Spf 15
Product Images NDC 76224-101

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Spf 15 (NDC 76224-101). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Whish Body Holdings 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

Image Of Front Back (Back)

Image Of Front Back (Back)
This is a description of an all-over body butter with SPF15, self-tanner, and natural firming ingredients to protect the skin from UV rays and keep it looking younger. The formula is all-natural and organic, with active ingredients including octinoxate, oxybenzone, and DHA. The product also contains moisturizers like shea butter, aloe, and mango butter. It has been tested on humans only, not animals, and is made in the USA. The sunscreen-ingredient information, warnings, directions, and inactive ingredients are also provided.*
FDA Label Image

Image Of Front Label (Front)

Image Of Front Label (Front)
This is a description of a self-tanning lotion with SPF 15. The lotion includes natural firming ingredients and is recommended for use all over the body. The lotion is designed to prevent sunburn and promote healthier-looking skin. The lotion contains moisturizing ingredients that help the skin feel soft and supple. It has UVA and UVB protection and is tinted for a natural-looking tan. The lotion should be applied generously and evenly to all exposed areas before sun exposure. It also comes with a caution against eye contact and ingestion. The product may not provide adequate protection for individuals with skin sensitivity or requires coverage from specific types of sunlight.*

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