Legitimized [SEC573: Automating Information Security with Python] Expert – Led Video Course – MASTERYTRAIL

Lesson 1: Introduction to Python for Security Automation
Overview of Python in InfoSec
Setting up Python environments
Installing Python 3.x
IDEs for security scripting
Using virtual environments
Python package management (pip, pipx)
Understanding scripts vs. modules
Basic Python syntax review
Running Python scripts
Python documentation resources
Lesson 2: Python Language Fundamentals
Variables and data types
Strings and string formatting
Lists, tuples, and sets
Dictionaries and key-value pairs
Control flow: if, elif, else
Loops: for and while
Functions and arguments
Exception handling
Importing modules
Writing reusable code
Lesson 3: Working with Files and Directories
Reading files
Writing and appending files
Working with binary files
Parsing CSV files
JSON data handling
Directory navigation (os, pathlib)
File permissions and metadata
File searching and pattern matching
Temporary files
Automating file operations
Lesson 4: Regular Expressions for Security Tasks
Regex syntax overview
Matching patterns in logs
Extracting data with regex
Regex in Python (re module)
Searching and splitting text
Validating input data
Multi-line and multi-match operations
Compiled regex patterns
Replacing text
Practical regex exercises
Lesson 5: Network Sockets Programming
TCP client fundamentals
TCP server basics
UDP sockets
Sending/receiving data
Handling timeouts
Socket exceptions
Port scanning basics
Banner grabbing
Threaded socket servers
Security considerations
Lesson 6: HTTP Requests and Web Automation
Introduction to HTTP protocol
Using requests library
GET and POST requests
Handling response data
Authentication with requests
Session handling
File uploads and downloads
Automating web forms
Web scraping basics
Error handling in web requests
Lesson 7: Parsing and Scraping Web Content
HTML parsing with BeautifulSoup
Navigating the DOM tree
Extracting links and forms
Handling JavaScript-heavy sites
Working with lxml
Data cleaning and normalization
Pagination in scraping
Rate limiting and delays
Storing scraped data
Ethics and legality of scraping
Lesson 8: Automating Security Tools
Integrating Nmap with Python
Automating Nessus scans
Calling Metasploit via Python
Parsing tool outputs
Using subprocess module
Creating custom wrappers
Handling tool errors
Scheduling scans
Collecting scan results
Reporting automation
Lesson 9: Working with APIs for Security
Understanding APIs and REST
API authentication methods
Consuming security tool APIs
Building custom API clients
Parsing JSON/XML API responses
Error handling in APIs
Rate limits and retries
Automating threat intelligence APIs
Integrating with SIEM platforms
Logging API interactions
Lesson 10: Data Serialization and Deserialization
Serializing Python objects
Working with JSON
Working with YAML
Pickle module basics
Security risks in deserialization
CSV file serialization
Handling XML data
Structuring data for storage
Data integrity checks
Secure data serialization practices
Lesson 11: Logging and Monitoring Automation
Python logging module
Logging to files and syslog
Log rotation and management
Parsing log files
Real-time log monitoring
Searching for IOCs in logs
Alerting on suspicious events
Integrating with SIEM
Visualizing log data
Custom log analyzers
Lesson 12: Automating Incident Response Workflows
Incident response lifecycle
Automating alert triage
Enriching alerts with context
Automated evidence collection
Integrating with ticketing systems
Playbooks and runbooks
Notifying responders
Containment automation
Generating incident reports
Lessons learned automation
Lesson 13: Malware Analysis with Python
Static analysis automation
Hashing files (MD5, SHA1, SHA256)
Analyzing PE files
Extracting metadata
Automating VirusTotal queries
Sandbox automation basics
YARA rules with Python
String extraction
Unpacking simple packers
Reporting analysis findings
Lesson 14: Automating Phishing Detection
Email parsing basics
Extracting headers and attachments
URL extraction and analysis
Checking blacklists/whitelists
Analyzing email content
Detecting spoofed addresses
Automated phishing report generation
Integrating with mail gateways
Automating user notifications
Logging phishing incidents
Lesson 15: Handling and Analyzing PCAP Files
Introduction to PCAP format
Using Scapy for packet parsing
Extracting sessions
Filtering by protocol
Extracting files from PCAP
Automating signature detection
Generating traffic statistics
Detecting anomalies
Visualizing PCAP data
Automating report generation
Lesson 16: Password Cracking and Hash Analysis
Common hash formats
Automating hash identification
Brute force scripts
Dictionary attacks
Integrating with hashcat/John
Salting and peppering techniques
Hash comparison
Secure password storage
Reporting cracked hashes
Mitigation recommendations
Lesson 17: Vulnerability Management Automation
Parsing vulnerability scan results
Mapping CVEs to assets
Prioritizing vulnerabilities
Automated ticket creation
Integrating with patch management
Notification workflows
Tracking remediation status
Generating executive reports
Risk scoring automation
Compliance automation
Lesson 18: OSINT Automation with Python
OSINT fundamentals
Automating Google dorking
Scraping public data sources
Automating Shodan queries
Social media data extraction
Domain and IP lookups
Email address analysis
Automating dark web searches
Compiling OSINT reports
Data privacy considerations
Lesson 19: Automating Threat Intelligence Feeds
Consuming public threat feeds
Parsing STIX/TAXII data
Automating IOC ingestion
IOC enrichment
Deduplication and correlation
Integrating with SIEM/SOAR
Alerting on new threats
Feed reliability assessment
Automating blocklists
Threat feed reporting
Lesson 20: Active Directory Automation and Recon
LDAP queries with Python
Enumerating AD users
Enumerating AD groups
Searching for privileged accounts
Group policy enumeration
Automating Kerberos ticket requests
Password policy analysis
AD security event parsing
Reporting on AD findings
Secure credential handling
Lesson 21: Secure Coding Practices in Python
Input validation techniques
Sanitizing user data
Preventing code injection
Handling secrets securely
Using secure libraries
Avoiding race conditions
Dependency management
Secure error handling
Code reviews and linting
Security testing with Bandit
Lesson 22: Automating Cloud Security Audits
AWS/Boto3 automation basics
Enumerating cloud assets
IAM policy analysis
S3 bucket security checks
Automating CloudTrail log analysis
Identifying misconfigurations
Azure and GCP automation basics
Reporting cloud audit results
Integrating with CSPM tools
Remediation recommendations
Lesson 23: Automating Compliance Checks
Parsing compliance requirements
Mapping controls to scripts
Automating CIS benchmark checks
Reporting deviations
Evidence collection automation
Scheduling periodic checks
Integrating with GRC tools
Generating audit trails
Alerting compliance failures
Automating compliance reports
Lesson 24: SSH Automation and Secure Remote Execution
Using Paramiko for SSH
Key-based authentication
Executing remote commands
Automating file transfers
Handling SSH errors
Parallel SSH connections
Script deployment automation
Gathering remote logs
Secure password handling
Avoiding common SSH pitfalls
Lesson 25: Automating Firewall and Network Device Management
Connecting to firewalls via API
Automating ruleset backups
Parsing configuration files
Rule analysis and optimization
Automating rule deployment
Change logging and rollback
Integrating with network management tools
Alerting on configuration drift
Compliance checks for firewalls
Reporting on firewall status
Lesson 26: Automating Patch Management
Enumerating installed software
Checking for missing patches
Integrating with patch management tools
Scheduling patch scans
Automating patch deployment
Verifying patch success
Reporting patch status
Handling patch exceptions
Notifying stakeholders
Automating patch audit logs
Lesson 27: Security Event Correlation and Analysis
Parsing multiple log sources
Timeline creation
IOC correlation
Event deduplication
Automated event enrichment
Scoring event severity
Alert escalation
Reporting correlated incidents
Integrating with SIEM
Automating root cause analysis
Lesson 28: Automating Email Security Analysis
Parsing inbound/outbound emails
Attachment scanning
URL analysis automation
Email header analysis
Integrating with anti-spam tools
Quarantine automation
Automated user notifications
Reporting email threats
Automating email policy checks
Logging email incidents
Lesson 29: Python for Endpoint Security Automation
Endpoint inventory automation
Automating EDR integrations
Collecting endpoint telemetry
Automated malware scans
USB device monitoring
Automating remediation actions
Alerting on suspicious activity
Reporting endpoint status
Policy enforcement automation
Forensic evidence collection
Lesson 30: Python for Digital Forensics Automation
Acquiring disk images
Automating file carving
Timeline generation
Extracting browser artifacts
Automating registry extraction
Memory dump parsing
Hashing and verifying artifacts
Automated reporting
Chain of custody automation
Integrating with forensic suites
Lesson 31: Automating Network Traffic Analysis
Packet capture automation
Flow data parsing
Protocol detection
Automated anomaly detection
Extracting indicators from traffic
Visualizing network data
Alerting on suspicious flows
Integrating with NIDS/NIPS
Reporting traffic findings
Automating network baseline creation
Lesson 32: Automating Security Testing
Automated vulnerability scanning
Automating web application tests
SQL injection test automation
XSS/CSRF test scripts
Fuzzing with Python
Automated report generation
Integrating with CI/CD pipelines
Scheduling security tests
Alerting test failures
Secure test data handling
Lesson 33: Automating Security Documentation and Reporting
Generating executive summaries
Automated technical reports
Visualizing findings with graphs
Exporting data to PDF/CSV
Integrating with documentation tools
Automation of report templates
Customizing report formats
Scheduling periodic reports
Version control for reports
Secure report dissemination
Lesson 34: Programming Defensive Security Mechanisms
Automated honeypot deployment
Monitoring for suspicious activity
Blocking malicious IPs
Automated threat containment
Intrusion detection with Python
Alerting defenders
Automated deception techniques
Integrating with firewall automation
Logging defensive actions
Reporting defense effectiveness
Lesson 35: Automating Social Engineering Detection
Detecting suspicious communications
Automating phishing simulation analysis
Analyzing social media threats
