GitHub 红队武器库🚨
📦 GitHub 全球红队渗透资源中转站。 旨在收录那些“好用却难找”的安全项目。 🔗 定时推送:GitHub Trending (Security) 🛠 必备清单:后渗透、远控、免杀、提权工具集 📅 更新频率:每日精选,绝不灌水。 ⚠️ 本频道仅供安全研究与授权测试使用。
Show more📈 Analytical overview of Telegram channel GitHub 红队武器库🚨
Channel GitHub 红队武器库🚨 (@githubredteam) in the Chinese language segment is an active participant. Currently, the community unites 13 165 subscribers, ranking 9 581 in the Technologies & Applications category and 15 879 in the China region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 165 subscribers.
According to the latest data from 12 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 247 over the last 30 days and by 14 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.30%. Within the first 24 hours after publication, content typically collects 0.43% reactions from the total number of subscribers.
- Post reach: On average, each post receives 40 views. Within the first day, a publication typically gains 57 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- Thematic interests: Content is focused on key topics such as github, fork, 异性spa, cve-2026, vme.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“📦 GitHub 全球红队渗透资源中转站。
旨在收录那些“好用却难找”的安全项目。
🔗 定时推送:GitHub Trending (Security)
🛠 必备清单:后渗透、远控、免杀、提权工具集
📅 更新频率:每日精选,绝不灌水。
⚠️ 本频道仅供安全研究与授权测试使用。”
Thanks to the high frequency of updates (latest data received on 13 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
Modular security auditing framework implementing concurrent BFS crawling, token-bucket rate limiting, and heuristic-based injection for XSS/SQLi detection.
🔗 点击访问项目地址深度方略 Stratapro — A股多源验证选股决策系统。基于动态权重的AI智能选股评估,集成技术面/基本面/产业渗透率三维评分,支持每日16:00自动推送日报+盘中实时预警,开箱即用。
🔗 点击访问项目地址无描述
🔗 点击访问项目地址A hands-on SSRF (Server-Side Request Forgery) practice lab featuring 4 levels of flags for students to explore and exploit vulnerabilities.
🔗 点击访问项目地址Vanilla NemoClaw installer with local Ollama and router bypass
🔗 点击访问项目地址ST-BME(Bionic Memory Ecology)是一个 SillyTavern 第三方前端扩展。它会把长期聊天中出现的角色、事件、地点、规则、主线、反思和总结抽取成一张可视化记忆图谱,并在下一轮生成前自动召回最相关的记忆注入 prompt。
🔗 点击访问项目地址This project demonstrates a web application security assessment on a User Management System. It identifies vulnerabilities like SQL Injection, XSS, and insecure data storage using OWASP ZAP and manual testing, along with practical recommendations to improve application security and prevent attacks.
🔗 点击访问项目地址permite a un atacante remoto no autenticado leer archivos arbitrarios del sistema afectado mediante una inyección de XML External Entity (XXE)
🔗 点击访问项目地址CVE-2026-46300
🔗 点击访问项目地址设计并实现了一个具备自主迭代检索(retrieve-grade-rewrite-expand)的 TraceAgentic RAG 系统。通过 LangGraph 驱动 Agent 进行多步规划、相关性评估、重写查询与扩展检索,并实时输出 rag_step 进度与完整检索溯源(Trace),有效降低幻觉并提升可解释性。集成 MCP 工具实现文档与结构化数据(Git/MySQL)联合查询,支持文档批量上传与流式响应。相较于传统 RAG,该系统在复杂知识问答场景中展现出显著的自主决策与透明度优势。
🔗 点击访问项目地址C2 server
🔗 点击访问项目地址AI 驱动的红队免杀知识库 — AI-generated red team evasion notes
🔗 点击访问项目地址