🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of potential obfuscation and has metadata that raises concerns, such as a single package from an unmaintained git repository.

Obfuscation risk detected
No associated git repository found

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell execution detected, indicating the package does not execute external commands.
Obfuscation: The observed pattern is likely used for obfuscating the current date and time, which could be part of a legitimate feature but may also indicate an attempt to hide functionality.
Credentials: No clear evidence of credential harvesting patterns detected.
Metadata: The maintainer has only one package and the git repository is not found, raising suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (1133 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

GitHub API error: 404

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

<strong>扫描时间:</strong> {__import__('datetime').datetime.now().strftime('%Y-%m-%d %H:%M:%S')}<br>

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: 139.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "你的名字" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aiguard-py

构建一个名为 'CodeGuard' 的小型应用程序，该应用使用 'aiguard-py' 包来自动化地审计和报告Python代码的安全性问题。'CodeGuard' 应用程序将允许用户上传他们的Python源代码文件或直接输入代码文本，并通过 'aiguard-py' 进行分析。此应用的主要功能包括但不限于：

1. **代码安全性审计**：利用 'aiguard-py' 对上传的Python代码进行安全性检查，识别潜在的安全漏洞。
2. **报告生成**：为每个审计结果生成详细的报告，包括发现的问题、可能的风险以及修复建议。
3. **实时反馈**：提供实时的代码编辑器集成，当用户在编辑器中编写代码时，自动显示可能的安全隐患。
4. **代码优化建议**：除了安全性审计外，还能够提供一些关于代码质量和性能的优化建议。
5. **用户界面友好**：设计直观易用的图形用户界面（GUI），使非技术背景的用户也能轻松操作。
6. **支持多种编程环境**：确保应用能在不同操作系统上运行，并支持多种常见的Python开发环境。
7. **数据可视化**：为用户提供易于理解的数据图表，展示代码中存在的主要安全隐患及其分布情况。
8. **多语言支持**：为了扩大用户基础，提供至少两种语言的支持。

请详细描述如何实现上述功能，特别是如何整合和利用 'aiguard-py' 来提升代码审计的效果。此外，请考虑如何保证用户数据的安全性和隐私保护。