Detecting AWS IAM Privilege Escalation
Overview
This skill uses boto3 and Cloudsplaining-style analysis to identify IAM privilege escalation paths in AWS accounts. It downloads the account authorization details, analyzes each policy for dangerous permission combinations (iam:PassRole + lambda:CreateFunction, iam:CreatePolicyVersion, sts:AssumeRole), and flags policies that violate least-privilege principles.
Prerequisites
- Python 3.8+ with boto3 library
- AWS credentials with IAM read-only access (iam:GetAccountAuthorizationDetails)
- Optional: cloudsplaining Python package for HTML report generation
Steps
- Download IAM Authorization Details โ Call iam:GetAccountAuthorizationDetails to retrieve all users, groups, roles, and policies
- Analyze Policies for Privilege Escalation โ Check each policy for known escalation permission combinations
- Identify Wildcard Resource Policies โ Flag policies using Resource: "*" with dangerous actions
- Map Principal-to-Policy Relationships โ Build a graph of which principals can access which escalation paths
- Score and Prioritize Findings โ Rank findings by severity based on escalation vector type
- Generate Report โ Produce structured JSON report with remediation guidance
Expected Output
- JSON report of privilege escalation findings with severity scores
- List of dangerous permission combinations per principal
- Wildcard resource policy audit results
- Remediation recommendations for each finding
Verification Criteria
Confirm successful execution by validating:
- [ ] All prerequisite tools and access requirements are satisfied
- [ ] Each workflow step completed without errors
- [ ] Output matches expected format and contains expected data
- [ ] No security warnings or misconfigurations detected
- [ ] Results are documented and evidence is preserved for audit
Compliance Framework Mapping
This skill supports compliance evidence collection across multiple frameworks:
- SOC 2: CC6.1 (Logical Access), CC6.6 (System Boundaries), CC7.1 (Monitoring)
- ISO 27001: A.8.1 (Asset Management), A.13.1 (Network Security), A.14.1 (System Acquisition)
- NIST 800-53: AC-3 (Access Enforcement), SC-7 (Boundary Protection), CM-7 (Least Functionality)
- NIST CSF: PR.AC (Access Control), PR.DS (Data Security), DE.CM (Continuous Monitoring)
Claw GRC Tip: When this skill is executed by a registered agent, compliance evidence is automatically captured and mapped to the relevant controls in your active frameworks.
Deploying This Skill with Claw GRC
Agent Execution
Register this skill with your Claw GRC agent for automated execution:
# Install via CLI
npx claw-grc skills add detecting-aws-iam-privilege-escalation
# Or load dynamically via MCP
grc.load_skill("detecting-aws-iam-privilege-escalation")
Audit Trail Integration
When executed through Claw GRC, every step of this skill generates tamper-evident audit records:
- SHA-256 chain hashing ensures no step can be modified after execution
- Evidence artifacts (configs, scan results, logs) are automatically attached to relevant controls
- Trust score impact โ successful execution increases your agent's trust score
Continuous Compliance
Schedule this skill for recurring execution to maintain continuous compliance posture. Claw GRC monitors for drift and alerts when re-execution is needed.