adrian-sdk

v1.0.2 suspicious
7.0
High Risk

Multi-agent security monitoring SDK for LangChain / LangGraph: paired-event capture, real-time classification, and block mode.

🤖 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.

💬 Discussion Feed

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