E.l.f Camo Semi-matte Cc Cream Spf 30 Deep 500 W Cream
Product Images NDC 76354-523

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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 500 W (NDC 76354-523). 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 Package5 (Inner Package5)

Inner Package5 (Inner Package5)
This is a description of Elf Camo CC Cream, which offers full coverage with a long-lasting semi-matte finish. The product contains active ingredients such as Zinc Oxide, Titanium Dioxide, and other sunscreens. It provides SPF 30 broad-spectrum protection and comes with directions for application. The product is for external use only and should not be used on damaged skin. If a rash occurs, discontinue use and seek medical advice. Elf Beauty manufactures this product and it is distributed from Oakland, CA. The packaging contains 1.07 oz (30g) of product. (Note: The text contains some unclear characters which are represented by "{...}")*
FDA Label Image

Outer Package5 (Outer Package5)

Outer Package5 (Outer Package5)
This product is a cruelty-free and fair trade certified color-correcting cream with broad spectrum SPF 30 sunscreen. It offers full coverage color correction with a semi-matte finish to protect and even out the skin. It contains titanium dioxide and homosalate as active ingredients for sun protection. The product is applied to clean skin using a specific brush for an airbrushed finish. It is recommended for external use only and includes warnings and directions for safe use. Made by ELF Beauty in China and designed in the USA.*

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