alpha-id-zix

v0.3.1 suspicious
7.0
High Risk

你的数字灵魂 — 用 ChatGPT 导出认识自己，让所有 AI 工具认识同一个你

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits high levels of obfuscation and potential credential harvesting, along with incomplete metadata and network requests that have not been fully vetted.

  • High obfuscation risk
  • Potential credential harvesting
  • Incomplete metadata
Per-check LLM notes
  • Network: The use of httpx for network requests is common and not inherently suspicious; however, the context of these requests should be reviewed to ensure they are legitimate.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: The code shows signs of obfuscation through unconventional syntax and comments, which may indicate an attempt to hide the true purpose of the code.
  • Credentials: The code attempts to collect passwords and uses base64 and hashing imports, which could be indicative of credential harvesting.
  • Metadata: The missing repository and short author details raise concerns about the legitimacy of the package.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 14 test file(s) found

  • Test runner config found: pyproject.toml
  • 14 test file(s) detected (e.g. test_action_engine.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/your-org/alpha-id#readme
  • Detailed PyPI description (1382 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 356 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • try: async with httpx.AsyncClient(timeout=60.0) as client: async with client.strea
  • httpx _llm_client = httpx.Client(timeout=60.0, limits=httpx.Limits(max_keepalive_connections=
⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • eturn alpha_id key_path = __import__("pathlib").Path.home() / ".aid" / "identity.did" if key_path.exist
  • 获取 Alpha-ID""" key_path = __import__("pathlib").Path.home() / ".aid" / "identity.did" if key_path.exist
✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 5.0

Found 2 credential access pattern(s)

  • # 加密 pwd = password or getpass.getpass("加密密码: ") try: import base64 import hash
  • bytes() pwd = password or getpass.getpass("解密密码: ") try: import base64 import has
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ 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 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 alpha-id-zix 
Create a personalized AI profile manager called 'DigitalSoul' using the Python package 'alpha-id-zix'. This mini-app will allow users to consolidate their interactions with various AI tools into a single, cohesive identity, thereby ensuring consistency and continuity across different platforms. Here’s how you can build it:

1. **User Registration**: Allow users to register and create a unique DigitalSoul profile. During registration, collect basic information such as username, email, and a brief bio.
2. **AI Interaction Logging**: Implement functionality to log user interactions with different AI services (e.g., ChatGPT, DALL-E, etc.). These logs should capture the context of the interaction, the response from the AI, and any feedback provided by the user.
3. **Profile Consolidation**: Utilize the 'alpha-id-zix' package to ensure that all logged interactions contribute to a unified AI profile. This profile should reflect the user’s preferences, interests, and communication style across all AI interactions.
4. **Profile Export and Import**: Enable users to export their consolidated AI profiles to share with other services or import profiles from other sources. This feature should support common data formats like JSON.
5. **Personalized Recommendations**: Based on the consolidated AI profile, generate personalized recommendations for content, services, or even potential questions to ask in future interactions with AI tools.
6. **Privacy Settings**: Provide users with granular control over privacy settings, allowing them to decide which aspects of their profile are shared with specific AI tools or services.
7. **User Interface**: Design a simple yet intuitive web interface for users to manage their DigitalSoul profiles, view interaction logs, and access recommendations.

Utilize the 'alpha-id-zix' package to handle the backend logic for consolidating user interactions into a coherent AI profile. This includes processing logged interactions, updating the user’s consolidated profile, and generating personalized recommendations based on the accumulated data.

💬 Discussion Feed

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