abusing-dpapi-for-cred…
Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys)…
Build a systematic threat-hunt workflow that turns threat intelligence and ATT&CK gap analysis into testable hypotheses, then executes and validates them via EDR/SIEM queries (CrowdStrike, Defender, Splunk, Elastic, Sysmon, Velociraptor, Sigma) and documents findings in a
Claude Code
$ npx -y skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-threat-hunt-hypothesis-framework --agent claude-code
Codex
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-threat-hunt-hypothesis-framework -a codex -y
Cursor
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-threat-hunt-hypothesis-framework -a cursor -y
Gemini CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-threat-hunt-hypothesis-framework -a gemini-cli -y
GitHub Copilot
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-threat-hunt-hypothesis-framework -a github-copilot -y
OpenCode
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-threat-hunt-hypothesis-framework -a opencode -y
Windsurf
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-threat-hunt-hypothesis-framework -a windsurf -y
name: building-threat-hunt-hypothesis-framework description: Build a systematic threat-hunt workflow that turns threat intelligence and ATT&CK gap analysis into testable hypotheses, then executes and validates them via EDR/SIEM queries (CrowdStrike, Defender, Splunk, Elastic, Sysmon, Velociraptor, Sigma) and documents findings in a standardized hunt report. Use when planning or running a proactive threat hunt or scoping compromise from an intel- or anomaly-driven lead. 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 mitre_attack: - T1071 - T1059.001 - T1055 - T1547
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]
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
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