actproof-events

v1.6.1 suspicious
7.0
High Risk

Open catalogue, JSON schemas, source-bound act profiles, and CC0 conformance vectors for machine-readable organisational acts.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits significant risks due to shell execution vulnerabilities and moderate network risks, suggesting potential for abuse. The lack of maintainer history and repository activity adds to the suspicion.

  • High shell risk due to unvalidated subprocess.run calls
  • Moderate network risk from urllib usage
Per-check LLM notes
  • Network: The use of urllib for network requests could be legitimate but requires context to ensure it's not being used for unauthorized data exfiltration.
  • Shell: Executing commands via subprocess.run without strict validation or input sanitization poses a high risk for potential misuse or injection attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of being newly created or rarely used, with no maintainer history and minimal repository activity.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • update(headers) request = urllib.request.Request(url, headers=request_headers) with urllib.reques
  • ers=request_headers) with urllib.request.urlopen(request, timeout=timeout) as response: retur
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • F_STRICT"] = "1" result = subprocess.run(cmd, env=env) return result.returncode def main():
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: advisa.tech>

✓ 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 actproof-events 
Develop a mini-application named 'ActProofInspector' that leverages the 'actproof-events' Python package to validate and inspect organizational acts according to their CC0 conformance vectors. The application should allow users to upload JSON files representing organizational acts and then analyze these acts based on the provided JSON schemas from the 'actproof-events' package.

Key Features:
1. User Interface: A simple web-based interface using Flask for uploading JSON files.
2. Validation Engine: Utilize the 'actproof-events' package to validate the uploaded JSON against the available JSON schemas.
3. Conformance Analysis: Display whether the act conforms to the CC0 standard based on the conformance vectors provided by the package.
4. Detailed Report: Provide a detailed report of the validation process including any discrepancies found during the validation.
5. Visualization: Offer a visual summary of the act's conformance status and any issues identified.

Steps to Develop:
1. Set up a Flask web application to serve as the front-end for file uploads.
2. Integrate the 'actproof-events' package into your backend for schema validation and conformance analysis.
3. Implement a function to parse the uploaded JSON files and pass them through the validation engine.
4. Create a reporting module that generates a detailed report of the validation process.
5. Design a visualization component that summarizes the conformance status and highlights any non-conformities.
6. Test the application thoroughly with various JSON files to ensure accuracy and reliability.