AI Analysis
Final verdict: SAFE
The package exhibits low risk indicators with no evidence of malicious activity or shell execution. The network calls appear legitimate and necessary for its intended function.
- Low network risk score
- No shell execution detected
Per-check LLM notes
- Network: The observed network call patterns are likely legitimate for making HTTP requests to an API, possibly for fetching data related to the package's functionality.
- Shell: No shell execution patterns were detected, indicating no immediate risk from shell command execution.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
board calls _zkill_session = requests.Session() _zkill_retries = Retry( total=3, backoff_factor
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
score 3.0
Repository not found (deleted or private)
Repository not found (deleted or private)
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 aa-campaign
Your task is to develop a comprehensive web-based tool using Flask (a Python micro web framework) that integrates with the 'aa-campaign' package to manage and analyze Z-Kill Campaigns data for Alliance Auth, a popular authentication plugin for EVE Online's alliances. This tool will serve as a dashboard for alliance members to create, view, edit, and delete campaigns, as well as track their progress and impact on the game's economy and warfare. The application should include the following core functionalities: 1. User Authentication: Implement a basic user authentication system where only authenticated users can access campaign management features. Utilize Flask-Login for managing user sessions. 2. Campaign Management: Allow users to create new campaigns with details such as campaign name, start date, end date, and objectives. Users should also be able to edit and delete existing campaigns. 3. Data Visualization: Integrate a charting library like Plotly or Matplotlib to visualize key performance indicators (KPIs) of each campaign, such as total losses, total kills, and net worth. 4. Real-time Notifications: Implement real-time notifications for campaign updates and achievements using WebSocket technology. For example, when a significant event occurs in a campaign (e.g., reaching a certain number of kills), notify all users involved in the campaign. 5. Reporting: Provide detailed reports on campaign performance, including summary statistics and historical trends. These reports should be downloadable in PDF format. To achieve these functionalities, you will need to utilize the 'aa-campaign' package effectively. Specifically, you will use it to fetch, manipulate, and store campaign data within your application. Ensure that the integration is seamless and that the package's core features are fully leveraged to provide a robust and dynamic user experience.