Armoni™ – Armlehnenablage aus Bambus
SKU: 86076364952

Armoni™ – Armlehnenablage aus Bambus

Sale price$53.96 Regular price$59.95
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Description

Armoni™ – Armlehnenablage aus BambusArmoni Bambus Armlehnenablage Verhindert Verschtten rutschfeste Ablage, die sicher auf der Armlehne sitzt Ordnung auf dem Sofa Getrnke, Handy, Fernbedienung und Snacks an einem Platz Passend fr alle Tassen von Espresso bis Jumbo Becher (9,5 cm Halter, 33 cm Breite) Bequeme Nutzung aus jedem Winkel drei Griffffnungen vorn, links oder rechts Verwandle dein Sofa in eine gemtliche Komfortzone Teekanne bereit, Serie gestartet aber kein Platz fr die Tasse?

Armoni™ Bambus-Armlehnenablage

✔️ Verhindert Verschütten – rutschfeste Ablage, die sicher auf der Armlehne sitzt

✔️ Ordnung auf dem Sofa – Getränke, Handy, Fernbedienung und Snacks an einem Platz

✔️ Passend für alle Tassen – von Espresso bis Jumbo-Becher (9,5 cm Halter, 33 cm Breite)

✔️ Bequeme Nutzung aus jedem Winkel – drei Grifföffnungen vorn, links oder rechts

Verwandle dein Sofa in eine gemütliche Komfortzone

Teekanne bereit, Serie gestartet – aber kein Platz für die Tasse? Armoni™ löst das Problem in Sekunden. Aus nachhaltigem Bambus gefertigt, lässt sich die Ablage ohne Werkzeug auf der Armlehne befestigen. Stelle dein Getränk ab, verstaue die Fernbedienung und genieße deine Auszeit. Kein Wackeln, kein Balancieren – nur Komfort pur.

Stabile Getränke, durchdachtes Design

Die flexible Klammer passt sich flachen oder runden Armlehnen an. Rutschfeste Pads schützen Stoff und Leder, während die drei Grifföffnungen bequemes Trinken aus jeder Position ermöglichen. Belastbar bis zu 600 ml Becher ohne Neigung. Nach Gebrauch einfach abnehmen und mit einem feuchten Tuch abwischen.

Produktspezifikationen

Größe: ca. 40 × 33 × 4,5 cm
Material: Umweltfreundlicher Bambus
Passend für Armlehnen: 4–13 cm Breite, flach oder rund
Tassenhalter-Durchmesser: 9,5 cm
Maximale Bechergröße: Bis zu 600 ml
Pflege: Mit feuchtem Tuch abwischen

Paket enthält

1 × Armoni™ Bambus-Armlehnenablage

14-tägige risikofreie Garantie

Probiere Armoni™ jetzt 14 Tage lang völlig risikofrei. Erlebe stabilen Komfort und aufgeräumte Gemütlichkeit – ganz ohne Risiko. Wir stehen hinter der Qualität und Alltagstauglichkeit unseres Produkts. Wenn du innerhalb von 14 Tagen nicht zufrieden bist, erhältst du eine volle Rückerstattung. Mach’s dir bequem mit Vertrauen!


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SKU: 86076364952

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E
eyal Fishman
Alexandria, 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
Charlottesville, 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
Fort Morgan, 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
San Leandro, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Los Angeles, 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.
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Reviewed in the United States on October 14, 2024

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