AGENT SKILL

hunting-for-living-off-the-cloud-techniques

Hunt for adversary abuse of legitimate cloud services for C2, data staging, and exfiltration including abuse of Azure, AWS, GCP services, and SaaS platforms.

License 许可
Apache-2.0
最近更新
2026-09-28
Stars
★ 1
Forks
0

01 前言 Front Matter

name
hunting-for-living-off-the-cloud-techniques
tags
[ "threat-hunting", "mitre-attack", "cloud-abuse", "c2", "lotc", "saas", "proactive-detection" ]
author
mahipal
domain
cybersecurity
license
Apache-2.0
version
1.0
category
hunting-for-living-off-the-cloud-techniques
nist_csf
[ "DE.CM-01", "DE.AE-02", "DE.AE-07", "ID.RA-05" ]
subdomain
threat-hunting
description
Hunt for adversary abuse of legitimate cloud services for C2, data staging, and exfiltration including abuse of Azure, AWS, GCP services, and SaaS platforms.
mitre_attack
[ "T1046", "T1057", "T1082", "T1083", "T1048" ]
d3fend_techniques
[ "Application Protocol Command Analysis", "Network Isolation", "Network Traffic Analysis", "Client-server Payload Profiling", "Network Traffic Community Deviation" ]

02 资源文件 7

03 SKILL.md 正文

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

  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.

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

  1. Scenario 1: C2 over Discord webhooks for command delivery
  2. Scenario 2: Data exfiltration to Telegram bot API
  3. Scenario 3: Malware using Azure Functions for dynamic C2
  4. 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]

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