🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks due to potential network and shell execution vulnerabilities, with no secure links or associated GitHub repository, indicating possible security issues.

High network risk due to urllib usage
Moderate shell risk from curl command execution

Per-check LLM notes

Network: The use of urllib to make network requests could indicate data being sent to an external server, potentially for unauthorized purposes.
Shell: Executing shell commands via 'curl' suggests the package may be making external calls, which could be used for unintended actions like data exfiltration.
Metadata: The package contains non-secure links and has no associated GitHub repository, raising suspicion.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

, payload: dict[str, Any]) -> urllib.request.Request: body = json.dumps(payload, ensure_ascii=True, s
connector.secret) return urllib.request.Request( connector.url, data=body, h
try: with urllib.request.urlopen(request, timeout=5): return

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

dict[str, Any]: result = subprocess.run( [ "curl", "-sS",
: {photo_path}") result = subprocess.run( [ "curl", "-sS",

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

⚠ Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

Non-HTTPS external link: http://your-8mem-host:8787
Non-HTTPS external link: http://127.0.0.1:8787/chat`

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Package is very new: uploaded 2 day(s) ago
Author "Ashish Verma" 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 8mem

Create a personal knowledge management system using the '8mem' package. This system will allow users to store, retrieve, and manage notes, documents, and other information locally, ensuring privacy and offline access. The application should have the following key features:

1. User Authentication: Implement a simple user authentication system to secure personal data.
2. Note Management: Users should be able to create, edit, delete, and search through their notes.
3. Document Storage: Allow users to upload and manage various types of documents (PDFs, images, etc.).
4. Tagging System: Integrate a tagging feature to categorize notes and documents for easier searching.
5. Offline Sync: Use '8mem' to ensure that all data is stored locally first but also syncs seamlessly when online.
6. Encryption: Ensure that all stored data is encrypted to protect user privacy.
7. Backup and Restore: Provide functionality to backup and restore data from local storage.
8. Integration with AI: Optionally, integrate AI capabilities to suggest tags, summarize notes, or answer questions based on stored content.

The '8mem' package will be utilized to manage the local-first storage of all user data, ensuring that the system operates efficiently even without internet connectivity. Additionally, it will handle the seamless syncing of data across devices once an internet connection is available.