Product Images Teint Couture Everwear 24h Wear Satin Finish Full Coverage And Comfort Broad Spectrum Spf 20 Y100
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Product Label Images
The following 4 images provide visual information about the product associated with Teint Couture Everwear 24h Wear Satin Finish Full Coverage And Comfort Broad Spectrum Spf 20 Y100 NDC 60905-0801 by Lvmh Fragrance Brands, 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.
Bottle - Bottle
Givenchy Teint Couture is a long-wear foundation that provides full coverage and comfort, offering a satin-finish look. It includes a broad-spectrum SPF 20 and contains 1.75% titanium dioxide. This product is made in France by LVMH Fragrance Brands and comes in a 1floz-30ml container. However, it is essential to avoid using it on damaged or broken skin and to keep it away from the eyes. If swallowed, seek medical help or contact Poison Control Center immediately.*
Inner Package - Inner Package
Outer Package - Outer Package
This is a product label for a Fluid Foundation makeup manufactured by LVMH Fragrance Brands. The foundation has a satin finish, hydrating properties, and offers blurring effects. It also claims to provide 24-hour wear. The foundation's active ingredients include octinoxate 3% and titanium dioxide, which provide broad-spectrum SPF 20 protection. The foundation is made in France and may contain titanium dioxide and iron oxides. The inactive ingredients include water, various types of silicones, alcohol, glycerin, and stearic acid. The label has directions for use, warnings, and measures to prevent sunburn. Contact information for customer service is also provided.*
Y100 - Y100
Y100 is a product with the shade code Teinte 01 and reference number P980561. It is marketed as being "100%" but it is not possible to determine its intended use or application without additional information.*
* 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.