agdr-mantle

v1.1.5 suspicious
4.0
Medium Risk

AgDR-Mantle: Sovereign post-quantum fortification for AgDR-Phoenix output (ML-DSA-65, Sparse Merkle, Brotli)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some concerning metadata characteristics, including an anonymous author and low repository activity, which raises suspicion about its authenticity and purpose.

  • Anonymous author
  • Low activity in git repository
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 immediate signs of malicious shell command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some red flags such as an anonymous author and low activity in the git repository, but no clear evidence of typosquatting or malicious intent.

🔬 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

Email domain looks legitimate: accountability.ai>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 agdr-mantle 
Develop a secure data transmission tool using the 'agdr-mantle' Python package. This tool will encrypt and decrypt messages using post-quantum cryptographic techniques provided by AgDR-Mantle, specifically leveraging ML-DSA-65, Sparse Merkle Trees, and Brotli compression. The application should include the following features:

1. User-friendly interface for inputting plaintext messages.
2. Option to select between encryption and decryption modes.
3. Upon selecting encryption mode, the tool should use ML-DSA-65 to generate keys, apply Sparse Merkle Trees for integrity verification, and compress the message using Brotli before sending it over an insecure channel.
4. In decryption mode, the tool should decompress the received message, verify its integrity using Sparse Merkle Trees, and then decrypt it using the corresponding private key from ML-DSA-65.
5. Implement error handling to manage issues such as incorrect key usage, corrupted data, or unsupported operations.
6. Provide documentation on how to install and use the tool effectively.
7. Ensure the application is well-documented and includes comments explaining how each part of 'agdr-mantle' is utilized in the process.
8. Test the application thoroughly to ensure that both encryption and decryption processes work correctly under various conditions.

This project aims to demonstrate the practical application of advanced cryptographic techniques in securing data transmission, showcasing the capabilities of the 'agdr-mantle' package.