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 13 070 subscribers, ranking 9 712 in the Technologies & Applications category and 16 144 in the China region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 070 subscribers.
According to the latest data from 01 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 288 over the last 30 days and by 9 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.23%. Within the first 24 hours after publication, content typically collects 0.34% reactions from the total number of subscribers.
- Post reach: On average, each post receives 30 views. Within the first day, a publication typically gains 44 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 02 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.
Scanner that scans local files for log4shell vulnerability. Does bytecode analysis so it does not rely on metadata. Will find vulnerable log4j even it has been self-compiled/repackaged/shaded/nested (e.g. uberjar, fatjar) and even obfuscated.
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