acquiring-disk-image-w…
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through
Build a systematic threat hunt hypothesis framework that transforms threat intelligence, attack patterns, and
$ npx -y skills add Mikaru0Mystic/sectinel --skill building-threat-hunt-hypothesis-framework --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/building-threat-hunt-hypothesis-frameworkContext preview
The summary Claude sees to decide when to auto-load this skill.
Build a systematic threat hunt hypothesis framework that transforms threat intelligence, attack patterns, and
name: building-threat-hunt-hypothesis-framework description: Build a systematic threat hunt hypothesis framework that transforms threat intelligence, attack patterns, and environmental data into testable hunting hypotheses. domain: cybersecurity subdomain: threat-hunting tags: - threat-hunting - methodology - hypothesis - threat-intelligence - hunting-framework - proactive-detection version: '1.0' author: mahipal license: Apache-2.0 nist_csf: - DE.CM-01 - DE.AE-02 - DE.AE-07 - ID.RA-05
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.
| Concept | Description | |---------|-------------| | TA0001 | Initial Access | | TA0003 | Persistence | | TA0008 | Lateral Movement | | TA0010 | Exfiltration |
| 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 |
1. **Scenario 1**: Intelligence-driven hunt based on APT campaign report 2. **Scenario 2**: ATT&CK coverage gap analysis driving hypothesis creation 3. **Scenario 3**: Anomaly-driven hypothesis from UEBA alert investigation 4. **Scenario 4**: Situational awareness hunt based on industry sector threats
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]
Open-source security arsenal for AI coding agents: 784 cybersecurity skills, scanner integrations, and a security MCP for Claude Code, Cursor, opencode, Gemini CLI, Cline, and any agentskills.io agent. Mapped to OWASP, MITRE ATT&CK, NIST CSF, D3FEND, ATLAS.
Repo: Mikaru0Mystic/sectinel
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass,
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative