Supply Chain Attack Simulator FAQs

Question 1

How does this skill detect typosquatting?

Accepted Answer

The skill utilizes the Levenshtein distance algorithm to calculate the edit distance between your project's package names and the most popular packages on PyPI, flagging names that are suspiciously similar.

Question 2

What is dependency confusion in this context?

Accepted Answer

Dependency confusion is an attack vector where a malicious actor publishes a higher version of a private package name to a public registry; this skill checks if internal names exist publicly to identify potential risks.

Question 3

What are the prerequisites for running these simulations?

Accepted Answer

You need Python 3.9+, pip-audit, the Levenshtein library, and network access to the PyPI JSON API for metadata retrieval.

Question 4

Does it provide a final security report?

Accepted Answer

Yes, the skill generates a JSON report containing risk scores, detected attack vectors, hash verification results, and identified CVEs for all scanned packages.

Question 5

Is this skill safe to use on production systems?

Accepted Answer

This skill is intended for authorized security testing and educational purposes. It should only be used on systems you own or have explicit written permission to test.

Supply Chain Attack Simulator

Key Features

Use Cases

Supply Chain Attack Simulator

Key Features

Use Cases