🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risk due to potential obfuscation techniques used for hiding the true nature of the code. While there are no immediate signs of malicious activity, the lack of detailed metadata and author information raises concerns about its origin and intent.

Obfuscation risk of 7/10
Lack of author details and PyPI classifiers

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external API access.
Shell: No shell execution patterns detected, indicating no immediate risk of command injection or unauthorized system access.
Obfuscation: The observed pattern suggests an attempt to dynamically import modules which may indicate obfuscation techniques to hide the true nature of the code.
Credentials: No direct evidence of credential harvesting is found, but further investigation into the package's functionality and usage of sensitive data is recommended.
Metadata: Low risk but lacks author details and PyPI classifiers, indicating potential low effort or new maintainer.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

glob('*.py'): __import__(f'{module}.{path.stem}') self.after_load_module(i, module)

✓ 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: cheese.ren>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository CheeseUnknown/CheeseAPI appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" 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 CheeseAPI

构建一个名为'CheeseShop'的迷你应用程序，该应用使用Python的'CheeseAPI'包。CheeseShop将是一个在线商店，专门销售各种奶酪产品，包括但不限于切达奶酪、布里奶酪、蓝纹奶酪等。此应用程序应利用CheeseAPI的异步功能来优化用户体验和性能。

步骤1：定义CheeseShop的基本结构。首先，设置项目的目录结构，创建必要的文件和文件夹。这包括初始化CheeseAPI框架，并配置数据库连接以存储商品信息、用户数据以及订单详情。

步骤2：实现商品管理功能。允许管理员添加、编辑或删除奶酪产品的信息，如名称、描述、价格和库存量。同时，确保这些操作是异步的，以提高效率。

步骤3：设计用户界面。为用户提供一个简洁直观的界面来浏览奶酪产品。展示每种奶酪的关键信息，并提供筛选和排序选项以便于用户查找他们感兴趣的产品。

步骤4：实现购物车和结账流程。允许用户将产品加入购物车，并在准备购买时通过安全的支付网关完成结账过程。确保整个购物过程流畅且响应迅速。

步骤5：添加用户账户系统。用户应该能够注册、登录并查看他们的订单历史。此外，还应包含密码重置功能。

在整个开发过程中，请充分利用CheeseAPI提供的异步处理能力，例如异步请求处理和异步任务调度，以保证高并发下的良好性能。