🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate network activity that could potentially be used for data exfiltration or command and control activities, despite showing no signs of shell execution, obfuscation, or credential harvesting.

Moderate network risk due to incomplete URLs and headers
Red flags in metadata including missing author name and new/inactive account

Per-check LLM notes

Network: The observed network calls with incomplete URLs and headers might indicate the package is attempting to communicate with external servers, which could be for legitimate purposes but also raises suspicion for potential data exfiltration or C2 activities.
Shell: No shell execution patterns were detected, suggesting minimal risk related to direct command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, suggesting no risk of secret theft.
Metadata: The package shows some red flags such as an author with a missing name and a new or inactive account, but no clear evidence of typosquatting or malicious intent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

quence}.json") response = requests.get( url, timeout=_REQUESTS_TIMEOUT, headers={"User-Agen
equence.json") response = requests.get( url, timeout=_REQUESTS_TIMEOUT, headers={"User-Agen
illmail_id}/") response = requests.get( url, timeout=_REQUESTS_TIMEOUT, headers={"User-Agen

✓ 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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-killtracker

Your task is to develop a fully-functional mini-app that integrates the 'aa-killtracker' package to create a sophisticated killmail tracker for EVE Online players, specifically tailored for Alliance members. This app will serve as a real-time dashboard within a Discord server, allowing members to monitor killmails, losses, and gains of their assets. Here’s a detailed breakdown of the project requirements and steps to achieve them:

1. **Project Setup**: Begin by setting up your development environment. Ensure you have Python installed along with the necessary libraries such as 'discord.py' for interacting with Discord API and 'aa-killtracker' for handling killmail tracking functionalities.
2. **Discord Bot Integration**: Create a Discord bot using 'discord.py'. This bot will act as the interface between the Discord server and the 'aa-killtracker' package. It will listen for specific commands from users and respond accordingly.
3. **Killmail Tracking Functionality**: Utilize the 'aa-killtracker' package to set up real-time tracking of killmails. This involves configuring the package to fetch data from relevant sources, such as zKillboard, and integrating it with your Discord bot.
4. **Real-Time Updates**: Implement a feature that allows for real-time updates of killmails. Whenever a new killmail is detected, the bot should post an update in a designated channel on the Discord server.
5. **Customizable Alerts**: Allow users to customize alerts based on specific criteria, such as types of ships lost, attackers, or regions where the kill occurred. Users should be able to configure these settings through the bot.
6. **User Interface**: Design a user-friendly interface within Discord for managing settings and viewing tracked data. Consider creating a dedicated command prefix (e.g., '!kill') for all related commands.
7. **Security and Privacy**: Ensure that all interactions with the Discord API and 'aa-killtracker' are secure. Use appropriate authentication methods and handle sensitive information carefully.
8. **Testing and Deployment**: Thoroughly test your bot to ensure it functions correctly and efficiently. Once tested, deploy it to a live Discord server and monitor its performance.

By following these steps, you will create a powerful tool that enhances the experience of EVE Online players by providing them with real-time insights into their in-game activities.