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Description
sp evenflo Evenflo : Terra – AuraBeautyInc.ShopDarkest Brown in the Evenflo palette with a neutral undertone. Opacity: High Undertone: Neutral Can Be Used as Modifier Manufactured in the USA Sterile to offer clients highest level of quality and safety Not tested on animals Vegan Friendly Can be used for manual microblading or machine work Volume: 15mL Directions for Use: Store in a room temperature environment. Do not leave product out in the sun. Handle containers with fresh from the box single
Darkest Brown in the Evenflo palette with a neutral undertone.
Opacity: High
Undertone: Neutral
Can Be Used as Modifier
- Manufactured in the USA
- Sterile to offer clients highest level of quality and safety
- Not tested on animals
- Vegan Friendly
- Can be used for manual microblading or machine work
Volume: 15mL
Directions for Use:
- Store in a room temperature environment.
- Do not leave product out in the sun.
- Handle containers with fresh-from-the-box single-use gloved hands.
- Shake pigment for at least 1 minute before pouring.
- After pouring, ensure the lid is securely sealed and return to its storage area.
- To change consistency, only use Perma Blend Shading Solutions. Do not mix with water or other thinning agents.
- Pigment expires 12 months after opening.
- Unopened pigment expires after 3.5 years.
Do not mix with water or other thinning agents. To change consistency, only use Perma Blend Thinning or Shading Solutions.
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- Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
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4.9 ★★★★★
Based on 11 reviews
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Product Reviews
★★★★★ 5
Essential for Malware Hunters
Format: Hardcover
MAoS - Malware Analysis on Steroids is a clear, practical, and engaging guide to real-world malware threats. It blends hands-on reverse engineering tactics with modern case studies, making it both highly technical and easy to follow. Whether you’re new to malware analysis or a seasoned security pro, this book sharpens your skills and mindset for the fight against today’s threats.
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Reviewed in the United States on September 20, 2025
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
★★★★★ 5
Great book on Android malware reverse engineering and detection!
Format: Paperback
This book offers a holistic approach for learning how to deal with malware targeting Android platform. I find this book to be equally interesting to read for both people with little experience in the domain of malware analysis as quick-start guide as well as for experienced reverse engineers who would want to translate their knowledge from malware analysis in other platforms to Android. This book is definitely worth the time reading it.
The first half of the book is a great source of information on reverse engineering Android malware. Chapters on categories of Android Malware and examples of the malware in the wild set up the necessary context for the readers and help to better understand why Android malware focuses on certain infection/monetization techniques. It also bring context in the evolution of mitigation and hardening in Android platform.
Chapters on static and dynamic analysis are very practical and engaging to read which I probably enjoyed the most in the book. They teach readers how to do reverse engineering of Android malware -- covers tooling, methodologies, hints to look for in the code or binary artifacts when doing reverse engineering.
The second half of the book is dedicated to using machine learning techniques for detecting malware. It starts with a concise yet self-contained necessary theoretical background. In my point of view the authors hit a very good balance for making material accurate and comprehensive yet easy to read and follow along for people without extensive background in the field (which is not a trivial thing for math texts). As it is probably impossible to fit all the necessary theoretical material in a single (or even couple of chapters) they text offers references to sources which cover certain topics in-depth -- for those readers who would like to dive deeper in machine learning. Finally, the book wraps with application of the discussed machine learning techniques to certain malware families.
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Reviewed in the United States on October 14, 2024
★★★★★ 5
Great messages for toddlers
Format: Paperback
Great little book to teach toddlers why hitting is not acceptable. Nice messages, cute pictures. Overall, a good book to help with this challenging problem in toddlers and 3-5 year old boys.
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Reviewed in the United States on March 21, 2026
★★★★★ 5
Excellent product
Format: Paperback
This book actually got my 5 year old son to stop hitting his younger sister.
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Reviewed in the United States on May 28, 2026