Individual skill
analyzing-cloud-storage-access-patterns
Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls (GetObject spikes), and potential data exfiltration using statistical baselines and time-series anomaly detection.
internal/tools/skills/data/threat-hunting/analyzing-cloud-storage-access-patterns/SKILL.md
Source commit d42f381ad34843e71a42658e5c57290c713e85af
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- Observed behavior
- Instructions only
- Last checked
- Nov 9, 2026
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- 1,313
- Repository last updated
- Nov 8, 2026
- License
- Apache-2.0
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- analyzing Declared skill tag
- cloud Declared skill tag
- storage Declared skill tag
- access Declared skill tag
- data Derived category
- security Derived category
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## Helper prerequisites
This bundled skill supplies methodology text; it does not install the local helper files invoked below. Before running a command using `agent.py` or a `scripts/` path, create that file from a complete implementation when one is supplied, or obtain and review the matching upstream helper. Check its `--help` and dependencies against the shown arguments. If no implementation is available, the invocation is a workflow illustration rather than a runnable command; use the documented underlying tools instead.
# Analyzing Cloud Storage Access Patterns
## When to Use
- When investigating security incidents that require analyzing cloud storage access patterns
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques