Imported from mukul975/anthropic-cybersecurity-skills (
skills/detecting-azure-storage-account-misconfigurations/SKILL.md). Install upstream withnpx skills add mukul975/anthropic-cybersecurity-skills --skill detecting-azure-storage-account-misconfigurations. Copyright stays with the author (Apache-2.0).
Detecting Azure Storage Account Misconfigurations
Overview
Azure Storage accounts are a frequent target for attackers due to misconfigured public access, long-lived SAS tokens, missing encryption, and outdated TLS versions. This skill uses the azure-mgmt-storage Python SDK with StorageManagementClient to enumerate all storage accounts in a subscription, inspect their security properties, list blob containers for public access settings, and generate a risk-scored audit report identifying critical misconfigurations.
When to Use
- When investigating security incidents that require detecting azure storage account misconfigurations
- 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
Prerequisites
- Python 3.9+ with
azure-mgmt-storage,azure-identity - Azure service principal with Reader role on target subscription
- Environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET, AZURE_SUBSCRIPTION_ID
Key Detection Areas
- Public blob access —
allow_blob_public_accessenabled on storage account or individual containers set to Blob/Container access level - HTTPS enforcement —
enable_https_traffic_onlydisabled, allowing unencrypted HTTP traffic - Minimum TLS version — accounts accepting TLS 1.0 or TLS 1.1 instead of minimum TLS 1.2
- Encryption at rest — storage service encryption not enabled or missing customer-managed keys
- Network rules — default action set to Allow instead of Deny, exposing storage to all networks
- SAS token risks — account-level SAS with overly broad permissions or excessive lifetime
Output
JSON report with per-account findings, severity ratings (Critical/High/Medium/Low), and remediation recommendations aligned with CIS Azure Benchmark controls.
