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Description
Vivi Frauen Maxi-Kleid | Fließender Stoff, Elegante SilhouetteErleben Sie die Anmut des Vivi Maxi Kleids Das Vivi Maxi Kleid verkrpert zeitlose Bewegung und moderne Raffinesse. Mit seinem auergewhnlichen Design, das klare, skulpturale Linien mit flieender Dynamik vereint, schafft es einen Look, der sowohl stilvoll als auch knstlerisch wirkt. Ideal fr Frauen, die ansprechende Silhouetten schtzen und ein starkes Stil Statement setzen mchten, begleitet Sie das Vivi Maxi Kleid mhelos von besonderen Anlssen bis hin
Erleben Sie die Anmut des Vivi Maxi-Kleids
Das Vivi Maxi-Kleid verkörpert zeitlose Bewegung und moderne Raffinesse. Mit seinem außergewöhnlichen Design, das klare, skulpturale Linien mit fließender Dynamik vereint, schafft es einen Look, der sowohl stilvoll als auch künstlerisch wirkt. Ideal für Frauen, die ansprechende Silhouetten schätzen und ein starkes Stil-Statement setzen möchten, begleitet Sie das Vivi Maxi-Kleid mühelos von besonderen Anlässen bis hin zu modischen Alltagsmomenten.
Stilmerkmale
- Skulpturaler, hochgeschlossener Ausschnitt: Der drapierte, hohe Kragen verlängert optisch die Silhouette und verleiht moderne Raffinesse.
- Fließende, geschichtete Silhouette: Der asymmetrische Fall sorgt für anmutige Bewegung und schmeichelt der Figur, ohne einzuengen.
- Stilvolle lange Ärmel: Schlank geschnitten und sanft gerafft – für eine ausgewogene, harmonische Gesamtform.
- Künstlerische Wickel-Details: Die geschichtete Wickel-Front macht das Kleid zu einem echten Blickfang.
- Vielseitig komfortabel: Ideal für Events, Abendanlässe oder modische Tageslooks – zu jeder Jahreszeit tragbar.
Spezifikationen
- Typ: Maxi-Kleid
- Länge: Maxilänge mit asymmetrischem Saum
- Ausschnitt: Hochgeschlossen, drapiert
- Ärmel: Lang, figurbetont
- Stoff: Weich, bequem, mit fließender Bewegung
Styling-Empfehlungen
- Perfekt für formelle Anlässe oder stilvolle Abendveranstaltungen.
- Kombinieren Sie es mit hohen Schuhen und einer Clutch für einen glamourösen Look.
- Ideal für die Frühlings- und Herbstsaison, ergänzt durch eine leichte Jacke.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
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4.9 ★★★★★
Based on 19 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 14, 2024
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