AI Analysis
Final verdict: SUSPICIOUS
The package shows minimal risks in terms of network, shell, obfuscation, and credential handling, but the incomplete metadata raises concerns about the maintainer's credibility.
- Metadata risk due to missing maintainer's author name and potentially inactive account.
- Otherwise, no significant security issues detected.
Per-check LLM notes
- Network: No network calls detected, which is normal for a library focused on TCP/IP protocol handling without external service dependencies.
- Shell: No shell execution detected, reducing the risk of executing arbitrary commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer's author name is missing and the account seems new or inactive, raising some suspicion but not conclusive evidence 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
Email domain looks legitimate: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository ccie18643/PyTCP appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 PyTCP-net-proto
Create a network protocol analyzer tool using the PyTCP-net-proto package in Python. This tool should be able to capture network packets from a live interface, parse them into their constituent protocols (from Ethernet to TCP/UDP), and display key information about each packet in a user-friendly manner. Here are the steps and features to implement: 1. **Setup**: Install PyTCP-net-proto and any other necessary Python packages. 2. **Capture Interface**: Allow the user to select which network interface to capture packets from. 3. **Packet Capture**: Continuously capture packets from the selected interface. 4. **Parsing**: Use PyTCP-net-proto to parse each captured packet into its Ethernet, IP, and TCP/UDP components. 5. **Display Information**: Display parsed information including source and destination addresses, packet length, protocol type, and any additional relevant details. 6. **Filtering Options**: Implement filtering options based on source/destination IP addresses, ports, and protocols. 7. **Save Packets**: Provide an option to save captured packets to a file for later analysis. 8. **Real-time Visualization**: Optionally, implement real-time visualizations such as graphs showing traffic over time or pie charts representing protocol distribution. The goal is to create a powerful yet easy-to-use tool for anyone interested in analyzing network traffic without needing deep expertise in networking.