AI Analysis
Final verdict: SUSPICIOUS
The package exhibits a moderate risk level due to high obfuscation and network risks, suggesting potential malicious intent or hidden functionality. However, lack of clear shell execution and credential harvesting patterns lowers the immediate threat level.
- High obfuscation risk indicating possible attempts to hide malicious activities or protect sensitive data.
- Moderate network risk with connections to external servers and localhost, raising concerns about unexpected behaviors.
Per-check LLM notes
- Network: The package makes network calls to an external server and localhost, which may indicate unexpected behavior or potential C2 communication.
- Shell: No shell execution patterns were detected.
- Obfuscation: The observed pattern suggests an attempt to obfuscate private key handling, which could indicate malicious intent or an effort to protect sensitive information.
- Credentials: No clear credential harvesting patterns were detected, but the presence of private key handling increases suspicion.
- Metadata: The package shows low maintenance and metadata quality indicators which may suggest it could be less trustworthy.
Package Quality Overall: Low (4.4/10)
✦ High
Test Suite
9.0
Test suite present — 8 test file(s) found
Test runner config found: pyproject.toml8 test file(s) detected (e.g. test_client.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (5936 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
135 type-annotated function signatures detected in source
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
Outbound Network Calls
score 6.0
Found 4 network call pattern(s)
= config self.http = httpx.Client( base_url=config.server_url, timeoutort httpx response = httpx.post( "http://localhost:11434/api/chat",gn(nonce)).decode() with httpx.Client(timeout=10) as http: response = http.post(d` (with reason).""" with httpx.Client(timeout=10) as http: response = http.get(
Code Obfuscation
score 2.0
Found 1 obfuscation pattern(s)
PrivateKey.from_private_bytes(base64.b64decode(private_key_b64)) return base64.b64encode(private_key.si
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
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 babeltower-agent
Create a mini-application called 'BabelBridge' that acts as a communication bridge between two different language-speaking users using the BabelTower protocol. This application will utilize the 'babeltower-agent' package to facilitate the translation and transmission of messages between these users in real-time. The application should include the following core features: 1. User Registration: Allow users to register and log in to the application. Users must be able to specify their preferred language during registration. 2. Real-Time Messaging: Implement a real-time messaging system where users can send messages to each other. The messages must be translated into the recipient's preferred language using the BabelTower protocol before being sent. 3. Language Detection: Automatically detect the language of incoming messages if the user has not specified their preferred language. 4. User Interface: Design a simple and intuitive user interface for sending and receiving messages. 5. Security Measures: Ensure that all communications are secure, including encryption of messages and secure storage of user credentials. To achieve these goals, you will need to utilize the 'babeltower-agent' package to handle the translation aspect of your application. Specifically, you will use the package to set up a BabelTower agent that listens for incoming messages, translates them, and then forwards them to the appropriate recipient. Additionally, you will integrate the agent into your application's backend to ensure seamless communication and translation between users.
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