atlasdocs-indico

v0.9.0 suspicious
6.0
Medium Risk

Indico integration scripts for atlasdocs-theme

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderately high obfuscation risk and moderate metadata concerns, which raises suspicion about its true intentions. While there's no concrete evidence of malicious activity, the obfuscation could be hiding harmful functionalities.

  • High obfuscation risk
  • Moderate metadata risk
Per-check LLM notes
  • Network: The detected network calls are likely legitimate API interactions, but could indicate potential data exfiltration if the API endpoints are not properly secured or used responsibly.
  • Shell: No shell execution patterns detected, indicating low risk for direct system command execution.
  • Obfuscation: The code pattern is suspiciously obfuscated and may be used to hide malicious activities or dependencies.
  • Credentials: No clear signs of credential harvesting observed.
  • Metadata: The package shows some red flags but lacks clear evidence of malicious intent.

📦 Package Quality Overall: Low (3.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 2 test file(s) detected (e.g. test_indico_scripts.py)
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ 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

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

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • ncode(items)}" response = requests.get(url, auth=BearerAuth(api_token), headers=HEADERS) respon
  • ncode(items)}" response = requests.get( full_url, auth=BearerAuth(kwargs["api_token"]), hea
  • " try: response = requests.get(url, auth=BearerAuth(api_token), headers=HEADERS) re
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • patch sys.path.insert(0, str(__import__("pathlib").Path(__file__).resolve().parents[1])) try: import requ
✓ 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: cern.ch>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 8.0

4 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 atlasdocs-indico 
Create a Python-based mini-application that integrates the 'atlasdocs-indico' package to enhance documentation generation and management for a software project. This application will serve as a powerful tool for developers to streamline their workflow by automating the process of integrating Indico's capabilities into their documentation system. Here’s a detailed breakdown of the application’s requirements and functionalities:

1. **Setup Environment**: Begin by setting up a Python virtual environment and installing necessary packages including 'atlasdocs-indico'. Ensure that the Indico API credentials are securely stored.

2. **Core Functionality**: Develop the main functionality where users can upload or link their existing documentation files. The application should then use 'atlasdocs-indico' to automatically integrate Indico’s semantic analysis capabilities, enriching the documentation with metadata, tags, and summaries.

3. **User Interface**: Design a simple yet intuitive command-line interface (CLI) or a basic web interface using Flask or Django. This UI should allow users to easily manage their documentation files, view enriched documents, and perform searches based on the integrated metadata.

4. **Advanced Features**:
   - **Search Functionality**: Implement a search feature that allows users to search through the enriched documentation using keywords, tags, or even natural language queries.
   - **Analytics Dashboard**: Provide a dashboard showing statistics about the usage of different sections of the documentation, such as most viewed pages or frequently searched terms.
   - **Version Control Integration**: Allow integration with version control systems like Git to track changes in documentation over time.

5. **Security Measures**: Ensure that all user data, especially API credentials, are handled securely. Use best practices for securing sensitive information.

6. **Testing and Documentation**: Write comprehensive tests for your application to ensure reliability and functionality. Also, provide detailed documentation on how to set up and use the application.

By utilizing 'atlasdocs-indico', you'll not only streamline the documentation process but also add significant value by leveraging advanced text analysis capabilities provided by Indico.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!