🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some concerning signs, particularly the potential access to system files and the low activity level of the maintainer. However, these alone do not conclusively indicate malicious intent.

Potential credential harvesting from accessing '/etc/passwd'
Single package by maintainer suggesting possible new or less active account

Per-check LLM notes

Network: The presence of network calls is not necessarily suspicious but should be reviewed to ensure they align with the package's intended functionality.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns were detected in the package.
Credentials: The mention of '/etc/passwd' suggests potential access to system files, which may indicate an attempt to harvest credentials.
Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other suspicious activities are detected.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

) try: response = requests.post( url, # ``embed`` flows in as ``dict

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

ypo like ``--from-fixture /etc/passwd`` would otherwise crash deep in classifier code with a

✓ 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 2.0

1 maintainer concern(s) found

Author "Boris Talovikov" 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-discord-audit

Your task is to develop a fully-functional mini-application using the Python package 'aa-discord-audit'. This package facilitates reconciliation audits for Alliance Auth's Discord integration, ensuring that user roles and permissions within Discord are accurately reflected in your application's database. Your application will serve as a robust tool for administrators to manage and audit Discord server configurations efficiently.

**Step 1: Setting Up the Environment**
- Install Python and necessary libraries including 'aa-discord-audit' and any other dependencies like discord.py for interacting with the Discord API.
- Configure your Discord bot with appropriate permissions and token for accessing the server data.

**Step 2: Core Functionality**
- Implement a function to connect to the Discord server via your bot.
- Use 'aa-discord-audit' to fetch and compare the current state of roles and permissions in Discord against the expected state stored in your application's database.
- Display discrepancies between the two states clearly to the administrator.

**Step 3: User Interface**
- Develop a simple command-line interface (CLI) or a basic web interface using Flask or Django where administrators can initiate audits and view results.
- Ensure the UI allows for easy navigation and understanding of the audit outcomes.

**Suggested Features**
- Automatic scheduling of audits at regular intervals.
- Detailed logging of all audit activities and discrepancies.
- Notifications to specified channels or users when significant discrepancies are found.
- Support for multiple Discord servers and corresponding databases.
- Historical tracking of changes over time for each server.

Your goal is to create a reliable and user-friendly tool that significantly simplifies the process of managing and auditing Discord server configurations, leveraging the power of 'aa-discord-audit'.