I Built a Supply Chain Scanner for Python — pip Has the Same Problem as npm

📰 Dev.to · Alex Spinov

Learn how to build a supply chain scanner for Python to identify potential security risks, just like npm, and why PyPI has similar problems

intermediate Published 25 Mar 2026
Action Steps
  1. Build a supply chain scanner using Python to identify vulnerable dependencies
  2. Run a scan on your project's dependencies to detect potential security risks
  3. Configure your scanner to alert you to new vulnerabilities in your dependencies
  4. Test your scanner with a sample project to ensure it's working correctly
  5. Apply security patches or updates to vulnerable dependencies to mitigate risks
Who Needs to Know This

Developers and DevOps teams can benefit from this knowledge to secure their Python projects and dependencies, especially those working with PyPI packages

Key Insight

💡 PyPI has similar supply chain security problems as npm, and building a scanner can help identify and mitigate these risks

Share This
🚨 Secure your Python projects from supply chain attacks! 🚨 Build a scanner to detect vulnerabilities in dependencies #PyPI #security

Key Takeaways

Learn how to build a supply chain scanner for Python to identify potential security risks, just like npm, and why PyPI has similar problems

Full Article

Every week there's a new npm supply chain attack story. But here's the thing nobody talks about: PyPI...
Read full article → ← Back to Reads

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