Sinister Diesel Oil Bypass System

Fits 2011–2018 Ram 2500 and 3500 with 6.7L Cummins Engines

Part #: SD-EOF-6.7C-13

Overview

The Sinister Diesel 6.7L Cummins Oil Bypass System is an advanced oil filtration upgrade designed specifically for Ram 2500 and 3500 trucks equipped with 6.7L Cummins engines from 2011 to 2018. This system helps maintain optimal engine health by significantly improving oil cleanliness, which is essential for engine longevity and performance. It is ideal for truck owners seeking to enhance their vehicle’s durability and reliability through superior oil filtration technology.

Key Features

• Constructed from durable steel and billet aluminum for strength and longevity
• Fully CNC machined for precise fit and high-quality craftsmanship
• Includes a high-performance Amsoil 2 Micron Oil Filter for superior contaminant removal
• Features braided stainless steel lines for enhanced durability and heat resistance
• Finished in Sinister Blue for a stylish and clean appearance
• Designed to remove more contaminants from engine oil than standard factory filters
• Includes all necessary mounting hardware and installation components

Construction & Design

This oil bypass system is engineered with a focus on durability and precision. The steel and billet aluminum construction ensures long-lasting performance under demanding conditions. Fully CNC machined components guarantee a perfect fit and reliable operation, making this system a robust upgrade over stock oil filtration setups.

Installation & Fitment

Designed specifically for 2011–2018 Ram 2500 and 3500 trucks with 6.7L Cummins engines, this kit replaces the factory oil filter setup to provide enhanced filtration. Installation requires basic mechanical skills and standard tools. It is recommended to follow the included instructions for proper setup and optimal performance.

What’s Included

• (1) Amsoil 2 Micron Oil Filter
• (1) Sinister Oil Cap
• (1) Sinister Diesel Filter Block
• Braided Stainless Lines
• Mounting Bracket
• Installation Hardware