🤖 AI Analysis

Final verdict: SAFE

The package appears safe based on the low scores for network and shell risks. The moderate obfuscation risk warrants closer inspection of the code's purpose, but there is no immediate indication of malicious intent.

No network or shell execution detected
Moderate obfuscation risk due to base64 decoding usage

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
Obfuscation: The use of base64 decoding suggests some level of obfuscation, but it could also be legitimate for handling encoded data in cryptographic operations.
Credentials: No clear evidence of credential harvesting is present; however, further analysis may be required to confirm the legitimacy of the code.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

firma_binaria = base64.b64decode(firma_b64) clave_publica.verify(firma_binaria,
e_bytes( base64.b64decode(private_key_b64) ) else:

✓ 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "Tu Nombre" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aegis-sdk-salesforce

Create a Python-based mini-application that integrates with Salesforce using the 'aegis-sdk-salesforce' package. This application will serve as an AI-driven security monitor and policy enforcement tool for Salesforce users and data. Your task is to design and implement a system that can perform the following actions:

1. Authenticate users against their Salesforce credentials.
2. Monitor user activities in real-time and log them securely.
3. Apply predefined security policies to detect and prevent unauthorized access or data breaches.
4. Provide a user-friendly dashboard where administrators can view activity logs and manage security policies.
5. Ensure compliance with enterprise-level security standards by implementing multi-factor authentication and encryption for sensitive data.

Suggested Features:
- Real-time alerting system for suspicious activities.
- Detailed audit trails for all user interactions.
- Customizable security policies based on user roles and permissions.
- Integration with external security systems for additional layers of protection.
- Automated report generation for security audits and compliance checks.

How to Utilize 'aegis-sdk-salesforce':
- Use the SDK to authenticate users and establish secure connections with Salesforce.
- Leverage the package's capabilities to enforce security policies and monitor activities.
- Implement logging mechanisms provided by the SDK to track user actions.
- Customize the application to integrate with your existing security infrastructure.
- Ensure that all data exchanges are encrypted and comply with enterprise security best practices.