SKU: 15596451401

Millor Premium Extruded Fresh Adult Lamb / Rice

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Description

Millor Premium Extruded Fresh Adult Lamb / RiceMillor Premium Extruded Fresh Adult Lamb Rice 15 kg De Millor Premium Extruded Fresh Adult Lamb Rice 15 kg is een smakelijke, volledige brok met lam en rijs voor volwassen honden. Millor maakt huisdierbezit een feest. Aandacht en ambacht zijn de sleutel zijn tot een gelukkige hond. Millor is een verzameling van pure, heldere en eerlijke ingredinten waardoor je een buitengewone maaltijd aan jouw hond kan serveren. Millor is samengesteld aan de hand van

Millor Premium Extruded Fresh Adult Lamb/Rice 15 kg
De Millor Premium Extruded Fresh Adult Lamb/Rice 15 kg is een smakelijke, volledige brok met lam en rijs voor volwassen honden. Millor maakt huisdierbezit een feest. Aandacht en ambacht zijn de sleutel zijn tot een gelukkige hond. Millor is een verzameling van pure, heldere en eerlijke ingrediënten waardoor je een buitengewone maaltijd aan jouw hond kan serveren. Millor is samengesteld aan de hand van het instinctieve dieet van jouw hond. Het resultaat is een maaltijd met een goede balans tussen dierlijke proteïnen, de juiste vetten, vitamines en mineralen. Iedere Millor blend bevat een verzameling van lokale en goed verteerbare ingrediënten. De brokken hebben een hoge verteerbaarheid en bevatten geen kunstmatige geur-, kleur- of smaakstoffen.
Volledige diervoeding voor volwassen honden.

- Hondenbrokken met lam- en rijstsmaak
- Van pure en eerlijke ingrediënten
- Geen kunstmatige geur-, kleur- of smaakstoffen

Inhoud: 15 kg

Samenstelling: Lam (15% vers lam en 15% gedroogd lam), rijst, maïs, erwten, gevogeltevet, gedroogde bietenpulp, biergist, lijnzaad, gedroogde johannesbrood, zalmolie, eipoeder, inuline (bron van FOS), cranberries, chondroïtine, glucosamine

Analytische bestanddelen: Ruwe eiwit 25%, ruw vet 15%, ruwe celstof 3%, ruwe as 7,5%, Calcium 1,4%, Fosfor 1%

Toevoegingen (per kg): Nutritionele toevoegingsmiddelen: Vitamine A 18000 IE, Vitamine D3 1800 IE, Vitamine E (3a700) 200 IE, Vitamine C 70 mg, E1 (IJzer) 50 mg, E2 (Jodium) 1,5 mg, E4 (Koper) 5 mg, E5 (Mangaan) 35 mg, E6 (Zink) 65 mg, L-Carnitine 50 mg, Taurine 1000 mg, Yucca Schidigera 200 mg, bevat antioxidanten

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Exchange/Return Notes
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SKU: 15596451401

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4.2 ★★★★★
Based on 25 reviews
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Product Reviews
E
eyal Fishman
Lake Worth, 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
Houston, 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
Belleville, 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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