How to Detect and Recover From a Compromised PyPI Package

So you wake up, check your Slack, and someone's posted a link to a GitHub issue claiming that a package you depend on — one sitting in your requirements.txt right now — has been compromised on PyPI. Your stomach drops. That's exactly what happened to developers using LiteLLM recently when versions 1.82.7 and 1.82.8 on PyPI were found to contain malicious code. The compromised versions included a payload designed to exfiltrate environment variables — API keys, database credentials, secrets — to an attacker-controlled server. If you had those versions installed and running, your secrets may have been shipped off to someone you definitely didn't intend. This isn't hypothetical. This is a real supply chain attack, and it's a pattern we're seeing more and more. Let me walk you through how to check if you're affected, how to respond, and how to protect yourself going forward. Understanding the Attack Vector Supply chain attacks against PyPI packages typically work in one of a few ways: Accou