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 15 125 subscribers, ranking 8 517 in the Technologies & Applications category and 14 697 in the China region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 15 125 subscribers.
According to the latest data from 13 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 765 over the last 30 days and by 26 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.47%. Within the first 24 hours after publication, content typically collects 0.48% reactions from the total number of subscribers.
- Post reach: On average, each post receives 71 views. Within the first day, a publication typically gains 72 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 fork, github, powered, 六合彩, cve-2026.
📝 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 14 November, 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.
A small vulnerability scanner for projects that get their C/C++ dependencies from vcpkg
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Web App Risk Assessment | 4 Critical/High findings | SQLi 9.8 · XSS 7.3 · Brute Force 7.5 · CSRF 6.5 | CVSS · OWASP · ISO 27001 | Audit-grade report
🔗 点击访问项目地址用户用自然语言描述目标、关注漏洞、资产重要性和扫描约束,系统先用规则或 LangChain 结构化输出转成 Intent,再通过授权、域名白名单、私网和 DNS 策略门。策略通过后调用 Mock 或受控 Nuclei 扫描器。Nuclei、ZAP、Nessus 报告会被归一化成统一 Finding,通过稳定指纹去重,然后结合 CVSS、资产重要性、证据置信度做确定性风险评分。最后从 Chroma 检索修复基线,生成带验证步骤的建议。整个流程有 11 个 LangGraph 节点,每个节点有审计事件。项目提供 Django REST API、Swagger、Web 页面、Docker Compose 和端到端测试。”
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