name: detecting-insider-threat-behaviors description: Detect insider threat behavioral indicators including unusual data access, off-hours activity, mass file downloads, privilege abuse, and resignation-correlated data theft. domain: cybersecurity subdomain: threat-hunting tags:

• threat-hunting
• mitre-attack
• insider-threat
• data-theft
• ueba
• proactive-detection version: '1.0' author: mahipal license: Apache-2.0 d3fend_techniques:
• Restore Access
• Password Authentication
• Biometric Authentication
• Strong Password Policy
• Restore User Account Access nist_csf:
• DE.CM-01
• DE.AE-02
• DE.AE-07
• ID.RA-05

Detecting Insider Threat Behaviors

When to Use

• When proactively hunting for indicators of detecting insider threat behaviors in the environment
• After threat intelligence indicates active campaigns using these techniques
• During incident response to scope compromise related to these techniques
• When EDR or SIEM alerts trigger on related indicators
• During periodic security assessments and purple team exercises

Prerequisites

• EDR platform with process and network telemetry (CrowdStrike, MDE, SentinelOne)
• SIEM with relevant log data ingested (Splunk, Elastic, Sentinel)
• Sysmon deployed with comprehensive configuration
• Windows Security Event Log forwarding enabled
• Threat intelligence feeds for IOC correlation

Workflow

1. Formulate Hypothesis: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.
2. Identify Data Sources: Determine which logs and telemetry are needed to validate or refute the hypothesis.
3. Execute Queries: Run detection queries against SIEM and EDR platforms to collect relevant events.
4. Analyze Results: Examine query results for anomalies, correlating across multiple data sources.
5. Validate Findings: Distinguish true positives from false positives through contextual analysis.
6. Correlate Activity: Link findings to broader attack chains and threat actor TTPs.
7. Document and Report: Record findings, update detection rules, and recommend response actions.

Key Concepts

Tools & Systems

Common Scenarios

1. Scenario 1: Employee downloading bulk files before resignation
2. Scenario 2: IT admin accessing HR data outside job function
3. Scenario 3: Service account used for unauthorized data queries
4. Scenario 4: Contractor copying source code to personal cloud storage

Output Format

Hunt ID: TH-DETECT-[DATE]-[SEQ]
Technique: T1078
Host: [Hostname]
User: [Account context]
Evidence: [Log entries, process trees, network data]
Risk Level: [Critical/High/Medium/Low]
Confidence: [High/Medium/Low]
Recommended Action: [Containment, investigation, monitoring]