AI Analysis
Final verdict: SAFE
The package shows no signs of malicious behavior based on the analysis notes provided. However, its low activity level and novelty may warrant closer monitoring.
- No network calls detected
- No shell execution patterns
- No obfuscation patterns
- No credential harvesting patterns
- Low activity indicators
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external communication.
- Shell: No shell execution patterns detected, indicating no immediate risk of command injection or system compromise.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting the package does not pose a threat for stealing secrets.
- Metadata: The package is new with low activity indicators which could suggest potential risk.
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: berkeley.edu
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
Only one version has ever been released — brand new packageAuthor "Ethan Ligon" 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 DGP-Protocol
Build a simple Python application using the DGP-Protocol package to demonstrate its core features.