AI Analysis
Final verdict: SUSPICIOUS
The package is deemed suspicious due to high risks associated with network and credential handling, indicating potential unauthorized activities.
- High network risk suggesting unauthorized data retrieval
- High credential risk as it harvests environment variables potentially exposing sensitive information
Per-check LLM notes
- Network: The observed network calls to external services are unusual and may indicate unauthorized data retrieval or exfiltration.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected in the code snippet.
- Credentials: The code appears to be harvesting environment variables for a Discord bot which may include sensitive information like tokens, increasing the risk of credential exposure.
- Metadata: The package shows signs of low maintainer effort and anonymity, raising concerns but not definitive evidence of malice.
Package Quality Overall: Low (3.2/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
7.0
Some documentation present
1 documentation file(s) (e.g. conf.py)Detailed PyPI description (5262 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
141 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 9.0
Found 6 network call pattern(s)
n cookies} response = requests.get( "https://www.sofi.com/wealth/backend/v1/json/acType=INTERNAL" response = requests.get( holdings_url, impersonate="chrome",/{symbol}" response = requests.get( holdings_url, impersonate="chrome",-accounts" response = requests.get( url, impersonate="chrome",BROKERAGE" response = requests.get(url, impersonate="chrome", headers=_build_headers())ade/order" response = requests.post( url, impersonate="chrome",
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
score 10.0
Found 6 credential access pattern(s)
file discord_token = os.getenv("DISCORD_TOKEN") if not discord_token: msg = "DISn(msg) channel_test = os.getenv("DISCORD_CHANNEL") if not channel_test: msg = "DItest) custom_prefix = os.getenv("DISCORD_PREFIX", "!") custom_rsa_command = os.getenv("DISCORcustom_rsa_command = os.getenv("DISCORD_RSA_COMMAND", "rsa") # Initialize discord botload_dotenv() DISCORD_TOKEN = os.getenv("DISCORD_TOKEN", "") DISCORD_CHANNEL = os.getenv("DISCORD_CHANNEL", "TOKEN", "") DISCORD_CHANNEL = os.getenv("DISCORD_CHANNEL", "") DISCORD_MESSAGES_URL = f"https://discord.com/a
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 auto_rsa_bot
Create a financial management mini-app using the 'auto_rsa_bot' package. This app will serve as a personal finance assistant, allowing users to manage their investments and monitor their portfolio performance across various brokerage accounts through both a Discord bot and a command-line interface (CLI). The app should integrate seamlessly with popular brokerage services such as Robinhood, TD Ameritrade, and E*TRADE. ### Key Features: 1. **Account Sync**: Allow users to connect their brokerage accounts via OAuth or API keys. Once connected, the app should automatically sync account data periodically. 2. **Real-Time Alerts**: Users should be able to set up real-time alerts for price changes, volume spikes, or any custom conditions they define. These alerts can be sent via email or directly to the user's Discord channel. 3. **Trade Automation**: Implement basic trade automation features like buying/selling stocks based on predefined rules or market conditions. 4. **Portfolio Analysis**: Provide tools for analyzing portfolio performance over time, including visual charts and reports. 5. **Discord Integration**: Develop a Discord bot that users can interact with to perform actions such as checking account balances, viewing recent trades, and receiving alerts. 6. **User Interface**: Design a simple yet effective CLI for executing commands and managing settings. ### Utilizing 'auto_rsa_bot': - Use the 'auto_rsa_bot' package to handle the core functionalities of syncing accounts, processing trades, and monitoring holdings. Leverage its built-in modules for interacting with brokerages and managing transactions efficiently. - For the Discord integration, utilize the 'auto_rsa_bot' package's messaging capabilities to send notifications and process user commands within Discord channels. - Ensure that all financial data handling adheres to best practices for security and privacy. Your task is to design and implement this mini-app, ensuring it is user-friendly, efficient, and secure. Focus on integrating the 'auto_rsa_bot' package effectively while adding your own flair to enhance the user experience.
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