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Pen-Testing and Ethical Hacking

Infrastructure Pentesting
  • Information Gathering
  • Scanning Techniques
  • Network Attacks (SSH, SMTP, SMB, DNS, DHCP, etc)
  • Vulnerability Assessment 
  • Exploitation (Windows, Linux, Routers and Switches) 
  • Post Exploitation  (Maintain Access, Privilege Escalation)

Web Application Pentesting
  • Information gathering
  • OWASP top 10
  • Session Security
  • Authentication and Authorization
  •  SQL Injection
  • XSS
  • CRSF
  •  File Inclusion 
  • Web shell

Mobile Device Pentesting
  • mobile OSs security mechanisms and implementations
  • mobile applications static and dynamic analysis
  • Mobile OS architecture and design
  •  Android: Device rooting, Tapjacking, etc
  • IOS: Authorization, jailbreaking, etc.

Wireless Network Pentesting
  • Bypassing WLAN Authentication – Shared Key, MAC Filtering, Hidden SSIDs
  • Cracking WLAN Encryption – WEP, WPA/WPA2 Personal and Enterprise
  • Attacking the WLAN Infrastructure – Rogues Devices, Evil Twins, DoS Attacks, MITM
  • Advanced Enterprise Attacks – 802.1x, EAP, LEAP, PEAP, EAP-TTLS
  • Attacking the Wireless Client – Honeypots and Hotspot attacks, Caffe-Latte, Hirte, Ad-Hoc Networks and Viral SSIDs, WiFishing
  • Breaking into the Client – Metasploit, SET, Social Engineering
  • Enterprise Wi-Fi Worms, Backdoors and Botnets

System Security
  • Compiled and decompiled programs
  • Winding the stack
  • Foundations of reverse engineering
  • Basics of Buffer Over flows.

Scripting for Security Professional:

Ruby and Python for Information Security
Java Scripting for Security Professionals

Exploitation Research

Windows App Reverse Engineering
  • Debuggers
  • Stack and Heap Overflow
  • Kernel Flows
  • Automation

Linux App Reverse Engineering
  • Debuggers
  • Stack and Heap Overflow for Linux OS
  • Kernel Flows
  • Automation for Linux OS

Malware Analysis

Shell Coding for 32 and 64 bit Application
Static Analysis
Dynamic Analysis
Memory-based Malware

Machine Learning and Artificial Intelligence

Machine Learning using Python
Machine Learning using R
Artificial Intelligence for cyber security
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