SES-shim VS warehouse

I used E in the 90s: http://erights.org/

I haven't kept up with newer systems but I've heard of https://github.com/endojs/endo and just came across http://reports-archive.adm.cs.cmu.edu/anon/home/anon/isr2017... (which says "in the style of the E programming language" -- that's as far as I've read) while looking that up.

WebAssembly was designed to follow the same capability security principles. CHERI too as someone else just brought up.

There are other potential solutions I haven’t explored close enough (like Endo and SES), or completely omitted as they’re based on an imperfect blacklist-based approach to security (like sandboxed WebWorkers). However, the mentioned 4 solutions are the top contenders, at least in my mind.

I don't know why you are being silently downvoted, as I think it is worth talking about the potential of using static analysis to improve things.

One promising approach is Endo[0] which "uses LavaMoat to automatically generate reviewable policies that determine what capabilities will be distributed to third party dependencies."

[0] https://github.com/endojs/endo

Agoric moved forward and Realms gave way to SES

https://github.com/endojs/endo/tree/master/packages/ses

And Endo is a set of tools (being) built around it to make it more practical for particular usecases

Yea you could restrict the app by whitelisting only the network services and folders that it will use and that's pretty valuable though at least on Linux could already easily be achieved otherwise. It's good that Deno makes it easy but let's be honest, most people will just pass -A.

I'd love to see a permissions system on a library basis. It would ask the first time a dependency is added and when a new permission is requested after an update. Javascript doesn't make that easy though by being so dynamic. SES could maybe help: https://github.com/endojs/endo/blob/master/packages/ses/READ...

I was poking around on the internet a bit earlier and I found this project. It looks pretty cool, and I figured perhaps a few of y'all might find it cool too!

I have no idea if it actually sandboxes networking by default. This other project, endo[0], seems to add some of that functionality.

Regardless of the maturity though, it makes me excited to see this type of work getting done now!

(What made me want to research it was this[1] thread from the other day.)

0: https://github.com/endojs/endo

1: https://news.ycombinator.com/item?id=30215212

Fortunately the problem could become more tractable if something like SES / Endo takes off:

"Endo protects program integrity both in-process and in distributed systems. SES protects local integrity, defending an application against supply chain attacks: hacks that enter through upgrades to third-party dependencies. Endo does this by encouraging the Principle of Least Authority. ... Endo uses LavaMoat to automatically generate reviewable policies that determine what capabilities will be distributed to third party dependencies."

https://github.com/endojs/endo

Yeah. JavaScript is probably the closest to being there (with things like SES[0], LavaMoat[1], etc.) but we're not quite there yet. It's just shocking that this sort of thing is as seemingly obscure as it is; it's like the whole industry has collectively thrown up their hands and said code execution is unavoidably radioactively dangerous. (While simultaneously using package managers that... well.) But it doesn't have to be!

[0] https://github.com/Agoric/ses-shim

[1] https://github.com/LavaMoat/LavaMoat

pip install PackageName: installs a package (you can browse the available packages in the Python Package Index)

python3 -m pip install \ --trusted-host test.pypi.org --trusted-host test-files.pythonhosted.org \ --index-url https://test.pypi.org/simple/ \ --extra-index-url https://pypi.org/simple/ \ piper_whistle==$(python3 -m src.piper_whistle.version)

In my experience so far, I can use a vast amount of the Python Standard Library to build Wasm-powered serverless applications. The caveat I currently understand is that Python’s implementation of TCP and UDP sockets, as well as Python libraries that use threads, processes, and signal handling behind the scenes, will not compile to Wasm. It is worth noting that a similar caveat exists with libraries that I find on The Python Package Index (PyPI) site. While these caveats might limit what can be compiled to Wasm, there are still a ton of extremely powerful libraries to leverage.

We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable format and publish it to a repository, such as PyPI. We strongly recommend you to learn more about this tool by reading the official documentation.

From there, I needed to learn a bit about PyPi or Python Package Index, which is the home for all the wonderful packages that you know if you have ever run the handy pip install command. PyPi has a pretty quick and easy onboarding, which requires a secured account be created and, for the purposes of submitting packages from CLI, an API token be generated. This can be done in your PyPi profile. Once logg just navigate to https://pypi.org/manage/account/ and scroll down to the API tokens section. Click “Add Token” and follow the few steps to generate an API token which is your access point to uploading packages. With all this in place, I was able to use twine to handle the package upload. First I needed to install twine, again as simple as pip install twine. In order for twine to access my API token during the package upload process, it needed to read it from .pypirc file that contains the token info. For some that file may exist already, for me I was required to create it. Working in windows I simply used a text editor to create it in my home user directory ($HOME/.pypirc). The file contents had a TOML like format looked like this:

I have published the package to Python Package Index, commonly called PyPi, and in this post, I'll be sharing the steps I had to follow in the process.

Register at PyPI.org

According to the stats on the original link, there are over 25,000 identified secret ids/keys/tokens in the data. And it looks like that's just identifiable secrets, e.g. "Google API Keys" that I'm guessing are identifiable because they have a specific pattern, and may be missing other secrets that use less recognizable patterns.

I mean, sure, compared to the 478,876 Projects claimed on https://pypi.org/, that's a pretty small minority. On the other hand, I'd guess a many Python packages don't use these particular services, or even need to connect to a remote service at all, so the area for this class of mistake should be even smaller.

And mistakes do happen, but that's a pretty big thing to miss if you are knowingly publishing your code with the expectation other people will be reading it.

PyPi package

Does pypi.org display the Union of all keywords, the keywords of the most recent release, the keywords of the first release or some other weird combination like the intersection?