Trend-Design RecYcape Nano Verflaken Zwart
SKU: 85445862753

Trend-Design RecYcape Nano Verflaken Zwart

Sale price$32.31 Regular price$35.90
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Description

Trend-Design RecYcape Nano Verflaken ZwartDe Trend Design RecYcape Nano Verflaken in zwart is een innovatieve en duurzame keuze voor elke professionele kapper. Dit verflaken is vervaardigd uit maar liefst 12 gerecyclede plastic flessen, waardoor je bijdraagt aan een milieuvriendelijke salonpraktijk. Duurzaam en Functioneel In de moderne kappersbranche is duurzaamheid een belangrijk aspect. De RecYcape Nano is ontworpen met het oog op zowel het milieu als gebruiksgemak. De gerecyclede flessen

De Trend Design RecYcape Nano Verflaken in zwart is een innovatieve en duurzame keuze voor elke professionele kapper. Dit verflaken is vervaardigd uit maar liefst 12 gerecyclede plastic flessen, waardoor je bijdraagt aan een milieuvriendelijke salonpraktijk.

Duurzaam en Functioneel

In de moderne kappersbranche is duurzaamheid een belangrijk aspect. De RecYcape Nano is ontworpen met het oog op zowel het milieu als gebruiksgemak. De gerecyclede flessen worden eerst versnipperd, gesmolten en vervolgens omgevormd tot garen, wat resulteert in een verflaken dat niet alleen ecologisch verantwoord is, maar ook van hoge kwaliteit.

Praktisch Ontwerp

  • Lichtgewicht en ademend materiaal
  • Handopeningen voor optimale bewegingsvrijheid
  • Dubbelsluiting rond de nek voor een goede pasvorm
  • Afmetingen: 135x150 cm

Met de RecYcape Nano blijft je kleding beschermd tijdens het knippen en verven. De cape is eenvoudig schoon te maken met een vochtige doek, wat bijdraagt aan een efficiënte workflow in de salon.

Vlekbestendige Behandeling

Dankzij de NANO-technologie is deze verfmantel vlekbestendig, wat betekent dat je je kunt concentreren op je vak zonder je zorgen te maken over hardnekkige vlekken.

Deze verflaken is een praktische keuze voor professionals die op zoek zijn naar een betrouwbare en duurzame oplossing voor dagelijks gebruik. Voeg de Trend Design RecYcape Nano Verflaken Zwart toe aan je salonassortiment voor een efficiënte en milieuvriendelijke werkomgeving.

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SKU: 85445862753

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4.4 ★★★★★
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Product Reviews
E
eyal Fishman
San Leandro, US
★★★★★ 5
outstanding and highly informative book
Format: Paperback
MAoS - Malware Analysis on Steroids: Fighting Malware to the Death - Real-World Threats and Reverse Engineering Tactics by Uriel Kosayev is an outstanding and highly informative book. This is the second book I’ve read from him, after Antivirus Bypass Techniques, and once again I found the content to be extremely practical, well-structured, and insightful. Uriel has a way of explaining complex malware analysis and reverse engineering concepts in a way that is both approachable and deeply technical. The real-world tactics and examples make it not just a book you read once, but a reference you’ll return to often. Without a doubt, another excellent resource—I’m giving it 5 stars.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 10, 2025
A
Verified Purchase
Arthur Donkers
New York, US
★★★★★ 4
good
Format: Paperback
Good practical content, quality of images could be improved
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 13, 2025
Z
Zachi
Cuba, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 20, 2025
C
Verified Purchase
Cliente Amazon
New York, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Battle Creek, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 14, 2024

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