SKU: 37648556080

Wine Bags - Blue Snowflakes

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Ships within 48 hours · Estimated delivery Aug 6 - Aug 11

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Description

Wine Bags - Blue SnowflakesForget fighting with wrapping paper. Our Blue Snowflakes Wine Gift Bags make gifting look effortless and festive in seconds. Each white paper bag features a one sided holiday print and fits most bottles of wine, champagne, or sparkling cider. Looking for easy holiday gifting ideas to give your go to hostess or teacher gift an instant upgrade? Simply slip a bottle inside, roll down the top, or tie it with ribbon for a fun, festive display that stands

Forget fighting with wrapping paper. Our Blue Snowflakes Wine Gift Bags make gifting look effortless and festive in seconds. Each white paper bag features a one-sided holiday print and fits most bottles of wine, champagne, or sparkling cider. Looking for easy holiday gifting ideas to give your go-to hostess or teacher gift an instant upgrade? Simply slip a bottle inside, roll down the top, or tie it with ribbon for a fun, festive display that stands out on the gift table or bar cart. Keep a few on hand for last-minute holiday parties, Secret Santa exchanges, or neighbor drop-offs, because wine always makes the perfect thank-you gift. Made from gusseted paper and proudly designed and printed in our Wisconsin, USA facility, Christmas wine gift bags take the stress out of wrapping bottles and make every gift look like you planned it weeks in advance. Please Note - Wine and Ribbon are not included.

 

Wine Bag Details:

  • Includes 12 white paper wine gift bags; Printed one-sided
  • Each bag measures flat 5” W x 18” H
  • Fits most standard wine and champagne bottles
  • Roll down bag or tie ribbon for a finished look
  • Made in the USA
  • Pairs well with our Wine Label Stickers
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. 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]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 37648556080

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4.5 ★★★★★
Based on 12 reviews
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Product Reviews
E
eyal Fishman
Port Orchard, 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
Lexington, 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
Louisville, 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
New York, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Charlottesville, 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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