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 13 152 subscribers, ranking 9 602 in the Technologies & Applications category and 15 960 in the China region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 152 subscribers.
According to the latest data from 10 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 243 over the last 30 days and by 16 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.28%. Within the first 24 hours after publication, content typically collects 0.42% reactions from the total number of subscribers.
- Post reach: On average, each post receives 37 views. Within the first day, a publication typically gains 55 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 11 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.
基于跨域嵌套水印的多级 AIGC 版权溯源系统 —— 融合 Tree-Ring(频域)+ DAAM(语义)+ StegaStamp(像素域)三层水印。通过分阶段执行架构解决依赖冲突,支持完整的水印生成、注入、检测流水线。实现语义感知强度调制(Guided Strength)、BCH+CRC 纠错编码、批量生成与 Streamlit Web 界面。适用于 AI 生成图像的品牌保护、内容验证与用户级溯源。
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🔗 点击访问项目地址基于跨域嵌套水印的多级 AIGC 版权溯源系统 —— 融合 Tree-Ring(频域)+ DAAM(语义)+ StegaStamp(像素域)三层水印。通过分阶段执行架构解决依赖冲突,支持完整的水印生成、注入、检测流水线。实现语义感知强度调制(Guided Strength)、BCH+CRC 纠错编码、批量生成与 Streamlit Web 界面。适用于 AI 生成图像的品牌保护、内容验证与用户级溯源。
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