alogram-payrisk

v0.2.23 suspicious
4.0
Medium Risk

The official Alogram Payrisk 'Smart' SDK for Python. Features built-in resiliency, ergonomic risk intelligence, and automated identity management.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal risks associated with network usage, shell execution, and code obfuscation. However, the metadata suggests it may be newly created or less active, raising concerns about its legitimacy.

  • Low risk in network calls, shell execution, and obfuscation.
  • Unclear author identity and potential lack of activity increase suspicion.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate threat related to secret or credential theft.
  • Metadata: The package shows signs of being new or less active with an unclear author identity, which raises some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (5.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://developers.alogram.ai
  • Detailed PyPI description (7133 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 121 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 15 commits in alogram/alogram-python
  • Small but multi-author team (3–4 contributors)

🔬 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: alogram.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 alogram-payrisk 
Develop a mini-application named 'RiskGuardian' using the Python package 'alogram-payrisk'. This application will serve as a financial risk assessment tool for businesses, helping them manage and mitigate risks associated with payment transactions. Here are the key steps and features for building this application:

1. **User Interface Setup**: Create a simple yet intuitive command-line interface (CLI) where users can input transaction details such as amount, sender/receiver information, and other relevant data.
2. **Transaction Risk Assessment**: Utilize 'alogram-payrisk' to automatically assess the risk level of each transaction based on real-time data and historical patterns. The package's built-in resiliency ensures that risk assessments remain accurate even during network disruptions.
3. **Ergonomic Risk Intelligence**: Implement a feature that provides users with actionable insights into why certain transactions are flagged as high-risk, including suggestions on how to proceed safely.
4. **Automated Identity Management**: Leverage 'alogram-payrisk's automated identity management capabilities to verify identities of both senders and receivers in real-time, ensuring that all transactions comply with regulatory requirements.
5. **Reporting and Analytics**: Allow users to generate detailed reports on transaction risk assessments over time, helping them identify trends and make informed decisions about their payment strategies.
6. **Customizable Alerts**: Enable users to set up customizable alerts for high-risk transactions, allowing them to take immediate action when necessary.

By following these steps and utilizing the core features of 'alogram-payrisk', you'll create a robust and user-friendly application that significantly enhances financial security for businesses.