Hunting for living off the cloud techniques
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.
npx -y skills add Mikaru0Mystic/sectinel --skill hunting-for-living-off-the-cloud-techniquesAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Hunt for adversary abuse of legitimate cloud services for C2, data staging, and exfiltration including abuse of Azure, AWS, GCP services, and SaaS platforms.
The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
3.3 KB, 592 tokens by cl100k_base, as published. Nobody here has run it
Hunting For Living Off The Cloud Techniques
When to Use
- When proactively hunting for indicators of hunting for living off the cloud techniques 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 |
|---|---|
| T1102 | Web Service |
| T1567 | Exfiltration Over Web Service |
| T1537 | Transfer Data to Cloud Account |
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: C2 over Discord webhooks for command delivery
- Scenario 2: Data exfiltration to Telegram bot API
- Scenario 3: Malware using Azure Functions for dynamic C2
- Scenario 4: Staging stolen data on Google Docs or Notion pages
Output Format
Hunt ID: TH-HUNTIN-[DATE]-[SEQ]
Technique: T1102
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]
What ships with it: 7 files
29.7 KB alongside SKILL.md, 2 of them executable
assets/
- template.md2.6 KB
references/
- api-reference.md2.1 KB
- standards.md1.5 KB
- workflows.md2.9 KB
scripts/
- agent.pyruns6.0 KB
- process.pyruns3.6 KB
- LICENSE11.0 KB