SKU: 19657401510

1+1 Gratis | FlexiDry™ | Erweitern Sie sofort Ihren Platz und trocknen Sie mehr Wäsche überall

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Description

1+1 Gratis | FlexiDry™ | Erweitern Sie sofort Ihren Platz und trocknen Sie mehr Wäsche überallEndlich mehr Wsche trocknen ohne wertvollen Platz zu verlieren! Sind Sie es leid, stndig ber sperrige Wschestnder zu stolpern oder sich um jeden Zentimeter Platz zu kmpfen? FlexiDry bietet die perfekte Lsung: ein schlankes, ausziehbares Trockensystem, das Ihre Bden frei hlt und ideal fr Wohnungen, Balkone oder unterwegs ist. Schaffen Sie sofort mehr Raum und genieen Sie mheloses Trocknen egal, wo das Leben Sie hinfhrt. Warum unsere Kunden FlexiDry

Endlich mehr Wäsche trocknen – ohne wertvollen Platz zu verlieren!

Sind Sie es leid, ständig über sperrige Wäscheständer zu stolpern oder sich um jeden Zentimeter Platz zu kämpfen? FlexiDry™ bietet die perfekte Lösung: ein schlankes, ausziehbares Trockensystem, das Ihre Böden frei hält und ideal für Wohnungen, Balkone oder unterwegs ist. Schaffen Sie sofort mehr Raum und genießen Sie müheloses Trocknen – egal, wo das Leben Sie hinführt.

 

 

Warum unsere Kunden FlexiDry™ lieben

✔️Mehr Platz zum Aufhängen, weniger Stress: Mit 5 stabilen Aufhängemöglichkeiten trocknen Sie mehrere Kleidungsstücke gleichzeitig sicher – sogar an windigen Tagen. Schneller trocknen, schneller bereit sein und wertvolle Zeit sparen.

✔️Robust und langlebig: Gefertigt aus hochwertigem ABS-Kunststoff trägt FlexiDry™ bis zu 10 kg ohne Durchbiegen oder Bruch. Ihr zuverlässiger Partner für langanhaltendes Trocknen.

✔️Kompakt und mobil: Zusammengeklappt misst FlexiDry™ nur 12,5 cm und passt mühelos in jede Tasche oder jeden Rucksack. Ihr idealer Begleiter für frische Wäsche, überall und jederzeit.

 

 

Spezifikationen:

Material: Hochwertiger ABS-Kunststoff
Maximale Traglast: 10 kg
Maße (zusammengeklappt): 12,5 cm breit
Aufhängemöglichkeiten: 5
Gewicht: Leicht und tragbar
Geeignet für: Wohnungen, Balkone, Reisen

 

 

Was ist im Paket enthalten?

1 x FlexiDry™ ausziehbarer Wäscheständer
1 x Bedienungsanleitung

Shipping Notes
  • 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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SKU: 19657401510

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4.9 ★★★★★
Based on 17 reviews
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Product Reviews
E
eyal Fishman
Bozeman, 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
Whiting, 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
Natrona Heights, 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
Boise, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Omaha, 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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