🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits significant credential risk due to its attempt to read sensitive system files, along with moderate obfuscation risk. These factors suggest potential malicious intent.

High credential risk due to reading of '/etc/shadow'
Moderate obfuscation risk from dynamic imports

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires network functionality.
Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized system command execution.
Obfuscation: The use of dynamic import with error handling suggests an attempt to hide the origin or purpose of imported modules, which is suspicious.
Credentials: Reading the '/etc/shadow' file indicates an attempt to access sensitive system credentials, which is highly suspicious and likely malicious.
Metadata: The author information is incomplete and the maintainer has limited activity, raising some suspicion but not conclusive evidence of malice.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

try: mod = __import__(mod_name, fromlist=[attr]) except ImportError: continue o

✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

read_file", "args": {"path": "/etc/shadow"}, "id": "call_1", "type": "tool_call"} def test_shape1_s

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: secureagentics.ai>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository secureagentics/Adrian 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 adrian-sdk

Develop a real-time security monitoring tool using the 'adrian-sdk' package. This tool will focus on capturing and classifying paired events in real-time, which are crucial for identifying potential security threats in network traffic. The application should be designed to run as a standalone service that continuously monitors a specified network interface for incoming packets, applying the 'adrian-sdk' for event pairing and classification.

Core Features:
1. Real-Time Packet Capture: Use the 'adrian-sdk' to capture packets in real-time from a designated network interface.
2. Paired Event Detection: Implement logic to identify paired events based on predefined criteria (e.g., specific protocols, data patterns).
3. Classification Engine: Utilize the classification capabilities of 'adrian-sdk' to categorize detected paired events into various threat levels (low, medium, high).
4. Block Mode: Provide an option to automatically block identified high-risk events using the block mode feature of 'adrian-sdk'.
5. User Interface: Develop a simple web-based UI to display real-time alerts and historical threat logs.
6. Configuration Management: Allow users to configure the network interface to monitor and define custom criteria for paired event detection.

Utilization of 'adrian-sdk':
- For packet capture, leverage the 'adrian-sdk' to efficiently gather and process network packets in real-time.
- Apply the SDK's paired-event detection algorithms to find correlated events that could indicate malicious activity.
- Use the built-in classifiers to analyze each event pair and assign a threat level based on the analysis.
- Implement the block mode functionality to prevent further communication from suspicious sources or destinations identified as high risk.
- Integrate the SDK's API into your application's backend to handle all aspects of security monitoring seamlessly.