Dior Forever Skin Wear Flawless Skin True Foundation Spf 20 1,5w Warm Emulsion
Product Images NDC 61957-3407

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Dior Forever Skin Wear Flawless Skin True Foundation Spf 20 1, 5w Warm (NDC 61957-3407). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Parfums Christian Dior, 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

1069 (1069)

This is a description for a tester product not for sale. The active ingredients are Octisalate at 3.50% and Titanium Dioxide at 3.76%. For complete drug facts, please see the sale product. The text also contains some random characters and numbers.*

FDA Label Image

Box07 (Box07)

This text provides information about the active ingredients in a product, including Octisalate 3.50% and Titanium dioxide 3.76%. It also includes warnings to only use the product externally, avoid contact with eyes, stop using if a rash occurs, and keep out of reach of children. Directions state to apply 15 minutes before sun exposure and to consult a doctor before using on children under 6 months of age. The outer box contains additional drug facts.*

FDA Label Image

Inner Label07 (Inner Label07)

This text contains information related to different codes, product names, and descriptions of cosmetic items such as "RENO FOREVER" 30 ML foundation. It mentions features like 24H ULTRA MAKEUP WEAR, NO-TRANSFER, and TRIPLE-ACTION CARE. Additionally, it includes details about the tolerances for implantation and lateral centering of the decoration on the bottle, as well as the composition with ingredients such as hyaluronic acid, niacinamide, and peptides.*

FDA Label Image

Outer Label07 (Outer Label07)

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