🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits significant obfuscation through the use of eval with encoded strings, raising concerns about potential malicious intent. While there are no clear signs of credential harvesting or shell execution, the network calls made by the package require further scrutiny.

High obfuscation risk due to eval usage
Network calls need further investigation

Per-check LLM notes

Network: The package makes network calls which could be legitimate for API interactions, but further investigation is needed to confirm the purpose and destination of these requests.
Shell: No shell execution patterns were detected.
Obfuscation: The use of eval with an encoded string is highly suspicious and likely indicates an attempt to obfuscate code execution.
Credentials: No clear patterns of credential harvesting were detected.
Metadata: Suspicious due to missing author details and single package on PyPI, but no clear signs of typosquatting or malicious activity.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

: PLC0415 async with httpx.AsyncClient() as client: resp = await client.post(
nic() try: resp = httpx.post( f"{base_url}/chat/completions", hea
None: try: resp = httpx.get(f"{base_url}/dashboard/api/state", timeout=3.0) if r
) async with httpx.AsyncClient(timeout=120.0) as client: upstream_resp = await
try: async with httpx.AsyncClient(timeout=10.0) as client: resp = await client

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

on.''' return str(eval(expression)) @tool(name="search", description="Sear

✓ 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: aceteam.ai>

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://aep-proxy:8899/v1

✓ Git Repository History

Repository aceteam-ai/aceteam-aep appears legitimate

⚠ 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 aceteam-aep

Create a social media moderation bot using the 'aceteam-aep' package. This bot will monitor a Twitter feed for potentially harmful content and use AEP™ to ensure the actions it takes are compliant with ethical guidelines and regulatory standards. The application should include the following features:

1. **Real-time Monitoring**: Implement real-time monitoring of a specified Twitter feed for new tweets.
2. **Content Analysis**: Use natural language processing (NLP) to analyze each tweet for harmful content such as hate speech, harassment, and misinformation.
3. **Compliance Check**: Utilize the 'aceteam-aep' package to check if the flagged content violates any specific compliance policies before taking action.
4. **Actionable Responses**: If a tweet is deemed harmful based on both NLP analysis and compliance checks, the bot should take appropriate actions such as reporting the tweet, blocking the user, or sending a warning message to the user.
5. **Reporting Mechanism**: Maintain a log of all actions taken by the bot, including timestamps, reasons for action, and outcomes.
6. **User Interface**: Develop a simple web-based dashboard where administrators can view logs, adjust settings, and manage the bot's operations.

The 'aceteam-aep' package plays a crucial role in ensuring that the bot's actions are not only effective but also ethically sound and legally compliant. It provides a framework for assessing the trustworthiness and safety of the bot's decisions, making sure they align with established ethical guidelines and legal requirements.