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Threat Hunting Techniques

Threat hunting is a proactive approach to cybersecurity that involves actively searching for threats that may have evaded traditional security measures.

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Threat Hunting Techniques

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  1. #learntorise THREAT HUNTING TECHNIQUES @infosectrain

  2. #learntorise 1. Behavioral Analysis • Description: This technique involves analyzing the behavior of applications, networks, and users to identify anomalies that could indicate a se curity threat. • Example: Monitoring for unusual data transfers or high volumes of outbound traffic which could in dicate data exfiltration. @infosectrain

  3. #learntorise 2. Endpoint Threat Hunting • Description: Focuses on collecting and analyzing data from endpoints to identify malicious activities. • Example: Searching for signs of malware or malicious scripts running on user devices. @infosectrain

  4. #learntorise 3. Network Traffic Analysis • Description: Involves monitoring, capturing, and analyzing network traffic to identify suspicious patterns. • Example: Identifying patterns of traffic that match known command and control (C2) servers. @infosectrain

  5. #learntorise 4. Log Analysis • Description: Analyzing log files from various sources to identify signs of security incidents or compromises. • Example: Correlating log entries to identify unauthorized login attempts across multiple systems. @infosectrain

  6. #learntorise 5.Threat Intelligence Matching • Description: Comparing observed indicators of compromise (IOCs) against known threat intelligence feeds. • Example: Matching file hashes or IP addresses against threat intelligence databases to identify known malicious entities. @infosectrain

  7. #learntorise 6. User Behavior Analytics (UBA) • Description: Analyzing user behavior to identify activities that deviate from established baselines. • Example: Detecting a user accessing sensiti data at unusual hours, indicating potential in sider threat. @infosectrain

  8. #learntorise 7. Memory Analysis • Description: Examining the memory state of a computer or server to identify signs of malicious activity. • Example: Identifying malicious processes or injected code residing in memory. @infosectrain

  9. #learntorise 8. Deception and Decoy • Description: Deploying honeypots and other deceptive measures to lure and analyze attackers. • Example: Setting up a decoy database to attract and analyze SQL injection attacks. SQL 010010100101001101100111 0010011001010001001100 1100100100100011000100 011001100001111100100110 01001100101000100110011 001001001000110001000 11011001001100101000100 1100110010010010001100 01000110 @infosectrain

  10. #learntorise 9. File Integrity Monitoring • Description: Monitoring critical system and configuration files for unauthorized changes. • Example: Detecting unauthorized modifications to system configuration files indicating compromise. @infosectrain

  11. #learntorise 10. Data Enrichment • Description: Enhancing raw data with additional context or information to improve threat detection. • Example: Adding geolocation data to network logs to identify suspicious access from unusual locations. @infosectrain

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