Product Images Pretty By Flormar Cover Up Foundation 004 Ivory

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The following 2 images provide visual information about the product associated with Pretty By Flormar Cover Up Foundation 004 Ivory NDC 61722-308 by Kosan Kozmetik Sanayi Ve Ticaret A.s., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

Box Cover4 - Box Cover4

Box Cover4 - Box Cover4

COVER UP Foundation is a high coverage, SPF 15 foundation that provides a natural velvet soft feel to the skin. It contains active ingredients such as Cotton Extract and Panthenol, which help reinforce the natural beauty of the skin. The foundation is available in the shade 04 Ivory and contains 1.0 fluid ounces (30 ml). It is recommended to shake well before use. The product is made by Kosan Koz San. ve Tic.AS in Turkey and distributed globally. A list of ingredients is provided on the package.*

Cover - Cover

Cover - Cover

"Prebbbl BY FLORMAR COVER UP FOUNDATION is a dermatologically tested foundation made in Turkey. It has a new smooth texture that glides on with a velvet-soft feel, stays lightweight and offers high coverage with a pool of active ingredients, including Cotton Extract and Panthenol, that help reinforce the natural beauty of the skin. It contains Octinoxate 5% sunscreen that helps to prevent sunburn and decreases the risk of skin cancer and early skin aging caused by the sun when used as directed with other sun protection measures. This foundation should be applied liberally 15 minutes before sun exposure and should be reapplied every 2 hours. Prebbbl BY FLORMAR COVER UP FOUNDATION should be kept out of eyes, and it should not be used on damaged or broken skin. In case of rash or if swallowed, seek medical help immediately. The foundation contains several inactive ingredients, including water, dimethicone, cyclopentasiloxane, butylene glycol, and fragrance."*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.