Cloud Aksk Exploit

OrganizationPopular

wgpsec

cloud-aksk-exploit

云凭据(AK/SK)泄露后的完整利用链。当通过信息泄露/.env文件/git泄露/SSRF元数据获取到云平台 Access Key 和 Secret Key 后使用。当获取到 AWS AKIA*/ASIA*、腾讯云 AKIDz*、阿里云 LTAI* 等凭据格式时使用。覆盖凭据配置→权限枚举→资源接管→后门持久化的完整攻击链。与 cloud-iam-audit（侧重策略分析）互补——本 skill 侧重拿到凭据后的实战利用动作。腾讯云比赛场景的 CAM/COS/CVM/SCF 利用是重点。发现任何云 API 密钥、临时凭据、或 STS Token 时都应使用此 skill

Overview

Publisher	wgpsec
Repository	`AboutSecurity`
Skill name	`cloud-aksk-exploit`
Stars	1.7K
Forks	242
Bundled files	2
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by wgpsec on GitHub. Read the source before you install it.

Installation

Install the Cloud Aksk Exploit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/wgpsec/AboutSecurity.git /tmp/AboutSecurity
mkdir -p .claude/skills
cp -r /tmp/AboutSecurity/skills/cloud/cloud-aksk-exploit .claude/skills/cloud-aksk-exploit

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cloud Aksk Exploit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cloud Aksk Exploit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cloud Aksk Exploit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

云凭据 AK/SK 泄露利用方法论

拿到云凭据后的黄金时间窗口通常很短（尤其临时凭据），需要快速高效地完成"枚举→利用→持久化"链条。

按云平台查阅详细命令

识别云平台后，加载对应 reference 获取完整命令：

AWS（AKIA*/ASIA*）→ references/aws-exploit.md
腾讯云（AKIDz*）→ references/tencent-exploit.md

Phase 0: 凭据识别与配置

0.1 凭据格式识别

云平台	格式特征	示例前缀
AWS 长期	20字符 AccessKeyId	`AKIA...`
AWS 临时	20字符 + SessionToken	`ASIA...`
腾讯云	36字符 SecretId	`AKIDz...`
阿里云	~24字符 AccessKeyId	`LTAI...`
华为云	~20字符 AK	`AK...` / `SK...`
GCP	Service Account JSON	`"type": "service_account"`
Azure	ClientId + ClientSecret + TenantId	GUID 格式

0.2 快速配置

AWS:

bash
export AWS_ACCESS_KEY_ID="AKIA..."
export AWS_SECRET_ACCESS_KEY="..."
export AWS_SESSION_TOKEN="..."  # 临时凭据需要
export AWS_DEFAULT_REGION="us-east-1"
aws sts get-caller-identity

腾讯云:

bash
export TENCENTCLOUD_SECRET_ID="AKIDz..."
export TENCENTCLOUD_SECRET_KEY="..."
export TENCENTCLOUD_SESSION_TOKEN="..."  # 临时凭据
export TENCENTCLOUD_REGION="ap-guangzhou"
tccli sts GetCallerIdentity

阿里云:

bash
export ALIBABA_CLOUD_ACCESS_KEY_ID="LTAI..."
export ALIBABA_CLOUD_ACCESS_KEY_SECRET="..."
aliyun sts GetCallerIdentity

Phase 1: 通用攻击流程

配置凭据后，按以下顺序操作（具体命令参见对应云平台 reference）：

权限枚举（前 2 分钟内完成）
- 确认身份（GetCallerIdentity）
- 枚举当前用户/角色附加的策略
- 逐服务快速探测（存储/计算/函数/密钥）
资源接管（按价值排序）
- 存储桶（S3/COS/OSS）→ 列桶、下载敏感文件
- 计算实例（EC2/CVM）→ SSM/重置密码获取 shell
- 云函数（Lambda/SCF）→ 下载代码、读环境变量
- 密钥服务（Secrets Manager/KMS/SSM Parameter Store）
提权
- 创建高权限策略并附加到当前用户
- PassRole + Lambda/SCF 提权
- AssumeRole 跨角色切换
- → 更多提权路径详见 cloud-iam-audit skill
持久化后门
- 创建后门用户 + AK/SK
- 附加管理员策略

临时凭据注意事项

有效期: 通常 15 分钟 ~ 12 小时
SessionToken: 每次 API 调用都必须携带
优先操作: 先创建长期凭据（新 AK/SK 或用户），再慢慢枚举
刷新: 如果来自元数据服务，可能可以重复获取新凭据

决策树


获取到 AK/SK
├── 识别云平台（AKIA=AWS, AKIDz=腾讯, LTAI=阿里）
│   └── 加载对应 reference（aws-exploit.md / tencent-exploit.md）
├── 配置环境变量 + 验证身份
├── 快速权限枚举（2 分钟内）
│   ├── 有 S3/COS 权限 → 列桶 → 下载敏感文件 → 找 flag
│   ├── 有 Lambda/SCF 权限 → 读代码 → 读环境变量
│   ├── 有 EC2/CVM 权限 → 获取 shell
│   ├── 有 IAM/CAM 权限 → 提权 → 管理员
│   └── 有 Secrets 权限 → 读密钥
├── 如果是临时凭据 → 先创建持久化后门
└── 深度利用 → cloud-iam-audit skill

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cloud Aksk Exploit AI skill do?

Why use Cloud Aksk Exploit on TypingMind?

Because you install it once and use it with any model. Cloud Aksk Exploit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cloud Aksk Exploit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wgpsec/AboutSecurity/tree/master/skills/cloud/cloud-aksk-exploit. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cloud Aksk Exploit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cloud Aksk Exploit?

As many as you like. As long as a model supports skills, you can use Cloud Aksk Exploit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cloud Aksk Exploit AI skill free?

It is published on GitHub by wgpsec. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

云凭据 AK/SK 泄露利用方法论

按云平台查阅详细命令

Phase 0: 凭据识别与配置

0.1 凭据格式识别

0.2 快速配置

Phase 1: 通用攻击流程

临时凭据注意事项

决策树

Bundled files

Frequently asked questions

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