Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
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
2026-06-10 06:53:01 +00:00

60 lines
2.3 KiB
Markdown

---
name: detecting-aws-iam-privilege-escalation
description: Detect AWS IAM privilege escalation paths using boto3 and Cloudsplaining policy analysis to identify overly permissive
policies, dangerous permission combinations, and least-privilege violations
domain: cybersecurity
subdomain: cloud-security
tags:
- aws
- iam
- privilege-escalation
- cloudsplaining
- boto3
- policy-analysis
- least-privilege
version: '1.0'
author: mahipal
license: Apache-2.0
nist_csf:
- PR.IR-01
- ID.AM-08
- GV.SC-06
- DE.CM-01
---
# 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.
## When to Use
- When investigating security incidents that require detecting aws iam privilege escalation
- 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 3.8+ with boto3 library
- AWS credentials with IAM read-only access (iam:GetAccountAuthorizationDetails)
- Optional: cloudsplaining Python package for HTML report generation
## Steps
1. **Download IAM Authorization Details** — Call iam:GetAccountAuthorizationDetails to retrieve all users, groups, roles, and policies
2. **Analyze Policies for Privilege Escalation** — Check each policy for known escalation permission combinations
3. **Identify Wildcard Resource Policies** — Flag policies using Resource: "*" with dangerous actions
4. **Map Principal-to-Policy Relationships** — Build a graph of which principals can access which escalation paths
5. **Score and Prioritize Findings** — Rank findings by severity based on escalation vector type
6. **Generate Report** — 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