We aggregate public proof-of-concept (PoC) code from GitHub and the security community, and use a Shenlong Agent (LLM-based) pipeline to generate technical PoC walk-throughs for high-severity CVEs. Public PoCs are free; AI-generated PoCs are a Pro / Pro+ feature. Each entry links back to its source CVE detail page for full context, references, and patches.
| POC ID | Related Vulnerability | Added At |
|---|---|---|
| 121745046 | Apple多款产品 安全漏洞 (CVE-2025-43529) | 2026-02-22 16:52:32 |
| 121745045 | Apple多款产品 安全漏洞 (CVE-2025-43529) | 2026-02-22 16:52:32 |
| 121745044 | Apple多款产品 安全漏洞 (CVE-2025-43529) | 2026-02-22 16:52:32 |
| 121745043 | Apple多款产品 安全漏洞 (CVE-2025-43529) | 2026-02-22 16:52:32 |
| 121745042 | CVE-2025-66478 (CVE-2025-66478) | 2026-02-22 16:52:32 |
| 121745041 | datart 安全漏洞 (CVE-2025-70830) | 2026-02-22 16:52:32 |
| 121745040 | CrushFTP 安全漏洞 (CVE-2025-31161) | 2026-02-22 16:52:32 |
| 121745039 | CrushFTP 安全漏洞 (CVE-2025-31161) | 2026-02-22 16:52:32 |
| 121745038 | Python 安全漏洞 (CVE-2025-4517) | 2026-02-22 16:52:32 |
| 121745037 | Python 安全漏洞 (CVE-2025-4517) | 2026-02-22 16:52:32 |
| 121745035 | Python 安全漏洞 (CVE-2025-4517) | 2026-02-22 16:52:32 |
| 121745034 | Python 安全漏洞 (CVE-2025-4517) | 2026-02-22 16:52:32 |
| 121745033 | Python 安全漏洞 (CVE-2025-4517) | 2026-02-22 16:52:32 |
| 121745032 | Python 安全漏洞 (CVE-2025-4517) | 2026-02-22 16:52:32 |
| 121745031 | Python 安全漏洞 (CVE-2025-4517) | 2026-02-22 16:52:32 |
| 121745030 | Python 安全漏洞 (CVE-2025-4517) | 2026-02-22 16:52:32 |
| 121745029 | Microsoft Windows File Explorer 信息泄露漏洞 (CVE-2025-24071) | 2026-02-22 16:52:32 |
| 121745028 | MongoDB Server 安全漏洞 (CVE-2025-14847) | 2026-02-22 16:52:32 |
| 121745027 | MongoDB Server 安全漏洞 (CVE-2025-14847) | 2026-02-22 16:52:32 |
| 121745026 | MongoDB Server 安全漏洞 (CVE-2025-14847) | 2026-02-22 16:52:32 |
A CVE PoC (Proof of Concept) is code that demonstrates how a specific vulnerability can be exploited. Security researchers use PoCs to verify vulnerabilities and assess their impact.
Shenlong Agent analyzes CVE descriptions and patch diffs via an LLM pipeline, generating structured technical walk-throughs — covering high-severity CVEs within hours of disclosure.
Public PoCs from GitHub are free. AI-generated PoC analyses by Shenlong Agent are a Pro / Pro+ feature.