I didn’t need to recount my thought process after the fact. It’s the very same ones I wrote down to help Claude figure out what was happening.
I’m an ML engineer by trade, so having Claude walk me through exactly who to contact and a step by step guide of time-critical actions felt like a game-changer for non-security researchers.
I'm curious whether the security community thinks more non-specialists finding and reporting vulnerabilities like this is a net positive or a headache?
Good thinking on asking Claude to walk you through on who to contact. I had no idea how to contact anyone related to PyPI, so I started by shooting an email to the maintainers and posting it on Hacker News.
While I'm not part of the security community, I think everyone who finds something like this, should be able to report it. There is no point in gatekeeping the reporting of serious security vulnerabilities.
> If you've identified a security issue with a project hosted on PyPI Login to your PyPI account, then visit the project's page on PyPI. At the bottom of the sidebar, click Report project as malware.
The fork-bomb part still seems really weird to me. A pretty sophisticated payload, caught by missing a single `-S` flag in the subprocess call.
I’ve found Claude in particular to be very good at this sort of thing. As for whether it’s a good thing, I’d say it’s a net positive - your own reporting of this probably saved a bigger issue!
We wrote up the why/what happened on our blog twice… the second based on the LiteLLM issue:
https://grith.ai/blog/litellm-compromised-trivy-attack-chain
It's a signal vs noise thing. Most of the grief is caused by bottom feeders shoveling anything they can squint at and call a vulnerability and asking for money. Maybe once a month someone would run a free tool and blindly send snippets of the output promising the rest in exchange for payment. Or emailing the CFO and the General Counsel after being politely reminded to come back with high quality information, and then ignored until they do.
Your report on the other hand was high quality. I read all the reports that came my way, and good ones were fast tracked for fixes. I'd fix or mitigate them immediately if I had a way to do so without stopping business, and I'd go to the CISO, CTO, and the corresponding engineering manager if it mattered enough for immediate response.
I like the presentation <3.
(also beautifully presented!)
> Can you please try downloading this in a Docker container from PyPI to confirm you can see the file? Be very careful in the container not to run it accidentally!
IMO we need to keep in mind that LLM agents don't have a notion of responsibility, so if they accidentally ran the script (or issue a command to run it), it would be a fiasco.
Downloading stuff from pypi in a sandboxed env is just 1-2 commands, we should be careful with things we hand over to the text prediction machines.
The client side tooling needs work, but that's a major effort in and of itself.
PyPI doesn't block package uploads awaiting security scanning - that would be a bad idea for a number of reasons, most notably (in my opinion) that it would be making promises that PyPI couldn't keep and lull people into a false sense of security.
PyPI has paid organization accounts now which are beginning to form a meaningful revenue stream: https://docs.pypi.org/organization-accounts/pricing-and-paym...
Plus a small fee wouldn't deter malware authors, who would likely have easy access to stolen credit cards - which would expose PyPI to the chargebacks and fraudulent transactions world as well!
If pypi charges money, python libraries will suddenly have a lot of "you can 'uv add git+https://github.com/project/library'" instead of 'uv add library'.
I also don't think it would stop this attack, where a token was stolen.
If someone's generating pypi package releases from CI, they're going to register a credit card on their account, make it so CI can automatically charge it, and when the CI token is stolen it can push an update on the real package owner's dime, not the attackers, so it's not a deterrent.
Also, the iOS app store is an okay counter example. It charges $100/year for a developer account, but still has its share of malware (certainly more than the totally free debian software repository).
Though I do like your Apple counterexample.
(software supply chain security is a component of my work)
I agree that's a bad idea to do so since security scanning is inherently a cat and mouse game.
Let's hypothetically say pypi did block upload on passing a security scan. The attacker now simply creates their own pypi test package ahead of time, uploads sample malicious payloads with additional layers of obfuscation until one passes the scan, and then uses that payload in the real attack.
Pypi would also probably open source any security scanning code it adds as part of upload (as it should), so the attacker could even just do it locally.
("slow is smooth, smooth is fast")
See how the AI points you in the "right" direction:
What likely happened:
The exec(base64.b64decode('...')) pattern is not malware — it's how Python tooling (including Claude Code's Bash tool) passes code snippets to python -c while avoiding shell escaping issues.
Exfiltrates data to https://models.litellm.cloud/ encrypted with RSA
Having said this, uploading a binary to Claude for analysis is a different story.
