Hands-on Cybersecurity Threat Hunting Guide for SOC Analysts and MSSPs

Hands-on Cybersecurity Threat Hunting Guide for SOC Analysts and MSSPs

This comprehensive guide provides SOC analysts and MSSP teams with practical threat hunting techniques using advanced threat intelligence platforms. Modern threat actors continuously develop sophisticated evasion techniques, making traditional detection methods insufficient for comprehensive security operations.

The strategies outlined here leverage behavioral indicators, MITRE ATT&CK framework integration, and advanced query capabilities to identify emerging threats, reduce mean time to response (MTTR), and enhance incident response effectiveness across diverse threat landscapes.

Effective threat hunting begins with understanding sophisticated query syntax that supports over 40 parameters for highly specific and contextualized searches. 

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The basic structure typically includes a parameter, a colon, and a value, often enclosed in quotation marks. Logical operators play a crucial role in constructing effective queries, where the AND operator requires both conditions to be true, the OR operator requires at least one condition to be satisfied, and the NOT operator excludes results that match specific conditions.

Wildcards and special characters enhance query flexibility significantly. The asterisk (*) represents any number of characters, the question mark (?) represents a single character, the caret (^) matches the beginning of a string, and the dollar sign ($) matches the end of a string.

These elements enable analysts to create precise searches across file properties, process activities, network communications, registry operations, and threat classifications.

Using Threat Intelligence Lookup services such as ANY.RUN specializes in a search engine that provides access to a vast malware database, continuously updated by over 500,000 users of the Interactive Sandbox, including 15,000 corporate SOC teams.

The platform’s sophisticated query syntax supports over 40 parameters, enabling highly specific and contextualized searches that can deliver hundreds of relevant analysis sessions, malware samples, or indicators for further research.

The service extends beyond traditional indicators of compromise (IOCs) to include behavioral lookups, MITRE ATT&CK framework integration, file correlation capabilities, and YARA-based threat hunting.

This comprehensive approach allows analysts to search based on various indicators, including IP addresses, file hashes, URLs, domain names, registry modifications, process activities, and network communications.

ANY.RUN’s Threat Intelligence Lookup offers six core functions that enable comprehensive threat hunting and analysis:

  • IOC Lookups facilitate detailed investigations of traditional compromise indicators, including IP addresses, cryptographic hashes (MD5, SHA-1, SHA-256), domain names, and URLs, providing foundational threat identification capabilities.
  • Behavioral Lookups extend beyond static indicators by analyzing system activities such as registry modifications, process executions, network communications, and mutex creations, which proves particularly effective for detecting novel threats lacking established signatures or fileless attacks leveraging living-off-the-land techniques.
  • MITRE Techniques Detection function integrates the ATT&CK framework, enabling structured hunting for specific adversary tactics, techniques, and procedures (TTPs) through parameterized searches that map to documented attack sequences.
  • File/Event Correlation capabilities identify relationships between disparate attack components, revealing comprehensive threat chains by linking artifacts like mutex creations, registry modifications, and network communications across analysis sessions.
  • YARA-based Threat Hunting introduces programmatic detection through binary pattern matching, allowing identification of malware variants sharing core codebases despite obfuscation or version differences without requiring prior indicator knowledge.
  • Wildcards and Logical Operators enable complex query construction through asterisks for multi-character matching, question marks for single-character substitution, and Boolean logic (AND/OR/NOT) with grouping parentheses for precise threat hypothesis testing1. These functions collectively transform raw analysis data into actionable intelligence by combining traditional IOC matching with behavioral analysis and framework-aware detection methodologies.

Geographic Threat Analysis

Country-based threat detection represents a fundamental technique for understanding regional threat landscapes and identifying geopolitically motivated attacks. By utilizing the submissionCountry parameter combined with other indicators, analysts can effectively identify specific attack campaigns targeting particular regions.

For example, targeting phishing attacks from Brazil requires combining geographic and threat classification parameters: submissionCountry:"br" AND threatName:"phishing".

