🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risk indicators for common malicious behaviors, but the incomplete metadata and possibly inactive author account raise concerns about potential supply-chain risks.

Incomplete author information
Possibly inactive author account

Per-check LLM notes

Network: No network calls detected, which is normal unless the package is designed to interact with external services.
Shell: No shell execution patterns detected, indicating no direct command execution from the package.
Obfuscation: No obfuscation patterns detected, suggesting legitimate use.
Credentials: No credential harvesting patterns detected, indicating no immediate risk.
Metadata: The author's information is incomplete and the account seems new or inactive, raising some suspicion but not definitive 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 amateja/acmepcap appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 acmepcap

Create a fully-functional mini-application called 'SipLogToPcap' that converts SIP log files into packet captures using the 'acmepcap' Python package. This tool will be particularly useful for network administrators and security analysts who need to analyze SIP traffic captured from logs. Here's a detailed breakdown of what your application should do:

1. **Setup**: Ensure you have Python installed on your system along with the 'acmepcap' package. If not already installed, guide the user through installing it via pip.
2. **User Interface**: Develop a simple command-line interface (CLI) where users can specify the input SIP log file path and the desired output PCAP file name.
3. **Parsing Logic**: Implement logic within the application to read the specified SIP log file line by line. Use the 'acmepcap' package to convert each relevant entry into a packet capture format.
4. **Output Generation**: After processing all entries, generate a single PCAP file containing all the converted packets. Ensure the file is saved in the location specified by the user.
5. **Error Handling**: Add robust error handling to manage issues such as invalid file paths, unsupported log formats, and missing dependencies.
6. **Advanced Features** (Optional):
- **Filtering Options**: Allow users to filter specific types of SIP messages (e.g., INVITE, BYE) during the conversion process.
- **Real-time Conversion**: Implement a feature where the application can monitor a live log stream and continuously update the PCAP file.
- **Visualization**: Integrate a basic visualization tool within the application to display key information about the SIP traffic captured in the log file.
7. **Documentation**: Provide clear documentation explaining how to install and use the application, including any prerequisites and common troubleshooting tips.

Your task is to design and implement this application from scratch, making sure to utilize the core functionalities provided by the 'acmepcap' package effectively.