AI Analysis
Final verdict: SUSPICIOUS
The package exhibits metadata risks such as recent repository creation, few commits from a single user, and no maintainer history, which could indicate potential malicious intent. However, the absence of network calls and shell execution reduces immediate threat levels.
- Recent repository creation
- Low number of commits from a single user
- Lack of maintainer history
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communication.
- Shell: No shell execution patterns detected, indicating the package likely does not execute commands with elevated privileges.
- Metadata: The package shows several red flags including a recent repository creation, low number of commits from a single user, and lack of maintainer history.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
score 3.0
Suspicious email domain flags: Very short email domain: qq.com>
Very short email domain: qq.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 7.5
Git history flags: Repository created very recently: 6 day(s) ago (2026-05-30T06:58:59Z)
Repository created very recently: 6 day(s) ago (2026-05-30T06:58:59Z)Single contributor with only 3 commit(s) — possibly throwaway accountAll 3 commits happened within 24 hours
Maintainer History
score 8.0
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with ErisPulse-MyServer
构建一个名为 'RemoteServerMonitor' 的迷你应用程序，该应用利用Python包'ErisPulse-MyServer'的核心功能来实现对远程服务器的全面管理和监控。该应用旨在提供实时数据流、直观的仪表板界面以及安全的WebSocket连接，以帮助管理员轻松查看和控制他们的服务器资源。 步骤1：初始化项目 - 使用Python 3.8或更高版本创建一个新的虚拟环境。 - 安装'ErisPulse-MyServer'包以及其他必要的依赖项。 步骤2：设置服务器连接 - 实现一个函数，用于通过ErisPulse-MyServer建立与远程服务器的安全连接。 - 确保此过程支持身份验证，并且能够处理常见的网络错误。 步骤3：实现WebSocket终端 - 利用ErisPulse-MyServer提供的WebSocket功能，开发一个实时命令行界面，允许用户发送命令到远程服务器并接收实时响应。 - 此功能应具备命令历史记录、自动完成及错误提示等特性。 步骤4：创建Dashboard管理界面 - 设计一个基于Web的Dashboard，展示服务器的关键性能指标（如CPU使用率、内存占用等）。 - Dashboard应支持图表显示、警报通知等功能，以便于用户快速了解服务器状态。 步骤5：集成实时数据流 - 开发一个后台服务，定期从服务器收集性能数据，并通过WebSocket将这些数据推送到前端Dashboard。 - 数据应以结构化格式存储，并能被高效地查询和分析。 建议功能包括但不限于： - 强制性身份验证和授权机制，确保只有经过认证的用户才能访问特定服务器。 - 日志记录系统，用于跟踪所有重要的操作和事件。 - 自定义警报规则，当检测到异常情况时向管理员发送通知。 - 基于角色的访问控制，根据用户的权限级别限制其操作范围。 请详细描述每个组件的设计思路，并解释如何利用'ErisPulse-MyServer'的功能来实现上述目标。