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Description
mac duggal black embellished floral long sleeve dress Mac Duggal 10093 Long Sleeve Floral A-line GownMac Duggal 10093 Long Sleeve Floral A line Gown Turn heads in the Mac Duggal 10093, a timeless evening gown that blends polish with romance. Floral embellishment adds soft texture and dimension through the bodice, while the classic A line silhouette defines the waist and drapes smoothly over the hips for a graceful finish. Long sleeves offer elegant coverage without sacrificing lightness or movement, making this style perfect for black tie weddings,
Mac Duggal 10093 Long Sleeve Floral A-line Gown
Turn heads in the Mac Duggal 10093, a timeless evening gown that blends polish with romance. Floral embellishment adds soft texture and dimension through the bodice, while the classic A-line silhouette defines the waist and drapes smoothly over the hips for a graceful finish. Long sleeves offer elegant coverage without sacrificing lightness or movement, making this style perfect for black-tie weddings, galas and red-carpet moments. The floor-length skirt glides as you walk and photographs beautifully from every angle. Pair with delicate jewellery and a sleek heel to complete the look.
- Style Code: 10093
- Available in Black Multi, Midnight, Mocha, Nude Multi colours
- Available Sizes: 4 US -24 US (see the size chart)
- Neckline: High Neckline
- Embellished mesh fabric (100% polyester)
- Fully lined body; unlined sleeves
- Allover hand-sequined floral appliqué complimented by pearl accents
- Embellished waist detail
- Concealed back zipper
- Approx. 60" from top of shoulder to bottom hem
- Manufacturer: Mac Duggal
- Spot dry clean only
Are you wondering what size to pick up? Please look at the Product Size Chart.
- Morva Couture is an authorised online retailer of Mac Duggal
- Inventory changes rapidly, therefore not every colour/size combination listed is in stock. If the dress is available to ship, your order will be processed automatically. If the dress is out of stock, we will contact you immediately to inform you of your options.
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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4.7 ★★★★★
Based on 10 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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