AI Analysis
Final verdict: SUSPICIOUS
The package has low risks in terms of network and shell activities but exhibits signs of low maintainer activity and poor metadata quality, which raises concerns about its trustworthiness.
- Low maintainer activity
- Poor metadata quality
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality.
- Shell: No shell execution detected, which is expected and indicates no immediate signs of malicious activity.
- Metadata: The package shows signs of low maintainer activity and poor metadata quality, raising suspicion but not definitive proof of malice.
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
No author email provided
Suspicious Page Links
score 6.0
Found 3 suspicious link(s) on the package page
Non-HTTPS external link: http://agent-sandbox-e2b-api.agentbox-system.svc.cluster.local`Non-HTTPS external link: http://agent-sandbox-e2b-api.agentbox-system.svc.cluster.localNon-HTTPS external link: http://agent-sandbox-e2b-api.my-namespace.svc.cluster.local
Git Repository History
Repository scitix/agent-sandbox appears legitimate
Maintainer History
score 6.0
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 agent-sandbox-e2b
Create a mini-application called 'SecureCodeRunner' that allows users to execute code snippets in a secure sandbox environment using the 'agent-sandbox-e2b' Python package. This application should provide a user-friendly interface where users can input their code, select the programming language (Python, JavaScript, etc.), and then run the code within a restricted environment. The application should ensure that no harmful actions, such as file system modifications or network operations, can be performed from the sandboxed execution. Additionally, include features like syntax highlighting for better readability, time limits for code execution to prevent infinite loops, and error reporting for debugging purposes. Utilize the 'agent-sandbox-e2b' package to set up and manage the sandbox environments efficiently. The final application should be deployable as a web service or a desktop application.
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