Automating spear-phishing detection
User awareness campaigns
Integrating with HR tools
Reporting social engineering attempts
Automated data leak detection
Alerting at-risk users
Privacy and ethics considerations
Lesson 36: Automating Secure Development Pipelines
Integrating security checks in CI/CD
Automated static code analysis
Dependency vulnerability scanning
Dynamic application security testing
Automating secrets detection
Enforcing secure coding standards
Reporting build security status
Alerting on pipeline failures
Secure artifact storage automation
Compliance with DevSecOps
Lesson 37: Python for Red Team Automation
Automating reconnaissance tasks
Automated phishing campaigns
Exploitation scripts
Post-exploitation automation
Lateral movement scripts
Data exfiltration automation
C2 communications with Python
Evasion techniques
Red team reporting
OPSEC considerations
Lesson 38: Python for Blue Team Automation
Automating threat hunting
IOC enrichment scripts
Automated log aggregation
Incident detection automation
Alert triage and prioritization
Automating containment actions
Blue team reporting
Integrating with EDR/SIEM
Scripting threat eradication
Automating recovery processes
Lesson 39: Automating Security Policy Enforcement
Parsing security policies
Mapping policies to technical controls
Automated policy compliance checks
Notifying policy violations
Remediation automation
Reporting on policy adherence
Policy exception handling
Automating policy updates
Integrating with GRC systems
Policy audit trail automation
Lesson 40: Automating Mobile Security Testing
Automating APK analysis
Parsing mobile app permissions
Automating static analysis tools
API security testing for mobile
Automating dynamic testing
Mobile traffic analysis
Reporting mobile vulnerabilities
Integrating with MDM tools
Automating mobile compliance checks
Secure mobile testing practices
Lesson 41: Integrating Machine Learning in Security Automation
ML basics for InfoSec
Automating data collection for ML
Preprocessing security data
Feature engineering for threats
Training classifiers in Python
Automating anomaly detection
Model evaluation and validation
Integrating ML detection in pipelines
Automating ML-based alerts
Reporting ML findings
Lesson 42: Automating Security Awareness Programs
Scheduling awareness campaigns
Automating phishing simulations
Tracking user participation
Automating quiz assessments
Reporting training completion
Integrating with HR systems
Customizing content delivery
Alerting managers on non-compliance
Collecting feedback automatically
Measuring program effectiveness
Lesson 43: Automating Container Security
Enumerating running containers
Automating image vulnerability scans
Parsing container logs
Checking container configurations
Automating container compliance checks
Integrating with orchestration tools
Reporting container findings
Alerting on container threats
Automating remediation steps
Secure container deployment automation
Lesson 44: Python for IoT Security Automation
Enumerating IoT devices
Parsing IoT protocols
Automating IoT vulnerability scans
Traffic analysis for IoT
Alerting on abnormal behavior
Integrating with IoT management platforms
Reporting IoT security status
Automating firmware checks
Logging IoT events
Privacy considerations in IoT
Lesson 45: Automating Data Leak Detection
Monitoring public data sources
Automating pastebin and dark web searches
Email and credential leak detection
Integration with DLP systems
Alerting on detected leaks
Automating data classification
Reporting incidents
Data takedown automation
Notifying affected users
Preventive recommendations
Lesson 46: Automating SIEM and SOAR Integrations
Connecting to SIEM APIs
Automating log ingestion
Parsing and normalizing events
Automating alert triage
Orchestrating incident response
Integrating with ticketing systems
Reporting SIEM activity
Automating playbook execution
Measuring response metrics
Continuous improvement automation
Lesson 47: Automating Security Metric Collection
Identifying relevant security metrics
Automating metric extraction
Data normalization
Storing metrics securely
Visualizing metrics
Alerting on metric thresholds
Reporting security posture
Scheduling metric collection
Integrating with dashboards
Continuous metric improvement
Lesson 48: Secure Communication and Encryption Automation
Automating encryption/decryption
Using PyCryptodome/PyCrypto
Automating SSL/TLS checks
Secure key management
Automating certificate management
Encrypting sensitive data at rest
Securing data in transit
Generating cryptographic hashes
Signing/verifying data
Secure communication protocols
Lesson 49: Automating Security Infrastructure as Code
Infrastructure as Code (IaC) overview
Automating security checks in Terraform
Parsing CloudFormation scripts
Automating IaC security policies
Integrating with DevOps pipelines
Alerting on insecure configurations
Reporting IaC security status
Remediation automation
Version control integration
Continuous compliance in IaC
Lesson 50: Capstone Project: Building an Automated Security Platform
Project planning and requirements
Designing architecture
Integrating multiple automation modules
API and database integration
User authentication and access
Dashboard implementation
Automated reporting features
Alerting and notification system
Testing and validation
Deployment and documentation