SKU: 95818642367
dresser and desk combo

dresser and desk combo Black Walnut Solid Wood Vanity Desk and Dresser Combo, Italian Style 85x15.7x29.7 inch / 215.8x40x75.5 cm / Rich Dark Walnut Color / 0.8m makeup table

$21.37 $23.74
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Size: 4
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Ships within 48 hours · Estimated delivery Jul 15 - Jul 20

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Description

dresser and desk combo Black Walnut Solid Wood Vanity Desk and Dresser Combo, Italian Style 85x15.7x29.7 inch / 215.8x40x75.5 cm / Rich Dark Walnut Color / 0.8m makeup table1. The 100% solid wood mentioned on the page refers to the wood parts excluding hardware and accessories (metal, glass and other non wooden parts), and does not contain artificial boards or veneers. 2. The main material is imported North American black walnut wood, which has rich and varied patterns, few knots, and no mold, making it a luxury wood. 3. The auxiliary material is imported New Zealand pine, which has good toughness, stable properties,

1. The “100% solid wood” mentioned on the page refers to the wood parts excluding hardware and accessories (metal, glass and other non-wooden parts), and does not contain artificial boards or veneers.
2. The main material is imported North American black walnut wood, which has rich and varied patterns, few knots, and no mold, making it a luxury wood.
3. The auxiliary material is imported New Zealand pine, which has good toughness, stable properties, light weight, straight grain and few knots, and is used for drawer inner frame, drawer middle frame, back top crossbar, and bottom front and back crossbars.
4. The auxiliary material is paulownia wood, which is corrosion-resistant, wear-resistant, high-temperature resistant, does not deform, and is not easy to mold. It has been the material for bellows rods since ancient times and is also a famous ancient Chinese musical instrument wood used for drawer boxes and back panels.
Advantages of solid wood: simple and natural, healthy and environmentally friendly, sturdy and durable.
Paint: First, apply an environmentally friendly, odorless paint as a base coat to give the furniture better waterproofing, oil resistance, and stability. Then, apply a layer of plant-based wood wax oil for protection. This natural and environmentally friendly coating gives the furniture a warm and glossy finish, a better user experience, and greater peace of mind for your family!

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Exchange/Return Notes
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SKU: 95818642367

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4.0 ★★★★★
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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
Boise, 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
Massapequa, 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
Dallas, 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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