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Ethisch Hacken: Penetrationstests, Ausnutzungstechniken und Red-Team-Operationen mit Python
Paperback
Publisher: Independently Published
Published: Jul 9 2026
Pages: 330
Weight: 0.88
Height: 0.82 Width: 6.00 Depth: 9.00
Language: German
ETHISCH HACKEN ist ein praxisorientierter Leitfaden für IT-Sicherheitsfachleute, Penetrationstester, Systemadministratoren und Entwickler, die moderne Sicherheitsprüfungen verantwortungsvoll planen und durchführen möchten.
Das Buch vermittelt fundierte Kenntnisse über Penetrationstests, Sicherheitsanalysen und Red-Team-Methoden aus der Perspektive der defensiven Cybersicherheit. Dabei steht das Ziel im Mittelpunkt, Schwachstellen frühzeitig zu erkennen, Risiken zu bewerten und Systeme nachhaltig zu schützen.
Mit Python als leistungsfähigem Werkzeug für Automatisierung und Analyse lernst du, professionelle Sicherheitsprozesse effizient umzusetzen - von der Planung eines Assessments bis zur Dokumentation der Ergebnisse. Praxisnahe Beispiele, bewährte Methoden und etablierte Sicherheitsstandards machen dieses Buch zu einer wertvollen Ressource für den beruflichen Einsatz.
Du lernst unter anderem:
- Wie professionelle Penetrationstests strukturiert und durchgeführt werden
- Wie Sicherheitslücken systematisch identifiziert und bewertet werden
- Wie Python zur Automatisierung von Sicherheitsaufgaben eingesetzt wird
- Wie Red-Team-Ãœbungen geplant und verantwortungsvoll umgesetzt werden
- Wie Sicherheitsbewertungen dokumentiert und priorisiert werden
- Wie Netzwerke, Webanwendungen und Unternehmensumgebungen analysiert werden
- Wie Sicherheitsma nahmen auf Basis der Ergebnisse verbessert werden
- Wie bewährte Methoden und Standards in den Sicherheitsprozess integriert werden
Dieses Buch richtet sich an Leser mit Grundkenntnissen in IT und Netzwerken, die ihre Fähigkeiten im Bereich der offensiven Sicherheit ausbauen und gleichzeitig zu einer stärkeren Sicherheitskultur in Unternehmen beitragen möchten.
ETHISCH HACKEN - Der praxisnahe Leitfaden für professionelle Penetrationstests, Red-Team-Methoden und Sicherheitsanalysen mit Python.
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