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mukul975
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- Add validated mitre_attack frontmatter to all 754 skills (286 distinct techniques), verified against MITRE ATT&CK v19.1 via the official mitreattack-python library: 0 revoked, deprecated, or invalid IDs - Curate precise per-skill technique IDs for forensics, malware-analysis, threat-intel, and red-team skills (e.g. DCSync -> T1003.006, Kerberoasting -> T1558.003, Pass-the-Ticket -> T1550.003) - Reconcile v19.1 tactic restructuring: Defense Evasion split into Stealth (TA0005) and Defense Impairment (TA0112); revoked T1562.* family and T1070.001/.002 remapped to active equivalents (T1685.*) - Normalize word-split tags across 35 skills (remove filename-derived stopword tags, add semantic cybersecurity tags) - Add api-reference.md for 3 skills that were missing it - Update README ATT&CK section with accurate v19.1 tactic distribution
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name, description, domain, subdomain, tags, version, author, license, nist_ai_rmf, atlas_techniques, nist_csf, mitre_attack
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| detecting-azure-storage-account-misconfigurations | Audit Azure Blob and ADLS storage accounts for public access exposure, weak or long-lived SAS tokens, missing encryption at rest, disabled HTTPS-only traffic, and outdated TLS versions using the azure-mgmt-storage Python SDK. | cybersecurity | cloud-security |
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1.0 | mahipal | Apache-2.0 |
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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are a frequent target for attackers due to misconfigured public access, long-lived SAS tokens, missing encryption, and outdated TLS versions.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.