source-code-hunting
Skill19 starsChanged 2 months agoApache-2.0View on GitHub
源码狩猎:.git泄露,危险函数grep,JS RC4解混淆,semgrep/CodeQL,trufflehog,patch diff,供应链/CI。Use when hunting source leaks, secrets, JS deobfuscation, or supply-chain issues.
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
None found.
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
- specialized-attack-playbooksSkill
- unlimited-attack-scopeSkill
- web-attack-methodsSkill
- wireless-hardware-attackSkill
- zero-day-discoverySkill
The file
Files
源码狩猎
=== 源码狩猎 ===
.git泄露: git-dumper → git log -p --all(已删敏感文件) | .svn/.DS_Store/composer.lock
危险函数grep: exec/system/eval/unserialize/pickle.loads/render/curl_exec + 硬编码密钥(sk-/ghp_/BEGIN RSA)
JS混淆破解(RC4+base64字符串数组模式): 1)提取字符串数组(var a0G=[...]) 2)找解码函数(a0m(idx,key)→RC4解密+base64) 3)找rotation IIFE(目标偏移量) 4)Node.js重建解码器批量解码全部字符串→得到明文变量名/API路径/配置
UniApp特征: app-service.js(业务逻辑,常800KB+混淆) + zlsioh.dat(加密配置,native .so解密) + dcloud_uniplugins.json(插件清单)
静态扫描: semgrep --config=auto 快扫 / CodeQL建库写query (taint求解+变体分析方法论见 `zero-day-discovery`)
Secrets深挖: trufflehog/gitleaks 扫git全历史+docker镜像层+npm/PyPI tarball+前端bundle(--only-verified区分死活密钥)
框架Patch Diff: clone前后版本 diff → 修了什么=漏洞在哪 | 依赖链: composer.json/npm audit/pip-audit
供应链/CI: 依赖混淆(内部包名抢注公共registry) | GHA命令注入${{github.event.issue.title}} | self-hosted runner接管 | .npmrc/.pypirc凭据Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

