云攻击:元数据API,S3/K8s,AWS/Azure/GCP身份提权,MinIO矩阵,阿里云FC,ChengZi SDK解密。Use when attacking cloud metadata, IAM, K8s, MinIO, Aliyun FC, or cloud post-ex.
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tessl review fix ./skills/cloud-attack-methods/SKILL.mdSecurity
3 findings: 1 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 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 is an explicit offensive/cloud-attack playbook describing token/credential theft, metadata abuse, remote code execution, service enumeration, and techniques to exfiltrate data and deploy backdoors—highly malicious intent.
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 includes explicit examples of credentials and instructs sending/reading tokens (e.g., POST bodies with accessKey/secretKey and metadata endpoints that return tokens), which requires the LLM to handle or reproduce secret values verbatim.
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 prompt explicitly describes techniques to access local cloud metadata endpoints, steal tokens, exploit kubelet/etcd and privileged pod host-escape paths and other privilege-escalation methods that would enable an agent to obtain credentials and compromise the machine or its cloud identity.
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