Geographic Threat Analysis
Geographic Threat Analysis

This geographic approach becomes particularly valuable when analyzing sophisticated attacks that leverage legitimate system tools. Identifying malicious submissions from India involving PowerShell commands can be accomplished through: submissionCountry:"in" AND commandLine:"powershell" AND threatLevel:"malicious".

Such queries help security teams understand how attackers adapt their techniques based on regional characteristics and infrastructure.

MITRE ATT&CK Framework Integration

The incorporation of the MITRE ATT&CK framework enables analysts to search for specific tactics, techniques, and procedures used by threat actors, facilitating a more structured approach to threat hunting.

Command and script execution (T1059), one of the most common techniques, can be identified through queries targeting PowerShell usage or HTML Application Host execution: MITRE:"T1059" AND (commandLine:"powershell" OR imagePath:"mshta.exe").

MITRE ATT&CK Framework Integration
MITRE ATT&CK Framework Integration

Registry-based persistence (T1547) represents another critical technique, where malware modifies the Windows Registry to maintain system access. Analysts can identify such activities by searching for modifications to the Run key: MITRE:"T1547" AND registryKey:"CurrentVersion\Run".

Advanced correlation techniques involve combining multiple MITRE techniques to identify sophisticated attack patterns that employ process injection, persistence mechanisms, and system information discovery simultaneously.

Detecting Obfuscated File Behaviors

Malware authors frequently employ obfuscation techniques to hide malicious code and evade analysis. Identifying executables in non-standard directories represents a common evasion technique that can be detected through careful query construction.

By searching for executable files outside standard Windows directories, analysts can identify potentially suspicious activities: fileExtension:"exe" AND NOT filePath:"Windows*" AND NOT filePath:"Program Files*".

Hands-on Cybersecurity Threat Hunting Guide for SOC Analysts and MSSPs
Detecting Obfuscated File Behaviors

Script-based obfuscation presents another challenge, particularly when JavaScript files execute PowerShell commands in multi-stage attacks. The query commandLine:"powershell" and fileExtension:"js" effectively identifies such obfuscation attempts.

This approach helps analysts understand how attackers layer different technologies to achieve their objectives while avoiding detection.

Persistence Mechanisms

Understanding persistence mechanisms and mutex creation patterns provides insights into malware behavior and helps identify specific threat families.

Hands-on Cybersecurity Threat Hunting Guide for SOC Analysts and MSSPs
Persistence Mechanisms

Mutex objects, used by malware to ensure single-instance execution, can be investigated through synchronization object parameters. For instance, searching for the “rmc” mutex reveals connections to the Remcos trojan: syncObjectName:"rmc".

Domain Generation Algorithm Detection

Domain Generation Algorithms (DGAs) represent sophisticated evasion techniques where malware dynamically generates domain names for command and control communication.

Identifying DGA-based malware requires focusing on domain characteristics and communication patterns1. Targeting uncommon top-level domains with active communication can reveal DGA activity: domainName:".top" OR domainName:".xyz" AND (destinationPort:"80" OR destinationPort:"443") AND threatLevel:"malicious".

Domain Generation Algorithm Detection
Domain Generation Algorithm Detection

Modern attackers increasingly abuse legitimate services like Cloudflare Workers for hosting malicious content. Analysts can identify such abuse through targeted searches: domainName:".workers.dev" AND threatLevel:"malicious". This approach has proven effective in identifying hundreds of phishing domains hosted on legitimate infrastructure.

Advanced threat hunting through sophisticated query capabilities enables SOC analysts and MSSP teams to detect, prioritize, and contain threats more effectively.

The integration of geographic analysis, MITRE ATT&CK framework techniques, behavioral pattern recognition, and persistent monitoring creates comprehensive defense strategies.

By leveraging these methodologies, security teams can significantly reduce response times, enhance alert triage with contextual insights, and accelerate threat detection and containment capabilities across diverse threat landscapes.

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