Overview

Software supply chain attacks exploit trust in package registries through typosquatting (registering names similar to popular packages), dependency confusion (publishing higher-version public packages matching private names), and compromised package distribution. This skill detects these attack vectors by computing Levenshtein distance between package names and popular PyPI packages, verifying package integrity via SHA-256 hash comparison, scanning for known CVEs with pip-audit, and testing dependency resolution order for confusion vulnerabilities.

When to Use

When conducting security assessments that involve performing supply chain attack simulation
When following incident response procedures for related security events
When performing scheduled security testing or auditing activities
When validating security controls through hands-on testing

Prerequisites

Python 3.9+ with pip-audit, Levenshtein, requests
Access to PyPI JSON API ()

Overview

When to Use

When conducting security assessments that involve performing supply chain attack simulation
When following incident response procedures for related security events
When performing scheduled security testing or auditing activities
When validating security controls through hands-on testing

Prerequisites

Python 3.9+ with pip-audit, Levenshtein, requests
Access to PyPI JSON API ()

Performing Supply Chain Attack Simulation

Overview

When to Use

Prerequisites

Performing Supply Chain Attack Simulation

Overview

When to Use

Prerequisites

Key Detection Areas

Output

Healthcare Cdss Patterns

Drug Discovery

Qmd

Attack Tree Construction

Azure Ai Anomalydetector Java

Viboscope