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.
73
90%
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Critical
Do not install without reviewing
Security
4 findings: 2 critical severity, 1 high severity, 1 medium severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
Detected a suspicious URL in the skill instructions that could lead the agent to download and execute malicious scripts or binaries. This includes links to executables from untrusted sources, typosquatting of official packages, URL shorteners that obscure the destination, and personal file hosting services.
These URLs are high-risk because they include AWS instance metadata endpoints, internal API/Gateway SSRF/RCE gadget URLs, and public S3/bucket discovery endpoints which can be abused to exfiltrate credentials or deliver/host malicious payloads.
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
This document contains explicit, actionable instructions for stealing AWS credentials (SSRF/metadata, API calls), backdooring Lambda/containers, establishing persistence, and covering tracks—clear malicious intent if used beyond authorized testing.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The skill contains multiple commands and examples that require embedding AWS access keys, secret keys, session tokens, or CLI flags with secret values verbatim (e.g., --access-key/--secret-key, aws_consoler -a/-s, export AWS_SECRET_ACCESS_KEY), which forces an LLM or operator to handle and output secrets directly, creating a high exfiltration risk.
The skill prompts the agent to compromise the security or integrity of the user’s machine by modifying system-level services or configurations, such as obtaining elevated privileges, altering startup scripts, or changing system-wide settings.
The skill includes explicit sudo commands to create directories and mount attached volumes (e.g., "sudo mkdir /mnt/stolen" and "sudo mount /dev/xvdf1 /mnt/stolen"), which require root privileges and instruct the agent to modify the host machine's filesystem state.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill contains explicit git clone instructions that fetch remote code which the skill then runs or instructs the operator to run (e.g., ./enumerate-iam.py and aws_consoler), specifically: https://github.com/andresriancho/enumerate-iam, https://github.com/NetSPI/aws_consoler, https://github.com/RhinoSecurityLabs/pacu, https://github.com/duo-labs/cloudmapper.git, https://github.com/nccgroup/s3_objects_check, and https://github.com/BishopFox/dufflebag.
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