Product Images Cover Fx Invisible Primer Spf30
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Product Label Images
The following 2 images provide visual information about the product associated with Cover Fx Invisible Primer Spf30 NDC 68577-105 by Cosmax Usa, Corporation, 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.
Inner Package - Inner Package

This is a description for Cover FX Invisible Primer SPF30. It is a primer with SPF30 sun protection. The primer is recommended to be applied as a dime-sized amount on clean, moisturized skin, followed by foundation and other makeup. For best results, it suggests pairing with a Cover FX foundation. The primer includes sunscreens like Avobenzone, Homosalate, Octisalate, and Octocrylene for sun protection. The product is for external use only, and precautions are advised for irritation. Made by Cover FX Beauty Group, LLC in the USA. Additional information is available on the packaging.*
Outer Package - Outer Package

This document contains information about a sunscreen product with active ingredients such as AVOBENZONE, HOMOSALATE, OCTISALATE, and OCTYLENE. The product is designed to help prevent sunburn and reduce the risks of skin cancer and premature aging caused by the sun when used as directed. It includes warnings, directions for use, and information on sun protection measures. The sunscreen also contains various inactive ingredients and is presented in a 30mL/1.0FLOZ container. The product is described as a clear gel primer with invisible SPF 30, suitable for all skin types, and can be used alone or as a base for makeup application. Additionally, it is vegan, cruelty-free, and free from parabens, gluten, mineral oil, fragrance, talc, sulfates, and phthalates. The product is distributed by AS Beauty Group, LLC and made in the USA. For further questions, there is an email provided for customer service.*
* 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.