🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits high risks associated with network and shell operations, suggesting potential misuse for malicious activities such as data exfiltration or unauthorized command execution.

High network risk due to asynchronous HTTP requests
High shell risk indicating potential for executing unauthorized commands

Per-check LLM notes

Network: Asynchronous HTTP requests with retry loops may indicate data exfiltration or C2 activities.
Shell: Execution of shell commands can be used for various purposes but may also indicate potential for executing unauthorized commands or installing malware.
Obfuscation: The obfuscation pattern is indicative of an attempt to evade detection, likely for executing unauthorized commands.
Credentials: No clear patterns indicating credential harvesting were found.
Metadata: The package shows low maintainer activity and poor metadata quality, which could indicate potential issues.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

tal_synced = 0 async with httpx.AsyncClient(timeout=30.0) as client: while True: try
et_connection async with httpx.AsyncClient(timeout=60.0) as client: while True: try
try: async with httpx.AsyncClient(timeout=120.0) as client: resp = await clien

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

til try: result = __import__("subprocess").run( ["pacman", "-Sl", "blackarch"], capture_ou

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

try: result = subprocess.run( [rtk, "compress"], input=te
lse try: result = subprocess.run( [claude_bin, "-p", "ping", "--output-format", "

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: majdb.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ 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 aegis-pentest

Develop a comprehensive security assessment tool using the Python package 'aegis-pentest'. This tool will serve as a mini-application designed to help users identify potential vulnerabilities in their web applications through automated scanning and manual inspection processes. The application should include the following key features:

1. **Automated Scanning**: Implement a feature that allows users to input a URL or IP address of a web application. The application should then perform automated scans using 'aegis-pentest' to detect common vulnerabilities such as SQL injection, XSS, and CSRF.
2. **Manual Inspection Mode**: Provide an option for advanced users to manually inspect specific parts of a web application for vulnerabilities. This could involve reviewing code snippets, headers, or other critical components.
3. **Report Generation**: After the scan or manual inspection, the tool should generate a detailed report summarizing the findings. This report should include a risk assessment, recommended actions, and any other relevant information.
4. **User Interface**: Develop a simple yet intuitive user interface that makes it easy for both novice and experienced users to navigate and use the tool effectively.
5. **Integration with External Tools**: Allow the tool to integrate with external tools like Burp Suite or OWASP ZAP for more comprehensive testing capabilities.
6. **Customization Options**: Offer customization options where users can tailor the scanning parameters based on their specific needs, such as excluding certain types of scans or focusing on particular aspects of security.

To utilize the 'aegis-pentest' package, you will need to install it via pip and familiarize yourself with its API documentation. The package offers various modules for different types of security assessments which can be leveraged to implement the above features. Ensure that your implementation follows best practices for security and usability.