Building Threat Hunt Hypothesis Framework
FreeSystematize your threat hunting with structured hypotheses.
Free · Opens the source repo
What Building Threat Hunt Hypothesis Framework does
The Building Threat Hunt Hypothesis Framework is designed for cybersecurity professionals who need a structured approach to threat hunting. This skill enables users to transform threat intelligence and ATT&CK gap analysis into actionable, testable hypotheses. By following a systematic workflow, security teams can efficiently validate these hypotheses through queries against EDR and SIEM platforms such as CrowdStrike, Microsoft Defender, and Splunk. This approach not only enhances the effectiveness of threat hunts but also ensures findings are documented in a standardized format, facilitating better communication and response planning.
The framework guides users through a series of steps starting from hypothesis formulation based on threat intelligence. It emphasizes the importance of identifying the right data sources and executing queries to gather relevant telemetry. By analyzing the results and validating findings, users can distinguish between true positives and false positives, ultimately correlating their findings with broader attack patterns and tactics, techniques, and procedures (TTPs) of threat actors. This process is crucial for proactive threat detection and incident response.
This skill is particularly useful for security analysts and incident responders who are involved in threat hunting, whether it’s during a proactive hunt or in response to specific alerts. It is also beneficial during security assessments and purple team exercises, where collaboration between offensive and defensive teams is essential. The structured output format helps in maintaining consistency and clarity in reporting, which is vital for ongoing threat intelligence efforts.
Overall, the Building Threat Hunt Hypothesis Framework is a valuable tool for organizations looking to enhance their threat hunting capabilities through a methodical approach that leverages existing threat intelligence and security data.
When to use it
Use this skill when initiating a threat hunt based on threat intelligence or during incident response to scope potential compromises.
When not to use it
It may not be suitable for environments without established EDR or SIEM systems, or where threat intelligence is lacking.
What you can build with it
Intelligence-driven Hunt
Initiate a threat hunt based on recent APT campaign reports to identify potential indicators of compromise.
ATT&CK Gap Analysis
Use the framework to create hypotheses driven by identified gaps in ATT&CK coverage during security assessments.
Anomaly Investigation
Respond to UEBA alerts by formulating and testing hypotheses related to anomalous user behavior.
How to install Building Threat Hunt Hypothesis Framework
View source1. Install with the skills CLI
npx skills add mukul975/anthropic-cybersecurity-skills/building-threat-hunt-hypothesis-framework --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by mukul975Building Threat Hunt Hypothesis Framework
When to Use
- When proactively hunting for indicators of building threat hunt hypothesis framework 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
- Formulate Hypothesis: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.
- Identify Data Sources: Determine which logs and telemetry are needed to validate or refute the hypothesis.
- Execute Queries: Run detection queries against SIEM and EDR platforms to collect relevant events.
- Analyze Results: Examine query results for anomalies, correlating across multiple data sources.
- Validate Findings: Distinguish true positives from false positives through contextual analysis.
- Correlate Activity: Link findings to broader attack chains and threat actor TTPs.
- Document and Report: Record findings, update detection rules, and recommend response actions.
Key Concepts
| Concept | Description |
|---|---|
| TA0001 | Initial Access |
| TA0003 | Persistence |
| TA0008 | Lateral Movement |
| TA0010 | Exfiltration |
Tools & Systems
| Tool | Purpose |
|---|---|
| CrowdStrike Falcon | EDR telemetry and threat detection |
| Microsoft Defender for Endpoint | Advanced hunting with KQL |
| Splunk Enterprise | SIEM log analysis with SPL queries |
| Elastic Security | Detection rules and investigation timeline |
| Sysmon | Detailed Windows event monitoring |
| Velociraptor | Endpoint artifact collection and hunting |
| Sigma Rules | Cross-platform detection rule format |
Common Scenarios
- Scenario 1: Intelligence-driven hunt based on APT campaign report
- Scenario 2: ATT&CK coverage gap analysis driving hypothesis creation
- Scenario 3: Anomaly-driven hypothesis from UEBA alert investigation
- Scenario 4: Situational awareness hunt based on industry sector threats
Output Format
Hunt ID: TH-BUILDI-[DATE]-[SEQ]
Technique: TA0001
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]
Frequently asked questions about Building Threat Hunt Hypothesis Framework
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