Lanalyzer FAQs

Question 1

What is Lanalyzer?

Accepted Answer

Lanalyzer is a static taint analysis tool for Python that identifies security vulnerabilities by tracking data flow from untrusted sources to sensitive operations, without executing the code.

Question 2

What are the key features of Lanalyzer?

Accepted Answer

Key features include taint analysis, customizable rules (sources, sinks, sanitizers), static analysis, detailed reports, and integration with AI tools via the Model Context Protocol (MCP).

Question 3

How does Lanalyzer use Taint Analysis?

Accepted Answer

Lanalyzer tracks the flow of data from potential sources of untrusted input (like user input or external APIs) to critical points in your code (like database queries or file operations). This highlights potential vulnerabilities.

Question 4

What is MCP support in Lanalyzer and how does it work?

Accepted Answer

MCP (Model Context Protocol) allows Lanalyzer to integrate with AI tools. It exposes Lanalyzer's analysis capabilities through a standard interface, allowing AI models to leverage its functionality.

Question 5

How do I get started using Lanalyzer?

Accepted Answer

Install Lanalyzer via pip or uv, configure your analysis rules, and run the tool against your Python code. Detailed instructions are available in the Lanalyzer documentation.

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