SKU: 85590285801

Metropolitan Square Matte Grey Dining Table

Sale price$128.66 Regular price$142.95
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Ships within 48 hours · Estimated delivery Aug 6 - Aug 11

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Description

Metropolitan Square Matte Grey Dining TableWelcome a gallery inspired focal point with the Metropolitan Square Matte Grey Dining Table on Orsina. The Metropolitan Square Matte Grey Dining Table blends a square glass surface with a sculptural base, giving your dining area an elevated, curated feel. Geometric Presence The clear square top showcases rugs and chairs beneath, while the matte grey framework intersects with crisp precision. This balance of transparency and structure produces an airy

Welcome a gallery-inspired focal point with the Metropolitan Square Matte Grey Dining Table on Orsina. The Metropolitan Square Matte Grey Dining Table blends a square glass surface with a sculptural base, giving your dining area an elevated, curated feel.

Geometric Presence

The clear square top showcases rugs and chairs beneath, while the matte grey framework intersects with crisp precision. This balance of transparency and structure produces an airy effect that suits minimalist rooms and design-forward apartments, keeping the space open yet distinctive.

Practical Elegance

Tempered glass cleans in moments after a family meal or a working lunch. The stable base provides generous knee space for diners, and the square format fits neatly into corners or centred layouts. Pair it with fabric chairs for softness or with sleek seats for a sharper edge.

Key highlights

  • Square top defines zones in open-plan living.
  • The matte grey base adds cool modern character.
  • A clear surface keeps the room bright and spacious.
  • Coordinates with monochrome and tonal palettes
  • Low-maintenance finish for everyday dining

Use a neutral table runner or a cluster of candles to play with reflection and shadow. This statement piece proves that modern dining can be both inviting and artful.

Shipping Notes
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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]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 85590285801

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4.5 ★★★★★
Based on 10 reviews
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Product Reviews
E
eyal Fishman
Charlottesville, 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
Phoenix, 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
Alexandria, 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
Louisville, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
San Leandro, 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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