AI Analysis
The package exhibits moderate risks due to network and metadata concerns, suggesting potential vulnerabilities or malicious intent.
- network risk
- metadata risk
Per-check LLM notes
- Network: The package makes several network calls that could potentially be used to send sensitive user information to an external server.
- Shell: The use of os.system for clearing the terminal is generally benign but can be exploited for executing arbitrary commands under certain conditions.
- Obfuscation: The use of base64 decoding and Fernet for decryption is common in legitimate applications but could also indicate an attempt to hide code or data.
- Credentials: No clear signs of credential harvesting detected, but further investigation into the package's source code and usage of sensitive information is recommended.
- Metadata: The package shows signs of low maintainer activity and effort, raising concerns about its legitimacy and potential risk.
Package Quality Overall: Low (4.4/10)
Test suite present β 1 test file(s) found
Test runner config found: pyproject.toml1 test file(s) detected (e.g. test_ipo.py)
Some documentation present
Detailed PyPI description (9358 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
48 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 409
Heuristic Checks
Found 6 network call pattern(s)
account_details = requests.get(f"{MS_API_BASE}/meroShareView/myDetail/{self.dmat}", headers) bank_req = requests.get(f"{MS_API_BASE}/bankRequest/{bank_code}", headers=headers)k_id: bank_req = requests.get( f"{MS_API_BASE}/meroShare/bank/",bank_specific_req = requests.get(f"{MS_API_BASE}/meroShare/bank/{self.bank_id}", headers=headrecent_applied_req = requests.post( f"{MS_API_BASE}/{endpoint}", jsondetails_req = requests.get( f"{MS_API_BASE}/meroShare/applicantFor
Found 1 obfuscation pattern(s)
encrypted_bytes = base64.b64decode(config.get("data")) decrypted_data = fernet.dec
Found 1 shell execution pattern(s)
terminal screen.""" os.system("cls" if os.name == "nt" else "clear") def help_setup
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forksRepository appears empty (size = 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)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully-functional mini-application named 'IPOManager' that leverages the 'ayush-ipo' Python package to streamline the process of applying for Initial Public Offerings (IPOs) and managing MeroShare accounts for multiple users. This application will serve as a user-friendly interface for investors looking to participate in IPOs efficiently. Hereβs a step-by-step guide on what the application should achieve and how it can be developed: 1. **User Registration**: Implement a feature where users can register for the service. Upon registration, each user should have a unique identifier that links to their MeroShare account. 2. **Login/Logout Mechanism**: Users should be able to log in and out securely. Ensure that sensitive information such as login credentials is stored and handled securely. 3. **Dashboard Overview**: After logging in, users should be directed to a dashboard that provides an overview of their current status, including details of their MeroShare account, ongoing IPOs, and past applications. 4. **IPO Application Process**: Allow users to view upcoming IPOs, select which ones they wish to apply for, and submit their applications directly through the app using the 'ayush-ipo' package functionalities. The application should handle the entire process from start to finish, ensuring all necessary steps are completed accurately. 5. **Account Management**: Provide tools within the app to manage user profiles, update contact information, and modify preferences related to IPO notifications and alerts. 6. **Notifications and Alerts**: Implement a system that sends notifications about new IPOs, application statuses, and other important updates via email or SMS based on user preferences. 7. **Reporting and Analytics**: Integrate reporting capabilities that allow users to track their investment performance over time. Include features like graphical representations of investment growth, success rates of previous applications, etc. 8. **Security and Compliance**: Ensure that all transactions and data handling comply with relevant financial regulations and security standards. Use best practices for securing user data and transactions. To utilize the 'ayush-ipo' package effectively, youβll need to familiarize yourself with its core functionalities, such as connecting to MeroShare accounts, processing IPO applications, and retrieving account details. The application should leverage these features seamlessly to provide a smooth user experience.
π¬ Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue