| name | analyzing-cloud-storage-access-patterns |
| description | Detect abnormal access patterns in Azure Blob Storage by analyzing Storage Analytics and diagnostic logs. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls (GetBlob spikes), and potential data exfiltration. |
| domain | cybersecurity |
| subdomain | cloud-security |
| tags | ["storage","azure-blob","access-patterns","threat-hunting","cloud-security"] |
| version | 1.0 |
| author | openshield |
| license | Apache-2.0 |
| nist_csf | ["PR.DS-1","PR.DS-2","PR.DS-3","PR.AC-3","DE.CM-1","DE.CM-7","PR.IP-4"] |
Analyzing Cloud Storage Access Patterns — Azure Focused
When to Use
- When investigating potential data exfiltration from Azure Storage Accounts.
- When building KQL hunting queries for Storage account activity.
- When validating if access to sensitive blobs follows established baselines.
- When performing security audits of Storage SAS token usage and public access.
Key Concepts
| Term | Definition |
|---|
| Storage Analytics | Azure feature that provides logs and metrics for storage accounts |
| Diagnostic Settings | Configuration to send storage logs to Log Analytics or Event Hub |
| SAS Token | Shared Access Signature, providing temporary delegated access to storage |
| Data Exfiltration | Unauthorized transfer of data from a storage account to an external system |
OpenShield Storage Rules
| Rule | Description | Severity |
|---|
| AZ-STOR-001 | Public Blob Access Enabled on Storage Account | HIGH |
| AZ-STOR-004 | Storage Account Diagnostic Logging Disabled | MEDIUM |
| AZ-STOR-002 | Storage Account Allows HTTP Traffic | MEDIUM |
| AZ-STOR-003 | Storage Account Has No Lifecycle Management Policy | LOW |
Analysis Workflow
Step 1: Enable and Query Diagnostic Logs
Ensure logs are sent to Log Analytics and use KQL to identify spikes.
// Identify bulk GetBlob operations from a single IP
StorageBlobLogs
| where OperationName == "GetBlob"
| summarize RequestCount = count() by CallerIpAddress, bin(TimeGenerated, 1h)
| where RequestCount > 100
Step 2: Build Access Baselines
Monitor for access from new source IPs or unusual hours.
Step 3: Detect Anomalies
- Spikes: Sudden increase in
GetBlob or ListBlobs calls.
- Geography: Access from IPs in countries where the organization does not operate.
- Success/Failure Ratio: High number of
403 Forbidden errors indicating enumeration.
