Malware Analysis & Threat Landscape
Understanding malware is like understanding your enemy. Each variant has distinct behaviors, motivations, and indicators. Modern threats are sophisticated, evasive, and often state-sponsored. This module provides the foundation for recognizing, analyzing, and defending against malicious code.
Common Malware Types & Characteristics
Each malware category has distinct characteristics, propagation methods, and defense strategies. Recognizing patterns helps identify threats and select appropriate countermeasures.
Viruses
Self-replicating code that attaches to clean files and spreads when executed. Requires human action to propagate.
Real Incident:
CI.Alias (2021): Fileless malware used legitimate Windows tools to avoid detection.
Defense:
Antivirus with behavioral analysis, application whitelisting, regular patching.
Worms
Self-propagating malware that spreads across networks without human interaction, exploiting vulnerabilities.
Real Incident:
WannaCry (2017): Exploited EternalBlue SMB vulnerability, infected 200,000+ systems in 150 countries.
Defense:
Network segmentation, rapid patching, disable unnecessary services, EDR.
Trojans
Malicious code disguised as legitimate software. Creates backdoors for remote access.
Real Incident:
Emotet (2019-2021): Banking trojan evolved into ransomware distributor used by TrickBot.
Defense:
Email filtering, application control, user training, network monitoring.
Ransomware
Encrypts files and demands payment for decryption. Modern variants exfiltrate data first (double extortion).
Real Incident:
Colonial Pipeline (2021): DarkSide ransomware forced fuel pipeline shutdown for 6 days.
Defense:
Immutable backups, network segmentation, least privilege, EDR with behavioral blocking.
Spyware
Secretly monitors user activity, capturing keystrokes, screenshots, and credentials.
Real Incident:
Pegasus (NSO Group): Spyware targeting journalists and activists via iOS/Android zero-days.
Defense:
Anti-spyware tools, mobile device management, app permission restrictions.
Rootkits
Hides presence of other malware by modifying OS kernel or boot process. Extremely persistent.
Real Incident:
Stuxnet (2010): Rootkit component hid malicious PLC code from Windows processes.
Defense:
Secure boot, kernel integrity monitoring, memory forensics capabilities.
Malware Analysis Techniques
Effective malware analysis requires multiple approaches. Static analysis reveals initial indicators, while dynamic analysis uncovers runtime behavior.
Static Analysis
Examining file contents without executing: hashes, strings, headers, imports.
Tools:
PEStudio, ExifTool, strings, file, hexdump, IDA Pro
Use Case:
Initial triage, malware family identification, IOCs extraction.
Dynamic Analysis
Observing malware behavior in isolated environment: file changes, registry, network.
Tools:
Cuckoo Sandbox, Any.Run, VirusTotal, ProcMon
Use Case:
Behavioral patterns, C2 communication, payload delivery.
Memory Analysis
Extracting artifacts from RAM: injected code, decrypted payloads, network connections.
Tools:
Volatility, Rekall, Memoryze
Use Case:
Fileless malware, process hollowing, in-memory execution.
Reverse Engineering
Decompiling and disassembling to understand code logic and capabilities.
Tools:
IDA Pro, Ghidra, x64dbg, Radare2
Use Case:
Zero-day exploit discovery, unpacking, TTP identification.
Threat Actor Profiles
Different adversaries have different capabilities, motivations, and targets. Understanding who you're defending against guides security strategy and investment decisions.
Nation-State (APT)
Motivation: Espionage, political influence, strategic advantage
Tactics: Zero-days, supply chain, long-term persistence, custom tools
Case: SolarWinds (2020): Russian SVR compromised 18,000 organizations via Orion update.
Cybercriminals
Motivation: Financial gain, data theft, ransom
Tactics: Ransomware-as-a-Service, phishing kits, exploit kits
Case: Conti ransomware group: Caused $100M+ in damages across 1,500+ victims.
Hacktivists
Motivation: Political messaging, social causes
Tactics: DDoS, data leaks, website defacement
Case: Anonymous operations against government/corporate targets since 2008.
Insider Threats
Motivation: Money, revenge, ideology
Tactics: Abuse privileged access, steal data, sabotage systems
Case: Edward Snowden: Leaked NSA documents exposing global surveillance programs.
Indicators of Compromise (IOCs)
IOCs are forensic artifacts that indicate a system has been compromised. These atomic indicators power detection systems and threat intelligence feeds.
File Hashes
MD5, SHA1, SHA256 of malicious files for exact matching.
IP Addresses
Command and control servers, malicious infrastructure.
Domains
Phishing sites, malware delivery, C2 domains.
Registry Keys
Persistence mechanisms, configuration data.
Email Addresses
Phishing senders, business email compromise accounts.
Filenames
Common malware naming patterns and dropped files.
Key Takeaways
- Malware types differ in propagation, persistence, and impact—choose defenses accordingly.
- Static analysis is safe but limited; dynamic analysis reveals runtime behavior.
- Threat actors range from script kiddies to nation-states—know your adversary.
- IOCs drive detection but are reactive—combine with behavioral analysis.