Product Images Esika Triple Accion Max Bb Dark Beige

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Product Label Images

The following 2 images provide visual information about the product associated with Esika Triple Accion Max Bb Dark Beige NDC 13537-998 by Ventura Corporation Ltd, 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.

Principal Display Panel - 30 g Tube Carton - Light Beige - esika 01

Principal Display Panel - 30 g Tube Carton - Light Beige - esika 01

Esta crema facial de Ésika, ofrece 6 beneficios en 1, ya que perfecciona la piel con color FPS 30, cubre imperfecciones y empareja el tono de la piel. Además, hidrata y da una apariencia más joven al rostro, a la vez que ayuda a mantener una piel joven. La fórmula contiene ingredientes activos para protegerse contra los rayos UVA y UVB. También se mencionan sus ingredientes inactivos y recomendaciones de uso. El texto incluye advertencias sobre el uso del producto, la exposición al sol y se recomienda su uso sólo de forma externa.*

Principal Display Panel - 30 g Tube Carton - Dark Beige - esika 02

Principal Display Panel - 30 g Tube Carton - Dark Beige - esika 02

The text describes a skin care product called "BB Cream de Triple Accion Max", which is a facial cream that moisturizes and corrects imperfections while also providing broad-spectrum sun protection with an SPF of 30. It has 6 benefits in 1, including coverage of imperfections, evening of skin tone, hydration, illumination, giving a youthful appearance, and helping to maintain a youthful skin. The product's active ingredients include Zinc oxide and Ethylhexyl Methoxycinnamate that help prevent sunburn. The text also contains warnings and instructions for use of the product, including reapplication every two hours, avoiding applying on the damaged skin, and consultation with a physician about using the product on children under 6 months of age.*

* 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.