E.l.f Camo Semi-matte Cc Cream Spf 30 Deep 510 C Cream
Product Images NDC 76354-524

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for E.l.f Camo Semi-matte Cc Cream Spf 30 Deep 510 C (NDC 76354-524). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by E.l.f. Cosmetics, Inc., 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

Inner Package6 (Inner Package6)

This is a description of e.l.f. CAMO CC CREAM with full coverage, long-lasting, semi-matte finish. It contains active ingredients like zinc oxide, titanium dioxide, homosalate, octisalate, and octocrylene. The cream provides broad-spectrum SPF 30 sunscreen protection. The directions recommend applying 1-2 pumps to clean skin using the e.l.f. Complexion Duo Brush for an airbrushed finish. It is suitable for external use only and should not be applied to damaged or broken skin. If a rash occurs, users are advised to discontinue use and consult a doctor. The product has a net weight of 107g and is manufactured in China.*

FDA Label Image

Outer Package6 (Outer Package6)

This is a product description for a color-correcting tinted sunscreen with SPF 30. The sunscreen is cruelty-free and fair trade certified, made in a fair trade factory. It offers full coverage color correction with a semi-matte finish, containing ingredients such as hyaluronic acid and niacinamide. Directions advise applying 1-2 pumps to clean skin with a brush for an airbrushed finish. The sunscreen contains active ingredients like Zinc Oxide and Titanium Dioxide. It provides broad-spectrum sun protection and is suitable for all skin types. Made in China and designed in the USA, this product can be found on elfcosmetics.com.*

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