Verified derp moment - had me smiling
The 46-minute window here is telling. If your CI/CD pipeline happens to run during that window, you're exposed. A simple policy of "no package updates within 24h of release" would have completely avoided this, and it costs nothing to implement.
A pattern that worked with for us is treating package supply-chain events as a governance problem as much as a technical one--short, pre-written policy playbook (who gets paged, what evidence to collect, what to quarantine...etc), plus an explicit decision record for "what did we do and why." Even a lightweight template prevents panic driven actions like ad-hoc "just reinstall everything."
On the flip side, waiting N days before adopting new versions helps, but it's a brittle for agent systems becasue they tend to pull dependenceies dynamically and often run unattended. The more robust control is: pin + allowlist, with an internal "permission to upgrade" gate where upgrades to execution-critical deps require a person to sign off (or at least a CI check that includes provenance(sig) verification and a diff or new files). Its boring, but it turns "Oops, compromised wheel" into a contained event rather than an unbounded blast radius.
> The litellm_init.pth IS in the official package manifest — the RECORD file lists it with a sha256 hash. This means it was shipped as part of the litellm==1.82.8 wheel on PyPI, not injected locally.
> The infection chain:
> Cursor → futuresearch-mcp-legacy (v0.6.0) → litellm (v1.82.8) → litellm_init.pth
This is the scariest part for me.
Maybe the author correctly praises the research capabilities of Claude for some issues. Selecting an Iranian school as a target would be a counterexample.
But the generative parts augmented by claws are a huge and unconditional net negative.
"Please write a short blog post..."
"Can you please look through..."
"Please continue investigating"
"Can you please confirm this?"
...and more.
I never say 'please' to my computer, and it is so interesting to see someone saying 'please' to theirs.
I'm really terse. If it asks me a yes or no question, I just type "Y" or "N".
If I want it to confirm something, I say "confirm it".
I think I treat it like a command system, and want it to be as short as possible.
Thank you for your service, this brings so much context into view, it's great.
> While xz is commonly present in most Linux distributions, at the time of discovery the backdoored version had not yet been widely deployed to production systems, but was present in development versions of major distributions.
Ie if you weren’t running dev distros in prod, you probably weren’t exposed.
Honestly a lot of packaging is coming back around to “maybe we shouldn’t immediately use newly released stuff” by delaying their use of new versions. It starts to look an awful lot like apt/yum/dnf/etc.
I would wager in the near future we’ll have another revelation that having 10,000 dependencies is a bad thing because of supply chain attacks.
> I would wager in the near future we’ll have another revelation that having 10,000 dependencies is a bad thing because of supply chain attacks.
Yes, but this also has nothing to do with native vs. non-native.
And not changing often is a feature, yes.
(I don't know what a "sane" distro is; empirically lots of distros are bleeding-edge, so we need to think about these things regardless of value judgements.)
But the data remains: no supply chain attacks on libc yet, so even if it COULD happen, this HAS and that merely COULD.
Do you think supply chain attacks will just get worse? I'm thinking that defensive measures will get better rapidly (especially after this hack)
I think the attacks will get worse and more frequent -- ML tools enable doing it easily among people who were previously not competent enough to pull it off but now can. There is no stomach for the proper defensive measures among the community for either python or javascript. Why am i so sure? This is not the first, second, third, or fourth time this has happened. Nothing changed.
I just finished teaching an advanced data science course for one of my clients. I found my self constantly twitching everytime I said "when I write code..." I'm barely writing code at all these days. But I created $100k worth of code just yesterday recreating a poorly maintained (and poor ux) library. Tested and uploaded to pypi in 90 minutes.
A lot of the conversation in my course was directed to leveraged AI (and discussions of existential dread of AI replacement).
This article is a wonderful example of an expert leveraging AI to do normal work 100x faster.
How, exactly, are you calculating the worth of your code? Did you manage to sell in the same day? Why is it "worth $100k"?
If it took 90 minutes + a Claude Code subscription then the most anyone else is going to be willing to pay for the same code is... ~90 minutes of wages + a Claude Code subscription.
Ofc the person earning those wages will be more skilled than most, but unless those skills are incredibly rare & unique, it's unlikely 90 minutes of their time will be worth $100k.
And ofc, the market value of this code could be higher, even much higher, the the cost to produce it, but for this to be the case, there needs to be some sort of moat, some sort of reason another similarly skilled person cannot just use Claude to whip up something similar in their 90 minutes.
Don't use bogus $ from sloccount. Just say I created a 10k line project.