SKU: 63028690955

ormedic balancing facial cleanser travel size

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Description

ormedic balancing facial cleanser travel sizeEen milde, sulfaatvrije en verfrissende reinigingsgel die op milde wijze onzuiverheden verwijdert en de huid zacht, schoon en gehydrateerd achterlaat. alle huidtypes gevoelige huid onevenwichtige huid gerriteerde huid hyaluronzuur Bindt water en helpt de huid een gezond vochtgehalte te behouden panthenol vitamine B5 derivaat; verbetert het vochtgehalte van de huid en verzacht het uiterlijk van de huid Calendula Officinalis Bloemextract Plantaardig

Een milde, sulfaatvrije en verfrissende reinigingsgel die op milde wijze onzuiverheden verwijdert en de huid zacht, schoon en gehydrateerd achterlaat.
• alle huidtypes
• gevoelige huid
• onevenwichtige huid
• geïrriteerde huid
hyaluronzuur
Bindt water en helpt de huid een gezond vochtgehalte te behouden

panthenol
vitamine B5-derivaat; verbetert het vochtgehalte van de huid en verzacht het uiterlijk van de huid

Calendula Officinalis Bloemextract
Plantaardig actief ingrediënt met een hoog caroteengehalte; bevordert de huidverjonging en heeft antibacteriële eigenschappen
Aloë Barbadensis bladsap
hyaluronzuur
panthenol
Calendula Officinalis-extract
Groene thee



ALOE BARBADENSIS BLAD SAP*, AQUA/WATER/EAU, NATRIUM LAUROYL METHYL ISETHIONAAT, GLYCERINE, PEG-18 GLYCERYL OLEAAT/COCOAAT, COCAMIDOPROPYL BETAINE, PEG-120 METHYL GLUCOSE DIOLEAAT, SORBITOL, DECYL GLUCOSIDE, FENOXYETHANOL, CAPRYL/CAPRIC TRIGLYCERIDE, ORYZA SATIVA (RIJST) EXTRACT*, PANTHENOL, TRISODIUM ETHYLEENDIAMINE DISUCCINATE, CAMELLIA SINENSIS BLADEXTRACT*, NATRIUMBENZOAAT, ETHYLHEXYLGLYCERINE, AMYLKANEEL, CITRUS AURANTIUM DULCIS (SINAASAPPEL) FRUITEXTRACT, CITRUS LIMON (CITROEN) SCHILEXTRACT, JUNIPERUS VIRGINIANA HOUTEXTRACT, MUSA SAPIENTUM (BANAAN) FRUITEXTRACT, PRUNUS ARMENIACA (ABRIKOOS) FRUITEXTRACT, PYRUS MALUS (APPEL) FRUITEXTRACT, LIMONEEN, ARNICA MONTANA BLOEMEXTRACT*, CALENDULA OFCINALIS BLOEMEXTRACT*, CHAMOMILLA RECUTITA (MATRICARIA) BLOEMEXTRACT *, SYMPHYTUM OFCINALE WORTELEXTRACT*, BENZYLALCOHOL, LEUCONOSTOC FERMENTFILTRAAT*, ANANAS SATIVUS (ANANAS) FRUITEXTRACT, BOTEREXTRACT, CITRUS PARADISI (GRAPEFRUIT) FRUITEXTRACT, COCOS NUCIFERA (KOKOSNOOT) FRUITEXTRACT, COFFEA ARABICA (KOFFIE) BLAD-/ZAADEXTRACT, CUCUMIS MELO (MELOEN) FRUITEXTRACT, FRAGARIA CHILOENSIS (AARDBEI) FRUITEXTRACT, OLIJFOLIE PEG-7 ESTERS, PRUNUS AMYGDALUS DULCIS (ZOETE AMANDEL) FRUITEXTRACT, RUBUS IDAEUS (FRAMBOOS) FRUITEXTRACT, VANILLE PLANIFOLIA FRUITEXTRACT , NATRIUM PEG-7 OLIJFOLIE CARBOXYLAAT, AVENA SATIVA (HAVER) KERNEXTRACT, SOJAPEROXIDASE, SUPEROXIDEDISMUTASE, TOCOFEROL, KALIUMSORBAAT. *Gecertificeerd biologisch.
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SKU: 63028690955

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4.3 ★★★★★
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E
eyal Fishman
Los Angeles, 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
Bozeman, 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
Omaha, 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
Grantham, 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.
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Reviewed in the United States on October 14, 2024

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