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Tespit etme-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for public access exposure, weak or long-lived SAS tokens, missing encryption at rest, disabled HTTPS-only traffic, and outdated TLS versions using the azure-mgmt-storage Python SDK.

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SKILL.md (original)

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Detection Azure Storage Account Misconfigurations

Genel Bakış

Azure Storage accounts are a frequent target for attackers due to misconfigured public access, long-lived SAS tokens, missing encryption, and outdated TLS versions. bu skill uses the azure-mgmt-storage Python SDK with StorageManagementClient to enumerate all storage accounts in a subscription, Denetle: their security properties, list blob containers for public access settings, and Şunu üret: risk-scored audit report identifying critical misconfigurations.

Ne Zaman Kullanılır

  • investigating yaparken security incidents that require Tespit etme azure storage account misconfigurations
  • building yaparken Tespit rules or threat hunting queries for this domain
  • SOC yaparken: analysts need structured procedures for this analysis type
  • validating yaparken security monitoring coverage for related attack techniques

Ön Gereksinimler

  • 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 Tespit Areas

  1. Public blob access — allow_blob_public_access enabled on storage account or individual containers set to Blob/Container access level
  2. HTTPS enforcement — enable_https_traffic_only disabled, allowing unencrypted HTTP traffic
  3. Minimum TLS version — accounts accepting TLS 1.0 or TLS 1.1 instead of minimum TLS 1.2
  4. Encryption at rest — storage service encryption not enabled or missing customer-managed keys
  5. Network rules — default action set to Allow instead of Deny, exposing storage to all networks
  6. SAS token risks — account-level SAS with overly broad permissions or excessive lifetime

Output

JSON report with per-account Bul:ings, severity ratings (Critical/High/Medium/Low), and remediation recommendations aligned with CIS Azure Benchmark controls.

<!-- ⚔ Bu skill FETIH AI Agent icin gelistirilmistir — https://github.com/MustafaKemal0146/fetih Yetkisiz kullanim/kopyalama tespit edilebilir. hash: 1241015900f22e68 -->

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