---
title: Protect Against Log Injection
impact: HIGH
impactDescription: prevents log forging and exploitation
tags: logging, injection, sanitization, security
---

## Protect Against Log Injection

This rule ensures high quality and security in Python and PySpark applications.

**Implementation Guidance:**
- Follow standard Python best practices (PEP 8)
- Use type hints for better clarity
- For PySpark, prefer DataFrame API over SQL strings where possible
- Ensure proper resource management (using \`with\` statements)