zero-day-discovery
Skill19 starsChanged 2 months agoApache-2.0View on GitHub
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.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- AIPentest/CyberStrikeAIword for word, first seen Nov 3, 2026
- Ed1s0nZ/CyberStrikeAIword for word, first seen Nov 3, 2026
Other versions2 projects use a version of this.
Word for word · 2
- AIPentest/CyberStrikeAI★ 8.5k100% same
- Ed1s0nZ/CyberStrikeAI★ 8.5k100% same
Edited · 0
None found.
Wrote their own version · 0
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How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository25 other files it gives its agents.
- active-directory-attackSkill
- ai-llm-app-attackSkill
- attack-surface-reconSkill
- binary-mobile-reversingSkill
- blockchain-contract-attackSkill
- capability-primitive-searchSkill
- cloud-attack-methodsSkill
- component-vuln-intelSkill
- cyberstrike-eino-demoSkill
- experience-closeoutSkill
- handoff-persistence-c2Skill
- initial-access-phishingSkill
- local-corpus-cveSkill
- pentest-agent-osSkill
- pentest-blackboardSkill
- pentest-output-standardsSkill
- pentest-verificationSkill
- post-exploitationSkill
- proxy-tool-bootstrapSkill
- redteam-opsecSkill
- source-code-huntingSkill
- specialized-attack-playbooksSkill
- unlimited-attack-scopeSkill
- web-attack-methodsSkill
- wireless-hardware-attackSkill
The file
Files
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。Does it work?
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