anch-hash

v1.0.0 suspicious
4.0
Medium Risk

ANCH — Adaptive Neural Chaotic Hash Framework: experimental hashing combining feature extraction, neural parameter generation, and chaos theory.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious activity, but the unavailability of its repository and the maintainer's single package history raise concerns about potential lack of experience or legitimacy.

  • Repository not found
  • Maintainer has only one package
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository is not found and the maintainer has only one package, which could indicate a less experienced or potentially suspicious actor.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 2 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://anch-framework.vercel.app/docs
  • Detailed PyPI description (7727 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

  • 53 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

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ 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 2.0

1 maintainer concern(s) found

  • Author "ANCH Framework Team" 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 anch-hash 
Develop a Python-based mini-application called 'ChaosHasher' that leverages the 'anch-hash' package to provide users with an advanced hashing utility. This application will allow users to hash input data using adaptive neural chaotic algorithms, offering a unique blend of feature extraction, neural network parameters, and chaos theory principles. The goal is to create a tool that not only hashes data securely but also demonstrates the innovative capabilities of the 'anch-hash' framework.

### Features:
1. **User Input Handling**: Allow users to input strings, files, or directories for hashing.
2. **Hashing Algorithm Selection**: Provide options to select different hashing modes provided by 'anch-hash', such as default, custom neural parameters, or specific chaos theory configurations.
3. **Output Display**: Show the hashed output alongside metadata like hashing time and algorithm details.
4. **File Integrity Check**: Implement a feature to verify the integrity of files by comparing their hashes before and after potential modifications.
5. **GUI Interface**: Develop a simple graphical user interface (GUI) using libraries like Tkinter or PyQt to make the application more accessible.
6. **CLI Support**: Ensure the application also supports command-line interaction for those preferring terminal usage.
7. **Documentation**: Provide comprehensive documentation on how to install, use, and customize the application.

### Utilization of 'anch-hash':
- Use 'anch-hash' to perform the actual hashing operations. Users will be able to specify different settings within the 'anch-hash' framework, such as choosing between predefined or custom neural network configurations, and selecting various chaos theory parameters.
- Incorporate 'anch-hash' into the file integrity check mechanism to ensure accurate and secure hash comparisons.
- Explore the adaptability of 'anch-hash' by allowing users to experiment with different hashing strategies and observe their impact on output and performance.