detecting-typosquatting-packages-in-npm-pypi

# Detecting Typosquatting Packages in npm and PyPI ## When to Use - Auditing project dependencies to identify packages whose names are suspiciously similar to popular libraries - Proactively scanning package registries for newly published packages that may be typosquats of your organization's packages - Investigating a suspected supply chain compromise where a developer installed a misspelled package name - Building automated monitoring that alerts when new packages appear with names close to critical dependencies - Assessing the risk profile of unfamiliar packages before adding them to a project's dependency tree **Do not use** as the sole determination of malicious intent; name similarity alone does not prove a package is malicious. Do not use for bulk automated takedown requests without manual review of flagged packages. Do not use against private registries without authorization. ## Prerequisites - Python 3.9+ with `requests` and `python-Levenshtein` (or `rapidfuzz`) packages installed - Network access to `https://pypi.org/pypi/<package>/json` (PyPI JSON API) and `https://registry.npmjs.org/<package>` (npm registry API) - A list of popular or critical packages to monitor (e.g., top 1000 PyPI packages, organization's dependency list) - Understanding of common typosquatting patterns: character omission, transposition, insertion, substitution, and hyphen/underscore manipulation ## Workflow ### Step 1: Build the Target Package Watchlist Establish the set of legitimate...