Nano-SD

v0.2.3 suspicious
6.0
Medium Risk

Nano-SD 关机小助手 - 基于 nanobot 二次开发，企业微信加班记录与自动关机

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to its use of shell execution and network requests, alongside suspicious metadata. While not conclusive evidence of malicious intent, these factors warrant further investigation.

  • High shell risk
  • Suspicious metadata
Per-check LLM notes
  • Network: The use of an asynchronous HTTP client suggests the package may be designed to make network requests, which is not inherently malicious but should be reviewed for legitimacy.
  • Shell: Executing shell commands can be risky if not properly sanitized or controlled, suggesting potential for misuse or unintended consequences.
  • Obfuscation: The use of base64 and AES for decoding suggests some level of obfuscation, but it could also be a legitimate cryptographic operation.
  • Credentials: No clear evidence of credential harvesting detected.
  • Metadata: Suspicious non-HTTPS link and missing repository raise concerns, but no clear typosquatting or domain flags.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • } return httpx.AsyncClient( headers=merged_headers or None,
  • context( httpx.AsyncClient( headers=cfg.headers or None,
  • transport._client = httpx.AsyncClient( # type: ignore[attr-defined]
  • } async with httpx.AsyncClient(proxy=self.proxy) as client: for attempt in
  • try: async with httpx.AsyncClient(proxy=self.proxy) as client: r = await clie
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • key. """ decoded = base64.b64decode(aes_key_b64) if len(decoded) == 16: return dec
⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

  • Process[str]: return subprocess.run( argv, capture_output=True,
  • try: result = subprocess.run( [resolved, *clean_args],
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: email.com>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://127.0.0.1:8765
⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Package is very new: uploaded 2 day(s) ago
  • Author "Xubin Ren, the nanobot contributors" 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 Nano-SD 
构建一个名为 'Nano-SD' 的小型应用，该应用旨在帮助企业员工在加班后自动关闭计算机。此应用将利用 Python 包 'Nano-SD'，该包基于 nanobot 二次开发，并且能够与企业微信集成，用于记录加班时间和自动化关机过程。

项目功能包括：
1. 实现与企业微信的连接和认证，以便获取用户信息和加班记录。
2. 用户可以在企业微信中选择加班时间，并通过应用将这些信息同步到本地系统。
3. 应用将根据设定的加班结束时间，在指定的时间点自动执行关机操作。
4. 提供一个图形界面或命令行界面，允许用户查看当前的加班状态以及预计的关机时间。
5. 允许用户自定义加班结束时间，以适应不同的工作安排。
6. 记录并保存每次加班和关机事件的日志，以便日后查询和分析。
7. 当检测到加班结束后，发送通知给用户，告知他们即将执行关机操作。
8. 提供一个选项，让用户可以选择是否在加班结束后立即执行关机，或者等待一段时间后再执行。
9. 支持多台计算机的管理，允许用户在一个地方监控和控制所有计算机的加班和关机状态。

使用 'Nano-SD' 包的主要步骤如下：
1. 初始化应用时，调用 'Nano-SD' 的接口来完成与企业微信的连接设置。
2. 使用 'Nano-SD' 提供的功能来获取用户的加班记录。
3. 根据用户设定的加班结束时间，使用 'Nano-SD' 的定时任务功能来安排关机操作。
4. 在用户加班结束后，通过 'Nano-SD' 发送关机前的通知，并根据用户的偏好决定何时执行关机。
5. 定期检查加班记录的变化，并更新本地的应用状态，确保所有信息都是最新的。
6. 将所有的加班和关机事件详细记录下来，利用 'Nano-SD' 的日志记录功能进行存储和检索。

请详细描述如何实现上述功能，并说明如何有效地利用 'Nano-SD' 包来提高应用的性能和用户体验。