Files
Mahipal 2fb6a9faff Rewrite 548 skill descriptions to the activation rubric
Each rewritten description now states both what the skill does (concrete
capability, named tools/artifacts) and an explicit when-to-use trigger,
improving agent discovery/activation. Grounded in each skill's own body;
changes confined to the `description` field only (bodies and all other
frontmatter untouched). Produced by a gated audit->rewrite->recheck loop
(548 -> 0 flagged) with a sampled anti-invention check (0 ungrounded).

Schema: 817/817 pass. Framework-ID gate: 0 defects.
2026-08-02 09:32:13 -07:00

2.9 KiB

name, description, domain, subdomain, tags, version, author, license, nist_ai_rmf, atlas_techniques, nist_csf, mitre_attack
name description domain subdomain tags version author license nist_ai_rmf atlas_techniques nist_csf mitre_attack
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for public access exposure, weak or long-lived SAS tokens, missing encryption at rest, disabled HTTPS-only traffic, and outdated TLS versions, using the azure-mgmt-storage Python SDK to generate a risk-scored report. Use when assessing an Azure subscription's storage accounts for misconfiguration, building cloud security posture checks, or investigating a suspected data exposure via public blob access. cybersecurity cloud-security
Azure
storage-accounts
blob-storage
ADLS
SAS-tokens
encryption
public-access
cloud-misconfiguration
azure-mgmt-storage
1.0 mahipal Apache-2.0
MEASURE-2.7
MAP-5.1
MANAGE-2.4
AML.T0070
AML.T0066
AML.T0082
PR.IR-01
ID.AM-08
GV.SC-06
DE.CM-01
T1530
T1078.004
T1619
T1580

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are a frequent target for attackers due to misconfigured public access, long-lived SAS tokens, missing encryption, and outdated TLS versions.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

  1. Public blob accessallow_blob_public_access enabled on storage account or individual containers set to Blob/Container access level
  2. HTTPS enforcementenable_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 findings, severity ratings (Critical/High/Medium/Low), and remediation recommendations aligned with CIS Azure Benchmark controls.