Hunts for adversary abuse of legitimate cloud services (Azure, AWS, GCP, and SaaS platforms) for command-and-control, data staging, and exfiltration, i.e. "living off the cloud" tradecraft that blends in with normal cloud API and service activity. Use when threat hunting for cloud-native C2 channels, abnormal use of storage/SaaS services for data staging, or exfiltration hidden in legitimate cloud traffic.
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Use hunting-for-living-off-the-cloud-techniques to hunt for suspected living-off-the-cloud activity related to [threat intelligence or ATT&CK hypothesis] using the available EDR, SIEM, endpoint, and network telemetry; correlate validated findings and deliver a Hunt ID report with evidence, risk, confidence, and recommended response actions.
Required inputs
[threat intelligence or ATT&CK hypothesis]
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SKILL.md
name: hunting-for-living-off-the-cloud-techniquesdescription: Hunts for adversary abuse of legitimate cloud services (Azure, AWS, GCP, and SaaS platforms) for command-and-control, data staging, and exfiltration, i.e. "living off the cloud" tradecraft that blends in with normal cloud API and service activity. Use when threat hunting for cloud-native C2 channels, abnormal use of storage/SaaS services for data staging, or exfiltration hidden in legitimate cloud traffic.domain: cybersecuritysubdomain: threat-huntingtags: - threat-hunting- mitre-attack- cloud-abuse- c2- lotc- saas- proactive-detectionversion: '1.0'author: mahipallicense: Apache-2.0d3fend_techniques: - Application Protocol Command Analysis- Network Isolation- Network Traffic Analysis- Client-server Payload Profiling- Network Traffic Community Deviationnist_csf: - DE.CM-01- DE.AE-02- DE.AE-07- ID.RA-05mitre_attack: - T1046- T1057- T1082- T1083- T1048
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