detecting-typosquatting-packages-in-npm-pypi

Detect typosquatting packages in npm and PyPI registries.

1|Updated Jun 1, 2026
One-click install
npx skills add https://github.com/Razisafir/KOVIX --skill detecting-typosquatting-packages-in-npm-pypi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: detecting-typosquatting-packages-in-npm-pypi
Source: https://github.com/Razisafir/KOVIX/tree/main/skills/security-audit-extended/detecting-typosquatting-packages-in-npm-pypi
Command: npx skills add https://github.com/Razisafir/KOVIX --skill detecting-typosquatting-packages-in-npm-pypi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, python-Levenshtein, rapidfuzz, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Detects typosquatting attacks in npm and PyPI package registries, helping to identify malicious packages that mimic legitimate ones.

Core Features & Use Cases

  • Typosquatting Detection: Analyzes package name similarity and flags suspicious packages.
  • Dependency Confusion Analysis: Identifies packages that could cause dependency confusion.
  • Malicious Package Identification: Assists in identifying malicious packages in software supply chains.
  • Use Case: Regularly scan your project dependencies to ensure they are not affected by typosquatting attacks.

Quick Start

Use the skill to scan your project dependencies for typosquatting packages.

Frequently Asked Questions about detecting-typosquatting-packages-in-npm-pypi

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect typosquatting packages in npm and PyPI registries?

Detect typosquatting packages by analyzing package name similarity, publish date heuristics, and download count anomalies to identify malicious packages mimicking legitimate ones in your software supply chain.

What is typosquatting in package security and how does it affect dependencies?

Typosquatting in package security is an attack where malicious packages mimic legitimate ones using similar names. It causes dependency confusion and compromises software supply chains when developers accidentally install them.

How do I scan project dependencies for malicious packages automatically?

Scan project dependencies automatically by running typosquatting detection scripts against npm and PyPI registries to flag suspicious packages based on name similarity and download anomalies.

Do I need Python 3.9+ and Levenshtein to check for npm typosquatting?

Yes, you need Python 3.9+ with the requests and python-Levenshtein packages to check for npm typosquatting. The rapidfuzz dependency is also used for analyzing package name similarity.

How does Levenshtein distance identify dependency confusion attacks?

Levenshtein distance identifies dependency confusion attacks by calculating string similarity between package names, flagging packages with minor spelling differences that could be malicious typosquatting attempts.