🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a high risk due to its use of shell=True, which poses significant security risks. However, it lacks obfuscation and credential harvesting activities, reducing the likelihood of malicious intent.

High risk associated with shell=True usage
Low maintainer activity and poor metadata quality

Per-check LLM notes

Network: The network calls seem to be intended for API interactions, which could be legitimate if the package uses external services for functionality.
Shell: Executing arbitrary commands via shell=True is highly risky and can lead to code injection attacks, suggesting potential security vulnerabilities or malicious intent.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
Credentials: No credential harvesting patterns detected, suggesting no immediate threat to secrets or credentials.
Metadata: The package shows signs of low maintainer activity and poor metadata quality, raising concerns but not conclusive evidence of malintent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

e.") session = requests.Session() # The adapter forces TCP to the pinned IP but keeps T
response = requests.post( "https://api.tavily.com/search",
try: async with httpx.AsyncClient() as client: resp = await client.post(settings.
k.integrations") _client = httpx.AsyncClient( limits=httpx.Limits(max_connections=20, max_keepalive_

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

t subprocess subprocess.run(query.strip(), shell=True) continue
on Windows. result = subprocess.run( command, capture_output=True,
subprocess.run(query.strip(), shell=True) continue a

✓ 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 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" 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 aegisdesk

Create a mini-enterprise helpdesk application using the Python package 'aegisdesk'. This application should serve as an interactive command-line interface (CLI) tool designed to assist IT professionals in managing helpdesk tickets, leveraging Retrieval-Augmented Generation (RAG), contextual memory, and automated escalation workflows. The app should enable users to perform the following actions:

1. **Login/Logout**: Allow IT staff to log in and out of the system.
2. **Ticket Management**: Create, view, update, and close helpdesk tickets. Each ticket should include details such as title, description, priority level, and status.
3. **Search Functionality**: Implement a search feature that leverages RAG to find relevant tickets based on keywords or phrases entered by the user.
4. **Memory Feature**: Integrate a memory feature that allows the application to remember past interactions and context related to specific tickets, enhancing user experience and efficiency.
5. **Escalation Workflow**: Design an automatic escalation mechanism that moves unresolved high-priority tickets to higher-level support personnel after a specified period.
6. **Analytics Dashboard**: Provide a basic analytics dashboard that displays key performance indicators (KPIs) such as average resolution time, number of open vs closed tickets, and more.
7. **User Roles**: Implement role-based access control where different types of users (e.g., support agents, managers) have varying levels of permissions within the system.

The 'aegisdesk' package should be utilized throughout the development process to handle the core functionalities mentioned above. Specifically, leverage its capabilities in RAG, memory management, and workflow automation to streamline the ticket management process and enhance the overall user experience. Additionally, ensure that the application is well-documented and includes instructions for setting up and running the CLI tool.