Zero Day Discovery

OrganizationPopular

AIPentest

zero-day-discovery

0day自主发现引擎:变体分析/补丁间隙/差分/Fuzzing/污点推理/N-day武器化/猎人思维。Use when public vulns not found and need to discover 0day or weaponize N-day.

Overview

Publisher	AIPentest
Repository	`CyberStrikeAI`
Skill name	`zero-day-discovery`
Stars	6.9K
Forks	1.2K
Bundled files	Instructions only
License	Apache-2.0
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by AIPentest on GitHub. Read the source before you install it.

Installation

Install the Zero Day Discovery 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/AIPentest/CyberStrikeAI.git /tmp/CyberStrikeAI
mkdir -p .claude/skills
cp -r /tmp/CyberStrikeAI/skills/zero-day-discovery .claude/skills/zero-day-discovery

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

Use it in TypingMind

Enable Zero Day Discovery 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 Zero Day Discovery 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 Zero Day Discovery 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.

0day 自主发现引擎（全网搜不到漏洞时自己挖）


核心转变: 从"匹配已知漏洞库"→"理解代码/协议怎么工作,推断它哪里会坏"。0day不是运气,是方法。
五条主路:
  1.变体分析(最高产): 拿一个CVE补丁→提炼漏洞模式→全库grep同模式其它位置→补丁没覆盖的=0day
  2.补丁间隙: 读补丁过滤逻辑,黑名单几乎总能绕(漏了某种编码/等价函数/别名)→新CVE
  3.差分测试: 两组件对同一输入理解不一致(WAF vs 后端/校验器 vs 执行器)→走私/SSRF绕过
  4.Fuzzing: 写harness(包住处理不可信输入的函数)+造语料/字典+崩溃triage(可复现/可控/可利用性)
     AFL++/libFuzzer(覆盖率引导找内存破坏) boofuzz(协议) radamsa(黑盒) restler(REST API)
  5.污点推理(有源码最强): source(参数/Header/反序列化字段)无有效sanitizer到sink(exec/SQL/模板)=0day
     CodeQL写query自动求数据流可达 / Semgrep / Joern
N-day武器化(advisory出了但全网无PoC): 从补丁diff逆向重建exploit(bindiff/diaphora二进制对比,
  厂商regression test常就是PoC雏形)→本地试验场调通→打目标。漏洞窗口期最大化,红队最值钱能力之一。
猎人思维(看任何代码/端点/协议逐层逼问,每个"是"都是0day候选):
  信任边界:假设输入可信吗?什么情况不成立? | 状态时序:两步间状态能改吗(TOCTOU)?能打乱顺序吗?
  解析规范化:解析几次?normalize在校验前还是后? | 边界极值:负数/0/超大/类型混淆/编码/null字节?
  隐含能力:这功能"顺便"给了我什么? | 唯一性:ID/token可预测吗?"秘密"真是秘密吗?
把组件变"假设清单"逐个打破: 文件上传隐含假设"只传图片/扩展名可信/文件名不含路径/内容只是数据"→逐个打破=漏洞,组合=链。
0day验证(比CVE要求更高): 可复现(最小PoC)+根因清楚(哪行/哪个假设)+影响可证(实际读写执行)+排除误报。

Frequently asked questions

What does the Zero Day Discovery AI skill do?

0day自主发现引擎:变体分析/补丁间隙/差分/Fuzzing/污点推理/N-day武器化/猎人思维。Use when public vulns not found and need to discover 0day or weaponize N-day.

Why use Zero Day Discovery on TypingMind?

Because you install it once and use it with any model. Zero Day Discovery 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 Zero Day Discovery in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AIPentest/CyberStrikeAI/tree/main/skills/zero-day-discovery. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Zero Day Discovery?

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 Zero Day Discovery?

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

Is the Zero Day Discovery AI skill free?

Yes. It is published on GitHub by AIPentest under the Apache-2.0 license. 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

0day 自主发现引擎（全网搜不到漏洞时自己挖）

Frequently asked questions

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