Various Malware Classes And Their Characteristics

This section provides an overview of different malware classes, their characteristics, propagation methods, and impacts on systems.

Viruses

This section covers computer viruses, detailing their definition, propagation mechanisms, operational characteristics, and typical impacts on systems.

Worms

Worms are self-replicating malware that propagate across networks without needing a host program.

Trojans (Trojan Horses)

Trojans, or Trojan horses, are malicious programs that deceive users by masquerading as legitimate software, leading to harmful actions once executed.

Rootkits

Rootkits are sophisticated malicious software that provide unauthorized users with administrative-level access while concealing their existence and operations.

Ransomware

Ransomware is malware that encrypts files or locks systems, demanding payment for decryption.

Spyware

Spyware is malicious software designed to secretly gather information about users without their consent, operating covertly to monitor activities and exfiltrate data.

Adware

Adware is software that displays advertisements, often bundled with legitimate applications, and can sometimes include spyware functionalities.

Bots / Botnets

Bots are compromised computers that can be remotely controlled by an attacker, while botnets are networks of these bots used for various malicious activities.

Fileless Malware

Fileless malware operates entirely within a computer's memory without leaving traditional file traces, making it difficult to detect and analyze.

Difference Between Static Analysis And Dynamic Analysis

This section delineates the key differences between static and dynamic analysis methodologies used in malware analysis, emphasizing the principles, processes, advantages, and limitations of each.

Static Analysis

Static analysis focuses on examining malicious software without executing it, using techniques to infer its behavior and characteristics.

Dynamic Analysis

Dynamic analysis involves executing malware in a controlled environment to observe its behavior and interactions.

Signature Vs. Behavioral Detection Techniques

This section contrasts signature-based and behavioral detection techniques in malware detection, outlining the principles, advantages, and limitations of each approach.

Signature-Based Detection

Signature-based detection identifies known malware through unique patterns and signatures.

Behavioral Detection (Heuristic/anomaly-Based Detection)

Behavioral detection identifies malicious actions in applications by monitoring their behavior rather than relying solely on known malware signatures.