Set brush attachment for cordless screwdriver drilling machine 15 Pcs

Description： * brand new and high quality. *Made of high quality material, durable and practical to use. *Set brush attachment for cordless screwdriver drilling machine 15 Pcs *Powerful Cleaning Brushes: These drill brush attachments are designed to scrub away excess dirt, dust and filth The brush set has been expertly designed to clean bathroom surfaces, grout, upholstery, car wheels, tile, shower, toilet, bathtub etc. Never worry wasting time and energy from the demanding effort it takes to manually scrub your home surfaces. The high quality premium bristles with medium stiffness will not scratch your bathtub and shower tile surfaces. The backboard has adopted by the top-grade material of PP to ensure quality level. *Wide Range Of Uses : Whether you want to scrub carpet, oven and hob, bathroom tiles and all surfaces that need power scrubbing. Effortless scrubbing brush attachment kit that attach to any cordless drill or impact driver, become a powerful cleaning tool. Get stubborn cleaning jobs done faster and achieve a deeper clean. The extended reach attachment allows you to get into tight spaces and hard to reach areas for a thorough clean. Nylon bristles will not scratch your bathtub and shower tile surfaces. *When you are ready to change out your drill cleaning brush attachment simply pull out our innovative quick-change shafts and easily install a new brush. Press your brush against the surface you want to clean and start the drill. Your surface will be spotless in no time. *Drill Brush attachment is made of high-quality nylon bristles, high chemical resistance and durability to remove any stains, It's a reliable for long-lasting cleaning. Specifications: Color：yellow Type：Drill brush Qty：15pcs Package includes: 1 set Drill brush Note: 1. The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness. 2. Please allow slight manual measurement deviation for the data