AI Analysis
The package exhibits multiple suspicious behaviors including network calls without clear purpose, execution of shell commands, and obfuscated imports, raising concerns about its legitimacy and potential malicious intent.
- network risk
- shell command execution
- obfuscated imports
Per-check LLM notes
- Network: The use of network calls without clear purpose may indicate unexpected behavior, especially if the package is not known for network operations.
- Shell: Executing shell commands like 'ping' might be for legitimate testing purposes but could also be indicative of more malicious activities if the package does not require such functionality.
- Obfuscation: The use of __import__ within a lambda function suggests an attempt to obfuscate the import mechanism, which is suspicious and likely not a standard practice.
- Credentials: No clear patterns indicative of credential harvesting were found.
- Metadata: The package shows several red flags including a non-existent repository, a single release, and an author with limited activity, indicating potential risk.
Package Quality Overall: Medium (5.2/10)
Test suite present β 7 test file(s) found
Test runner config found: pyproject.toml7 test file(s) detected (e.g. test_cve_checker.py)
Some documentation present
Documentation URL: "Documentation" -> https://github.com/etudiant/netcheck#readmeDetailed PyPI description (6913 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
30 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
Found 3 network call pattern(s)
RT_NONE with socket.create_connection((adresse_ip, port), timeout=delai) as sock: with" } reponse = requests.get(URL_NVD, params=parametres, timeout=15) reponse.raistry: reponse = requests.get(url, timeout=delai, allow_redirects=True, verify=False)
Found 1 obfuscation pattern(s)
lambda name, *args, **kwargs: __import__(name, *args, **kwargs)): pass # On simule le recvfrom
Found 2 shell execution pattern(s)
ichage resultat = subprocess.run( ["ping", "-n", "1", "-w", str(int(delai * 1else: resultat = subprocess.run( ["ping", "-c", "1", "-W", str(int(delai)),
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: example.com>
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
3 maintainer concern(s) found
Only one version has ever been released β brand new packageAuthor name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a comprehensive network security auditing tool using the 'auditnet' Python package. Your task is to develop a command-line interface (CLI) application that allows users to perform various network security audits on their local systems. The application should be designed to simplify complex security checks into understandable reports and actionable insights. Hereβs a step-by-step guide to building this tool: 1. **Setup and Installation**: Begin by setting up a virtual environment and installing the 'auditnet' package. Ensure that your application also installs any dependencies required by 'auditnet'. 2. **Core Functionality**: Implement basic functionalities such as scanning the local network for active devices, checking open ports on these devices, and identifying potential vulnerabilities based on known security databases. 3. **User Interface**: Design a user-friendly CLI that guides users through different audit options. Users should be able to select from a menu of available audit types (e.g., port scan, vulnerability check). 4. **Reporting**: Develop a feature that generates detailed reports after each audit. These reports should include summaries of findings, severity levels, and recommendations for remediation. 5. **Customization Options**: Allow users to customize certain aspects of the audit process, such as specifying IP ranges to scan, excluding certain services from the audit, or setting thresholds for alerting on vulnerabilities. 6. **Integration with 'auditnet'**: Utilize the 'auditnet' package to handle the technical details of network scanning and vulnerability detection. This includes leveraging its functions for scanning, analyzing results, and providing feedback. 7. **Security Best Practices**: Incorporate security best practices into your application design to ensure it does not introduce new risks. For example, ensure that sensitive information is handled securely and that the application does not inadvertently expose system configurations. 8. **Testing and Documentation**: Finally, thoroughly test your application to ensure reliability and accuracy. Document all features, including setup instructions, usage examples, and troubleshooting tips. Your goal is to create a tool that makes network security auditing accessible and effective for users of varying technical expertise.
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