SKU: 2612293857

Zoono Z-71 Micobe Shield 10x Flächendesinfektionsmittel 120 ml Schutz für mind. 15 Tage auf Oberflächen gegen 99,99 % aller Keime ( Zertifiziert nach PAS 2424 / EN13697 / EN1276 / EN1650 )

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Description

Zoono Z-71 Micobe Shield 10x Flächendesinfektionsmittel 120 ml Schutz für mind. 15 Tage auf Oberflächen gegen 99,99 % aller Keime ( Zertifiziert nach PAS 2424 / EN13697 / EN1276 / EN1650 )Lieferumfang: 10x Zoono Z 71 Micobe Shield Flchendesinfektionsmittel 120 ml Produktbeschreibung: Das Zoono Flchendesinfektionsmittel besitzt eine Technologie die mechanisch die Keime zerstrt und somit antimikrobielle Produkte in den Schatten stellt. Die meisten Desinfektionsmittel basieren auf Alkohol und anderen Chemikalien und sind somit nicht gut fr Oberflchen, den Krper und die Haut. Das Zoono Flchendesinfektionsmittel dagegen ist wasserbasierend,

Lieferumfang:

- 10x Zoono Z-71 Micobe Shield Flächendesinfektionsmittel 120 ml

Produktbeschreibung:

Das Zoono Flächendesinfektionsmittel besitzt eine Technologie die mechanisch die Keime zerstört und somit antimikrobielle Produkte in den Schatten stellt. Die meisten Desinfektionsmittel basieren auf Alkohol und anderen Chemikalien und sind somit nicht gut für Oberflächen, den Körper und die Haut. Das Zoono Flächendesinfektionsmittel dagegen ist wasserbasierend, geruchslos und schonend für Mensch und Tier. Der monomolekulare Film auf der Oberfläche der bei Nutzung des Flächendesinfektionsmittels einsteht, besteht aus antimikrobiellen Polymeren auf Silanbasis. Diese Polymere binden sich kovalent an die Oberfläche und bilden eine Barriere aus positiv geladenen "Pins". Dank der positiven Ladung werden Krankheitserreger angezogen und durch das Durchbrechen der Zellwand mechanisch zerstört. Die Pins halten sich 15 Tage auf Oberflächen. Ob Türgriffe, Wasserhähne oder jegliche Berührungspunkte des Alltags, Zoono kann überall zum Einsatz kommen. In der heutigen Zeit ist Vorsorge besser als Nachsorge, hierbei kann das Desinfektionsmittel aus dem Hause Zoono helfen.

Technische Daten:

Hersteller: Zoono
Produktart: Flächendesinfektionsmittel
Inhalt: 120 ml
Zertifiziert nach: PAS 2424 / EN13697 / EN1276 / EN1650
Wirksamkeit Oberflächen: mindestens 15 Tage


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SKU: 2612293857

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4.4 ★★★★★
Based on 20 reviews
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Product Reviews
E
eyal Fishman
Los Angeles, 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
Draper, 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
Bozeman, 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
Birmingham, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Waukegan, 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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