使用方法
- 复制安装命令，在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物，并对照来源检查输出。
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill detecting-azure-storage-account-misconfigurations开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况，不等于独立质量或安全测试。
仓库原始内容
按源仓库内容呈现，保留标题、案例、代码、表格、链接以及原文引用的演示图片。
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are a frequent target for attackers due to misconfigured public access, long-lived SAS tokens, missing encryption, and outdated TLS versions.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: AZURECLIENTID, AZURETENANTID, AZURECLIENTSECRET, AZURESUBSCRIPTIONID
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.
