SKU: 96575871385

HKM-3399357 Floral Adjustable Dog Collar with Bow Tie - Double Layer Fabric for All Seasons

$47.69 $52.99
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Description

HKM-3399357 Floral Adjustable Dog Collar with Bow Tie - Double Layer Fabric for All SeasonsIntroducing the HKM 3399357 Floral Adjustable Dog Collar with Bow Tie, designed with both style and functionality in mind. This collar features a charming floral pattern that adds a touch of elegance to your dog's wardrobe, making it perfect for any season. Crafted from durable polyester, the HKM 3399357 is not just visually appealing; it's built to withstand everyday wear. With double layer fabric, this collar ensures comfort and longevity, while

Introducing the HKM-3399357 Floral Adjustable Dog Collar with Bow Tie, designed with both style and functionality in mind. This collar features a charming floral pattern that adds a touch of elegance to your dog's wardrobe, making it perfect for any season.

Crafted from durable polyester, the HKM-3399357 is not just visually appealing; it's built to withstand everyday wear. With double-layer fabric, this collar ensures comfort and longevity, while also being suitable for various weather conditions.

Available in an array of vibrant colors, including pink, red, blue, and purple, your furry friend can choose between a delightful bow tie collar or a classic single collar design. The adjustable sizes cater to different breeds and neck sizes:
- XS: 1.5 inches (19-28 CM)
- S: 1.5 inches (25-40 CM)
- M: 2.0 inches (30-50 CM)
- L: 2.5 inches (39-60 CM)

This collar embodies a princess style that will surely turn heads during walks in the park or at social gatherings. Each purchase includes either the collar alone or the collar accompanied by a stylish bow tie, making it a versatile choice for any occasion.

Elevate your pet's fashion game with the HKM-3399357 Floral Adjustable Dog Collar with Bow Tie, where comfort meets charm.

Product information:
Pattern: Flowers
Color: Bow tie bow tie (pink), bow tie bow tie (red), bow tie bow tie (blue), bow tie bow tie (purple), single collar bow tie (pink), single collar (red), single collar (blue), single collar (purple)
Specifications: XS 1.5(19-28CM),S 1.5(25-40cm),M 2.0(30-50cm),L 2.5(39-60cm)
Material: Polyester
Suitable season: Four Seasons Universal
Style: Princess style


Packing list:
Collar x1/Collar+Bow x1


Product Image:

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SKU: 96575871385

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4.5 ★★★★★
Based on 24 reviews
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Product Reviews
E
eyal Fishman
Waukegan, 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
Omaha, 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
Boise, 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
Fort Morgan, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Port Orchard, 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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