 by disabling the TPM check: https://forum.qubes-os.org/t/windows-11-in-qubes/6759/8.

Follow this guide https://github.com/Qubes-Community/Contents/blob/master/docs/configuration/vpn.md

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.