Biofood Senior 12,5 KG
SKU: 27139081824

Biofood Senior 12,5 KG

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Description

Biofood Senior 12,5 KGBF Petfood Senior 12,5 kg BF Petfood Senior 12,5 kg is een volledige licht verteerbare, natuurlijke en zeer smaakvolle hondenvoeding speciaal ontwikkeld voor de oudere hond. De voeding is rijk aan rund, gevogelte en rijst en bevat zalmolie, glucosamine, chondrotine en echinacea kruiden. Inuline FOS (prebiotica) stimuleert de darmflora en ondersteunt hiermee de gezondheid. Het heeft een hoge acceptatie en verteerbaarheid en een gereduceerd energie ,

BF Petfood Senior 12,5 kg
BF Petfood Senior 12,5 kg is een volledige licht verteerbare, natuurlijke en zeer smaakvolle hondenvoeding speciaal ontwikkeld voor de oudere hond. De voeding is rijk aan rund, gevogelte en rijst en bevat zalmolie, glucosamine, chondroïtine en echinacea kruiden. Inuline FOS (prebiotica) stimuleert de darmflora en ondersteunt hiermee de gezondheid. Het heeft een hoge acceptatie en verteerbaarheid en een gereduceerd energie-, eiwit-, vet- en mineralengehalte. Ook ondersteunt het mobiliteit en gewrichten. Vitamine E en selenium, een antioxidantcomplex, beschermt tegen celveroudering. Zonder chemische toevoegingen. Optimale voeding die zorgt voor een betere vertering, ontlasting en een goede conditie van jouw hond. Voor alle hondenrassen.

- Hoogwaardige natuurlijke grondstoffen
- Met rund, gevogelte, wild zwijn en rijst
- Met zalmolie, glucosamine, chondroïtine en echinacea kruiden
- Hoge acceptatie en verteerbaarheid
- Ondersteunt de mobiliteit en gewrichtsfunctie
- Voor de oudere hond

Samenstelling: dierlijke eiwitten*, maïs, tarwe, tarwegries, rijst, gerst, gedroogde kip, gevogeltevet, gedroogd wild zwijn, gedroogd zeewier, zalmolie, gedroogd johannesbrood, inuline (bron van FOS), gedroogde cranberry, gedroogde appel, spirulina, Echinacea, glucosamine, chondroïtine. *(kip, rund, zalm en wild zwijn)

Analytische bestanddelen: ruw eiwit 22%, ruw vet 7%, ruw as 7,5%, ruwe celstof 3,0%, calcium 1,5%, fosfor 0,9%

Nutritionele toevoegingsmiddelen: vitamine A 18.000 IE, vitamine D3 1800 IE, vitamine E 60 IE, vitamine C 20 mg, ijzer 50 mg, jodium 1,5 mg, koper 5 mg, mangaan 35 mg, zink 65 mg,  taurine 200 mg, L-carnitine 500 mg. Bevat natuurlijke antioxidanten en conserveermiddelen

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SKU: 27139081824

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4.9 ★★★★★
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Product Reviews
E
eyal Fishman
Alexandria, 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
Natrona Heights, 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
Whiting, 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
Pawtucket, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
West Palm Beach, 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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