Python for Cybersecurity

### 1. **Python for Cybersecurity: Using Python for Cyber Offense and Defense**

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**Key Features**:

- Structured around the **MITRE ATT&CK framework**, covering attack techniques like reconnaissance, privilege escalation, lateral movement, and defense strategies.

- Includes **downloadable sample code** for hands-on learning.

- Focuses on real-world applications, such as automating penetration testing and threat detection .

**Target Audience**: Professionals and enthusiasts interested in both offensive and defensive cybersecurity tactics.

### 2. **Security Automation with Python**

**Key Features**:

- Emphasizes **automation for scalability** in security operations (e.g., vulnerability scans, firewall rule management).

- Uses libraries like Paramiko, Requests, and PyAutoGUI for tasks like network scanning and threat intelligence.

- Integrates with frameworks like **NIST 800-53** and **FedRAMP** .

**Target Audience**: Security analysts and developers aiming to streamline workflows through automation.

### 3. **Python for Cybersecurity Cookbook**

**Author**: Nishant Krishna (2023)

**Key Features**:

- Covers **forensic analysis, malware/phishing analysis, and wireless device security**.

- Includes practical recipes for tasks like metadata extraction, reverse engineering, and system hardening.

- Balances **defensive and offensive techniques**, including penetration testing .

**Target Audience**: Intermediate learners seeking actionable solutions for cybersecurity challenges.

### 4. **Cyber Security: Python for Penetration Testing**

**Author**: Not specified (Independently published, 2021)

**Key Features**:

- Introductory guide to writing Python scripts for hacking tools.

- Focuses on fundamentals of cybersecurity and Python programming.

- Critiqued as **too basic** for advanced users .

**Target Audience**: Beginners with no prior cybersecurity or coding experience.

### 5. **Full Stack Python Security**

**Author**: Dennis Byrne (Manning)

**Key Features**:

- Focuses on **cryptography, TLS certificates, and securing Django applications**.

- Addresses common attacks (e.g., SQL injection, cross-site scripting) and defenses like Content Security Policy.

- Ideal for developers building secure web applications .

**Target Audience**: Intermediate Python programmers working on full-stack projects.

Additional Recommendations from Forums:

- **Violent Python** (TJ O’Connor): A free resource for scripting hacking tools .

- **Black Hat Python** (Justin Seitz): Focuses on network analysis and exploit development .

Summary:

For **beginners**, *Cyber Security: Python for Penetration Testing* offers a gentle introduction but may lack depth. **Intermediate users** should prioritize *Python for Cybersecurity Cookbook* or *Python for Cybersecurity: Using Python for Cyber Offense and Defense*. For **developers securing web apps**, *Full Stack Python Security* is highly recommended. Note that *Security Automation with Python* (releasing in 2025) is a forward-looking choice for automation trends .