Category 1: Operating Systems & Frameworks

Operating systems form the backbone of all computing environments, making them a primary target for cyber attacks. An operating system controls how hardware resources are allocated, how processes are executed, and how users interact with the system. Understanding these components is essential for identifying weaknesses that attackers may exploit.

Linux and Windows are the most widely used operating systems in enterprise environments. Cybersecurity professionals must understand file systems, process management, user privileges, and service control mechanisms. Misconfigurations in any of these areas can lead to serious security breaches.

Privilege escalation is a common operating system attack technique. Attackers often gain initial access as low-privileged users and then exploit vulnerabilities or misconfigurations to obtain administrative or root access. Understanding how permissions work is critical for preventing this type of attack.

Security frameworks provide structured approaches to defending systems and understanding attacker behavior. Frameworks such as MITRE ATT&CK categorize known attack techniques, while NIST and OWASP provide guidelines for securing systems and applications.

Organizations rely on these frameworks to assess risk, respond to incidents, and improve their overall security posture. Learning to apply frameworks ensures that security efforts are systematic rather than reactive.

Example: A misconfigured Linux sudo policy allows a user to execute system binaries as root, resulting in full system compromise.

Category 2: Network Scanning & Analysis

Network scanning is the process of identifying devices, services, and open ports within a network. It is often the first technical step in both offensive security testing and defensive network monitoring. Understanding network topology allows security professionals to identify potential attack surfaces.

Attackers use scanning techniques to locate vulnerable services that may be exposed to the internet or internal networks. Tools such as port scanners help identify which services are running and whether they are outdated or misconfigured.

Network analysis goes beyond scanning by examining traffic patterns and data flows. Security analysts inspect packets to detect anomalies, malicious communication, or unauthorized data transfers.

Understanding protocols such as TCP, UDP, HTTP, DNS, and FTP is essential for analyzing network behavior. Attackers often exploit weaknesses in protocol implementations to gain access or disrupt services.

Effective network monitoring helps organizations detect intrusions early and prevent data breaches. Combining scanning with analysis allows teams to both identify and respond to threats efficiently.

Example: A network scan reveals an open SSH service using weak authentication, exposing the system to brute-force attacks.

Category 3: Web Application Security

Web applications are among the most targeted systems because they are accessible from anywhere on the internet. They often handle sensitive data such as credentials, financial information, and personal records, making them attractive targets for attackers.

Web application security focuses on identifying vulnerabilities caused by insecure coding practices, poor input validation, and flawed authentication mechanisms. Even small mistakes in application logic can lead to severe security consequences.

Common web vulnerabilities include SQL Injection, Cross-Site Scripting (XSS), and Cross-Site Request Forgery (CSRF). These attacks exploit how applications process user input and interact with databases or browsers.

Authentication and session management are critical components of web security. Weak session handling can allow attackers to hijack user sessions or impersonate legitimate users.

Learning web security enables developers to build secure applications and allows penetration testers to identify weaknesses before attackers exploit them.

Example: SQL Injection allows an attacker to manipulate database queries and extract user credentials without authorization.

Category 4: Password Cracking & Wireless

Passwords remain one of the most common authentication mechanisms, making them a frequent target for attackers. Weak or reused passwords significantly increase the risk of compromise. Understanding password security is essential for protecting systems.

Password cracking techniques include brute-force attacks, dictionary attacks, and the use of precomputed hash tables. These methods exploit poor password choices and weak hashing algorithms.

Wireless networks are also common attack targets. Poorly configured Wi-Fi networks can allow attackers to intercept traffic, capture authentication handshakes, or gain unauthorized access.

Understanding wireless encryption standards such as WEP, WPA2, and WPA3 helps security professionals identify weaknesses and implement stronger protections.

Combining strong password policies with secure wireless configurations significantly reduces the risk of unauthorized access.

Example: An attacker cracks a weak WPA2 Wi-Fi password after capturing a handshake.

Category 5: Reconnaissance & OSINT

Reconnaissance is the process of gathering information about a target before launching an attack or defense strategy. Open-Source Intelligence (OSINT) uses publicly available data to understand an organization’s digital footprint.

OSINT sources include websites, domain records, social media platforms, job postings, and public databases. Attackers use this information to identify potential weaknesses without directly interacting with systems.

Social engineering attacks often rely heavily on OSINT. Information gathered from public sources can be used to craft convincing phishing emails or impersonation attempts.

Defenders also use OSINT to understand what information about their organization is publicly accessible and to reduce unnecessary exposure.

Effective reconnaissance highlights the importance of privacy, awareness, and security training for employees.

Example: Employee details found online are used to launch targeted phishing attacks.

Category 6: Vulnerability Scanning

Vulnerability scanning is an automated process that identifies known security weaknesses in systems, applications, and networks. Scanners compare software versions and configurations against databases of known vulnerabilities.

Regular scanning helps organizations stay ahead of attackers by identifying outdated software and missing patches before exploitation occurs.

Understanding vulnerability severity and impact is critical. Not all vulnerabilities pose the same level of risk, and remediation efforts must be prioritized accordingly.

Vulnerability management also includes verifying scan results, addressing false positives, and implementing long-term security improvements.

When combined with patch management and continuous monitoring, vulnerability scanning significantly reduces organizational risk.

Example: A vulnerability scan detects a critical CVE in a web server, prompting immediate patching.