Pretty By Flormar Cover Up Foundation 006 Beige
Product Images NDC 61722-310

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Pretty By Flormar Cover Up Foundation 006 Beige (NDC 61722-310). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Kosan Kozmetik Sanayi Ve Ticaret A.s., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Box Cover6 (Box Cover6)

This is a description of a "Cover Up Foundation" product manufactured in Turkey by Kosan Koz. San. ve Tic. AS. The foundation has a new smooth texture that glides on smoothly with a velvet soft feel and stays lightweight. It offers high coverage due to the pool of active ingredients like cotton extract and panthenol that helps reinforce the natural beauty of the skin. The foundation comes in a pack size of 1.0floz (30ml) and has SPF 15. The list of ingredients includes water, dimeticone, cyclopentasiloxane, Ethylhexyl Methoxycinnamate, and others. Shake well before use. The available shade is 06 beige.*

FDA Label Image

Cover (Cover)

Flormar Prebbbl Cover Up Foundation is a high coverage foundation with a smooth texture that glides easily on the skin. The foundation is lightweight and includes active ingredients such as cotton extract and panthenol to reinforce the skin's natural beauty. It is dermatologically tested and includes 5% Octinoxate as a sunscreen to help prevent sunburn. Apply it liberally 15 minutes before sun exposure and reapply every 2 hours if required. It is made in Turkey and distributed by Kosan Kozmetik Sanayi ve Ticaret A.S. If you experience any serious adverse events or symptoms, you can contact the manufacturer at [email protected] or call [971] 766-7350.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.