> Looking back ten years to `left-pad`, are there more successful attacks now than ever?

I can't vouch for the number of attacks, but, and since we are talking about Python, nothing substantially changed since the time of `left-pad`. The same bad things that enabled supply chain attacks in Python ten years ago are in place today. However, it looks like there are more projects and they are more interconnected than before, so, it's likely that there are either more supply chain attacks, or that they are more damaging, or both.

Here's my anecdotal experience with Python's packaging tools. For a while, I was maintaining a package to parse libconfuse configuration language. It started as a Python 2.7 project, but at the time there was already some version of Python 3 available, so, it was written in a way that was supposed to be future-proof.

I didn't need to change the code of the project in the last ten or so years, but roughly once a year something would break in the setup.py. Usually, because PyPA decided to remove a thing that didn't bother anyone.

When Python 3.13 came out, as clockwork, setup.py broke. I rolled up my sleeves and removed the dependency on setuptools, instead, I wrote some Python code that generated a wheel from the project's sources. I didn't look up the specification of the RECORD file in dist-info directory, and assumed that sha256().hexdigest() will generate the checksums in the desired format. And that's how I shipped my packages...

Some time later, the company added an AI reviewer to the company's repo and it discovered that instead of hexdigest() the checksums have to be base64-encoded and then padding removed...

Now, to the punchline: nobody cared. The incorrectly generated packages installed perfectly fine without warnings. Nobody checks the checksums.

More so: nobody checks that during `pip install` or the more fancy `uv pip install` the packages aren't built locally (i.e. nobody cares that package installation will result in arbitrary code execution). It's not just common, it's almost universal to run `pip install` on production machines as a means of deploying a Python program. How do I know this? -- The company I work for ships its Python client as a... source package. Not intentionally. We are just lazy. But nobody cares.