Bowl and Bone Classic Brown Foam Dog Mat
SKU: 64160683965

Bowl and Bone Classic Brown Foam Dog Mat

$67.50 $75.00
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No.2 Bestseller on anne-pustlauk.de >

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Ships within 48 hours · Estimated delivery Jul 4 - Jul 9

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For Your Every Summer RSVP, with Code: SUMMER15

Description

Bowl and Bone Classic Brown Foam Dog MatThis designer brown foam dog mat by Bowl and Bone has a soft foam fill that moulds to your dog's body shape for extra support. Features a removable cover which can be machine washed at 30 degrees or hand washed. Do not tumble dry and do not bleach. Available in three sizes and many stunning colours. Sizes: Small 70cm x 50cm x 5cm Medium 80cm x 60cm x 5cm Large 100cm x 70cm x 5cm Bespoke Size Please send us an email with your required measurements and

This designer brown foam dog mat by Bowl and Bone has a soft foam fill that moulds to your dog's body shape for extra support.

Features a removable cover which can be machine washed at 30 degrees or hand washed. Do not tumble dry and do not bleach.

Available in three sizes and many stunning colours.

Sizes:

Small – 70cm x 50cm x 5cm
Medium – 80cm x 60cm x 5cm
Large – 100cm x 70cm x 5cm

Bespoke Size - Please send us an email with your required measurements and we will get a quote for you.

PLEASE NOTE: All Bowl & Bone Republic products are shipped from Poland so please allow 1-2 weeks for delivery. Should you need to return or exchange a Bowl and Bone product, you will have to send the item back to them directly in Poland so please double check you are ordering the correct size!

All Bowl & Bone items are excluded from our free UK delivery offer.

Made by Bowl & Bone Republic.

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: 64160683965

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4.6 ★★★★★
Based on 2193 reviews
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Product Reviews
E
eyal Fishman
Lowell, 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
Los Angeles, 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
Natrona Heights, 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
Los Angeles, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Los Angeles, 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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