AI Analysis
Final verdict: SUSPICIOUS
The package is deemed suspicious due to high metadata risk, indicating potential malicious intent. However, the absence of direct exploitation mechanisms like shell execution or obfuscation lowers the immediate threat level.
- High metadata risk due to suspicious git repository activity and maintainer history.
- No evidence of direct exploitation techniques such as shell execution or code obfuscation.
Per-check LLM notes
- Network: The detection of network calls suggests the package interacts with external services, which is common but requires further investigation into the purpose and destinations.
- Shell: No shell execution patterns were detected, indicating a low risk of direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of code obfuscation for malicious purposes.
- Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or credential theft.
- Metadata: The package shows signs of being potentially malicious due to the suspicious git repository activity and maintainer history.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
eout self._session = requests.Session() self._session.headers.update({ "Cont
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: addrly.io>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 7.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forksSingle contributor with only 3 commit(s) — possibly throwaway accountAll 3 commits happened within 24 hours
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 addrly
Create a fully functional mini-app that validates user-submitted email addresses using the 'addrly' Python package. This app will serve as a tool to ensure that email addresses entered into forms or databases are valid before being processed further. Here are the steps and features to include: 1. **Setup and Installation**: Begin by setting up your development environment with Python and installing the 'addrly' package along with any other necessary dependencies. 2. **User Interface**: Develop a simple yet effective user interface where users can input email addresses. This could be a command-line interface (CLI) or a basic web form if you're comfortable with frameworks like Flask or Django. 3. **Email Validation Functionality**: Utilize the 'addrly' package to validate each submitted email address. Ensure that the validation checks include syntax correctness, domain existence, and mailbox existence. 4. **Feedback Mechanism**: Implement a feedback system that informs users whether their email addresses are valid or invalid based on the validation results from the 'addrly' service. For invalid emails, provide specific reasons why they failed the validation. 5. **Logging and Reporting**: Add functionality to log all validation attempts and outcomes for auditing purposes. Optionally, generate reports summarizing the validation statistics over time. 6. **Security Measures**: Since email addresses contain sensitive information, make sure to implement basic security measures such as data encryption when storing logs and ensuring no sensitive data is exposed publicly. 7. **Testing and Documentation**: Thoroughly test the application with various types of email addresses to ensure robustness. Provide clear documentation on how to install, configure, and use the application. This mini-app not only serves as a practical tool but also showcases your ability to integrate third-party APIs and handle user input securely.