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Description
long shirt dress womens Long shirt dressOverview This long shirt dress in Beige Tropical combines the tailored look of a shirt dress with the comfort and movement of an A line silhouette. Designed for all day wear, it features a straight, relaxed bodice that transitions into a softly flared, ankle length skirt. The self fabric tie belt allows you to adjust the waist for a defined or relaxed fit. Functional pockets provide added practicality for everyday use. This garment is made to order
Overview
This long shirt dress in Beige Tropical combines the tailored look of a shirt dress with the comfort and movement of an A-line silhouette. Designed for all-day wear, it features a straight, relaxed bodice that transitions into a softly flared, ankle-length skirt. The self-fabric tie belt allows you to adjust the waist for a defined or relaxed fit. Functional pockets provide added practicality for everyday use. This garment is made to order and shown using rendered images; print placement and color may vary slightly.
Key Features
- Structured shirt dress bodice with collar and button front
- A-line silhouette for a flattering fit and ease of movement
- Self-fabric tie belt for adjustable waist definition
- Ankle-length skirt with soft flare
- Functional pockets for everyday convenience
- Made to order; print placement and color may vary
Material
Material details not specified in the original description.
Features
- Relaxed, breathable design for comfort
- Versatile styling options: wear belted for a defined waist or loose for a relaxed look
- Suitable for various occasions and easy to layer
Specifications
- Style: Long shirt dress
- Color: Beige Tropical
- Silhouette: A-line
- Bodice: Straight, relaxed fit
- Skirt: Softly flared, ankle-length
- Belt: Self-fabric tie
- Pockets: Functional
- Garment Type: Made to order
- Image Type: Rendered images (print placement and color may vary)
Usage
- Adjust the self-fabric tie belt to achieve your preferred fit at the waist
- Style with sneakers, boots, or as a lightweight coat for versatile looks
Care
Care instructions not specified in the original description.
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
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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.
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4.8 ★★★★★
Based on 12 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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