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Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
60 lines
2.3 KiB
Markdown
60 lines
2.3 KiB
Markdown
---
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name: detecting-aws-iam-privilege-escalation
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description: Detect AWS IAM privilege escalation paths using boto3 and Cloudsplaining policy analysis to identify overly permissive
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policies, dangerous permission combinations, and least-privilege violations
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domain: cybersecurity
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subdomain: cloud-security
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tags:
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- aws
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- iam
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- privilege-escalation
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- cloudsplaining
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- boto3
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- policy-analysis
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- least-privilege
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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nist_csf:
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- PR.IR-01
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- ID.AM-08
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- GV.SC-06
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- DE.CM-01
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---
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# Detecting AWS IAM Privilege Escalation
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## Overview
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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.
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## When to Use
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- When investigating security incidents that require detecting aws iam privilege escalation
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- When building detection rules or threat hunting queries for this domain
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- When SOC analysts need structured procedures for this analysis type
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- When validating security monitoring coverage for related attack techniques
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## Prerequisites
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- Python 3.8+ with boto3 library
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- AWS credentials with IAM read-only access (iam:GetAccountAuthorizationDetails)
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- Optional: cloudsplaining Python package for HTML report generation
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## Steps
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1. **Download IAM Authorization Details** — Call iam:GetAccountAuthorizationDetails to retrieve all users, groups, roles, and policies
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2. **Analyze Policies for Privilege Escalation** — Check each policy for known escalation permission combinations
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3. **Identify Wildcard Resource Policies** — Flag policies using Resource: "*" with dangerous actions
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4. **Map Principal-to-Policy Relationships** — Build a graph of which principals can access which escalation paths
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5. **Score and Prioritize Findings** — Rank findings by severity based on escalation vector type
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6. **Generate Report** — Produce structured JSON report with remediation guidance
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## Expected Output
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- JSON report of privilege escalation findings with severity scores
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- List of dangerous permission combinations per principal
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- Wildcard resource policy audit results
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- Remediation recommendations for each finding
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