SKU: 51398014816

Blau – Schwingel – Festuca glauca 'Elijah Blue' – ↑10-25cm – Ø9cm – 60 Pflanzen – graues Ziergras, pflegeleicht & ganzjährig attraktiv – Steingarten

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Description

Blau – Schwingel – Festuca glauca 'Elijah Blue' – ↑10-25cm – Ø9cm – 60 Pflanzen – graues Ziergras, pflegeleicht & ganzjährig attraktiv – SteingartenGanzjhrig dekorativ: Blaue, graue Halme bringen Farbe und Struktur in Beete, Steingrten und Pflanzkbel. Bltezeit: Elegante weie Rispen im Mai und Juni fr zustzlichen Gartencharme. Pflegeleicht & robust: Wchst am besten in voller Sonne auf gut durchlssigem, trockenem Boden. Optimales Wachstum: Rckschnitt im frhen Frhjahr und Teilung alle 23 Jahre erhalten die Pflanzengesundheit und Schnheit. Nachhaltig verpackt: Geliefert in recycelbaren Anzuchttpfen

🌿 Ganzjährig dekorativ: Blaue, graue Halme bringen Farbe und Struktur in Beete, Steingärten und Pflanzkübel.
🌸 Blütezeit: Elegante weiße Rispen im Mai und Juni für zusätzlichen Gartencharme.
☀️ Pflegeleicht & robust: Wächst am besten in voller Sonne auf gut durchlässigem, trockenem Boden.
✂️ Optimales Wachstum: Rückschnitt im frühen Frühjahr und Teilung alle 2–3 Jahre erhalten die Pflanzengesundheit und Schönheit.
♻️ Nachhaltig verpackt: Geliefert in recycelbaren Anzuchttöpfen direkt aus unserer Gärtnerei – kräftige, langlebige Pflanzen garantiert.

Der Blau-Schwingel Festuca glauca 'Elijah Blue' ist ein faszinierendes, blau-graues Ziergras, das Ihren Garten das ganze Jahr über optisch bereichert. Mit seiner kompakten Wuchsform eignet es sich ideal für Steingärten, Beete, Rabatten oder Pflanzkübel.

Die Pflanze blüht im Mai und Juni mit eleganten weißen Rispen und überzeugt durch ihre pflegeleichte und robuste Natur. Sie gedeiht am besten in voller Sonne auf gut durchlässigem, trockenem Boden. Um das Wachstum und die Vitalität zu fördern, sollte der Blau-Schwingel im frühen Frühjahr zurückgeschnitten und alle 2–3 Jahre geteilt werden.

– Höhe: ↑10-25cm
– Topfdurchmesser: Ø9cm
– Stückzahl: 60
– Verwendung: Beete, Steingärten, Pflanzkübel
– Standort: Sonne
– Pflege: Anspruchslos, pflegeleicht, langlebig

Hinweis: Pflanzen sind lebende Produkte und können vom Produktfoto abweichen. Wir kultivieren unsere Pflanzen auf natürliche Weise, greifen nur bei Bedarf ein und liefern kräftige, gesunde Exemplare.

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SKU: 51398014816

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4.6 ★★★★★
Based on 22 reviews
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Product Reviews
E
eyal Fishman
Omaha, 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
Waukegan, 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
Pawtucket, 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
Lowell, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Port Orchard, 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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