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Offensive Security Using Python: A hands-on guide to offensive tactics and threat mitigation using practical strategies
89% of respondents would recommend this to a friend
USD 35
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Unlock Python's hacking potential and discover the art of exploiting vulnerabilities in the world of offensive cybersecurity.
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What Stands Out
Detalles de producto
| Publisher | Packt Publishing |
| Publication date | September 30, 2024 |
| Language | English |
| Print length | 248 pages |
| ISBN-10 | 1835468160 |
| ISBN-13 | 978-1835468166 |
| Item Weight | 15.2 ounces (430.92 grams) |
| Dimensions | 7.5 x 0.56 x 9.25 inches (19.1 x 1.4 x 23.5 cm) |
Who Should Buy?
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Cybersecurity Professionals
Ideal for security experts seeking to enhance their offensive tactics and improve threat mitigation strategies in their roles.
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Penetration Testers
Perfect for testers looking for hands-on techniques and practical applications of Python in real-world security assessments.
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Students and Learners
Great for individuals learning about cybersecurity and wanting a practical approach to offensive security using Python.
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Beginners in IT
Not suitable for those with little to no experience in technology or cybersecurity concepts and practices.
DESCRIPCIÓN DEL PRODUCTO
Offensive Security Using Python: A hands-on guide to offensive tactics and threat mitigation using practical strategies
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Internet, Groupware, & Telecommunications Editorial Review
**Editorial Review of "Offensive Security Using Python"** "Offensive Security Using Python" has gained a positive reception among professionals and enthusiasts in the field of cybersecurity, particularly for those focusing on offensive security tactics. The book is acclaimed for its comprehensive approach, catering to a wide range of readers from beginners to seasoned experts. Readers have praised its clear, instructive style and practical coding examples that effectively bridge theoretical knowledge and hands-on experience. The text begins with the foundational aspects of setting up a Python environment, making it accessible for novices while gradually advancing to more complex offensive techniques like web and cloud exploitation. This tiered approach allows readers to develop skills progressively, with practical examples that demystify coding concepts and implementations. Experienced users have notably appreciated the well-explained scripts and techniques that enhance their capability in both Red and Blue team operations. Moreover, the inclusion of defensive strategies alongside offensive tactics is particularly noteworthy. This holistic perspective not only educates on attacking methodologies but also emphasizes the importance of proactive security measures, making the content relevant for today's cybersecurity landscape, especially with the rising prevalence of cloud technologies. Readers have found the book to be a valuable addition to their libraries, often referencing it as an excellent training tool for both security engineers and coding practitioners. Overall, "Offensive Security Using Python" stands out as a significant resource for enhancing one's skills in offensive security, automation, and coding practices in relation to threat mitigation. **
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ventajas
- Informative for both beginners and advanced practitioners in offensive security.
- Clear and correct coding examples that provide practical applications.
- Comprehensive coverage of both offensive techniques and defensive strategies.
- Focus on relevant topics, such as cloud security and automation tools.
- Accessible introduction to Python that aids novice users.
Contras
- May be best suited for those with at least basic Python knowledge for optimal use.
Product Price History
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características y beneficios
- Master offensive security techniques using Python.
- Explore vulnerabilities and automate security tasks effectively.
- Gain hands-on experience with real-world examples and insights.
- Learn secure coding practices to enhance application security.
- Develop custom tools for streamlined security automation.
- Stay ahead of emerging threats in the evolving cybersecurity landscape.
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