Besichtigung der Brennerei mit Verkostung von Gin, Korn und Geisten
SKU: 73867617004

Besichtigung der Brennerei mit Verkostung von Gin, Korn und Geisten

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Description

Besichtigung der Brennerei mit Verkostung von Gin, Korn und GeistenHerzlich willkommen zu einem unvergesslichen Geschmackserlebnis! Euch erwartet ein circa 60 mintiges Tasting mit Gin, Korn und Geisten aus und in der Brennerei Elmendorf. Wir verraten euch alles ber das Brennerei Handwerk. Gemeinsam verbringt ihr ein vergngsames Tasting mit vielen Kostproben und besichtigt die Brennerei mit unserer neuen Destille Henriette und den jahrhundertealten Kornfssern. Es wird spannend, schlielich hat man einiges zu erzhlen,

Herzlich willkommen zu einem unvergesslichen Geschmackserlebnis! Euch erwartet ein circa 60-minütiges Tasting mit Gin, Korn und Geisten aus und in der Brennerei Elmendorf. 

Wir verraten euch alles über das Brennerei-Handwerk. Gemeinsam verbringt ihr ein vergnügsames Tasting mit vielen Kostproben und besichtigt die Brennerei mit unserer neuen Destille „Henriette“ und den jahrhundertealten Kornfässern.

Es wird spannend, schließlich hat man einiges zu erzählen, wenn man schon seit 1689 Korn macht, in 9. Generation brennt und die Urform des deutschen Gins erfunden hat.

Seid dabei – wir freuen uns auf euch!

 

Bitte lies auch diese Infos zu unseren Veranstaltungen mit Anfahrtsbeschreibung und anderen wichtigen Hinweisen.

 

💝 Möchtest du die Besichtigung verschenken? Dann klicke hier.

🎁 Hast du einen Gutschein geschenkt bekommen? Dann wähle ein Datum 👆 und trage bei der Bestellung deinen Gutscheincode ein, um deine Eintrittskarte gratis zu bekommen.

Tasting als Team-Event im Unternehmen? Kontaktiere uns über [email protected] und wir übernehmen Planung und Sonderwünsche wie z. B. zusätzliche Goodies. Auch für private Gruppen vereinbaren wir gern individuelle Termine und Uhrzeiten.

Bitte beachte diese wichtigen Informationen und Bedingungen zu unseren Events.

Hinweis zur Durchführung
Die Brennerei-Besichtigung findet ab 2 Teilnehmern statt. Sollte die Mindestteilnehmerzahl 14 Tage vor dem Termin nicht erreicht sein, behalten wir uns vor, den Termin abzusagen.
Natürlich erhältst du in diesem Fall dein Geld vollständig zurück oder kannst kostenfrei auf einen anderen Termin umbuchen.

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Exchange/Return Notes
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SKU: 73867617004

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4.1 ★★★★★
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Product Reviews
E
eyal Fishman
Boise, 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
Grantham, 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
Cuba, 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
Port Orchard, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Natrona Heights, 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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