[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-78095":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":24,"hasPages":22,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":33,"readmeContent":34,"aiSummary":35,"trendingCount":15,"starSnapshotCount":15,"syncStatus":36,"lastSyncTime":37,"discoverSource":38},78095,"poc-lab","Unclecheng-li\u002Fpoc-lab","Unclecheng-li","Recent CVE PoC & reproduction scripts. Focused on high-severity vulnerabilities across Linux kernel, Windows, macOS and more.","",null,"C",587,94,9,0,24,106,554,115,99.93,"MIT License",false,"main",true,[26,27,28,29,30,31,32],"c","cybersecurity","linux","poc","python","python3","vulnerability","2026-06-12 04:01:23","# poc-lab\n\n**English** | [中文](.\u002FREADME.zh-CN.md)\n\n> PoC & reproduction scripts for recently disclosed high-severity vulnerabilities.\n\nFocused on **fresh, impactful CVEs** — Linux kernel, Windows, macOS, containers, services, and beyond.\n\n## What's Inside\n\nEach vulnerability directory follows a consistent layout:\n\n| File | Purpose |\n|------|---------|\n| `exploit.py` \u002F `exploit.sh` | PoC script |\n| `README.md` | CVE info, affected versions, reproduction steps, references |\n\n## Directory Structure\n\n```\npoc-lab\u002F\n├── CVE-2026-XXXXX\u002F       # One directory per CVE\n│   ├── exploit\n|   ├── build\n│   └── README.md\n├── VULN-NAME\u002F            # Or by vulnerability name if no CVE assigned\n│   ├── exploit.sh\n│   └── README.md\n└── ...\n```\n\nDirectories are organized by **CVE identifier** (e.g. `CVE-2026-31431\u002F`). When a vulnerability has no assigned CVE, use its public name (e.g. `RedSun\u002F`, `YellowKey\u002F`).\n\nBrowse the repository root to see all available PoCs — the list grows as new vulnerabilities are disclosed and reproduced.\n\n## Quick Start\n\n```bash\n# Clone\ngit clone https:\u002F\u002Fgithub.com\u002FUnclecheng-li\u002Fpoc-lab.git\ncd poc-lab\n\n# Pick a vulnerability directory\ncd \u003CCVE-or-NAME>\n\n# Read the reproduction guide first\ncat README.md\n\n# Run the PoC\npython3 exploit.py   # or: bash exploit.sh\n```\n\n## Contributing\n\nPoC additions are welcome. To add a new vulnerability:\n\n1. Create a directory named after the CVE or vulnerability name\n2. Include the PoC script (`exploit.py` \u002F `exploit.sh`) and a `README.md` with:\n   - CVE identifier & vulnerability name\n   - Affected versions \u002F components\n   - Step-by-step reproduction guide\n   - References (advisory links, patch commits, credits)\n3. Open a Pull Request\n\n## Disclaimer\n\nThis repository is for **security research and educational purposes only**.\n\n- Do NOT use these PoCs against systems you don't own or lack authorization to test.\n- The author assumes no liability for misuse.\n- Always follow responsible disclosure practices.\n\n## Links\n\n- [VulnClaw](https:\u002F\u002Fgithub.com\u002FUnclecheng-li\u002FVulnClaw) — AI-powered penetration testing framework\n\n## License\n\nMIT\n","该项目提供了针对最近披露的高危漏洞的PoC（概念验证）及复现脚本，涵盖了Linux内核、Windows、macOS等多个平台。核心功能包括为每个漏洞提供一致结构的目录，其中包含用于攻击演示的`exploit.py`或`exploit.sh`脚本以及详细的`README.md`文档，后者记录了CVE信息、受影响版本、复现步骤和参考链接等。适合安全研究人员、渗透测试人员及教育工作者在受控环境下研究最新发现的安全漏洞，增进对系统弱点的理解与防护能力。请注意，此项目仅供安全研究和教育使用。",2,"2026-06-11 03:56:25","CREATED_QUERY"]