Model Scanner
Model Scanner
Secure your AI supply chain by identifying malicious code, hidden vulnerabilities, and unsafe agent behavior before deployment.


Attackers can exploit vulnerabilities in your AI supply chain
Significant risks in model training, code, dependencies, and deployment can lead to data leaks and remote code execution.
Deserialization Vulnerabilities (CWE-502)
- Unsafe deserialization detected
- Unsafe pickle opcode detected
- Potential pickle attack pattern
Module Import Vulnerabilities (CWE-506)
- Dangerous module reference detected
- Unsafe module import
- Module reference found in the __reduce__ method
Network Vulnerabilities (CWE-924)
- Suspicious network activity detected
- External network request detected
- URL embedded in pickle file
Code Execution Vulnerabilities (CWE-94)
- Generic code execution vulnerability
- Dynamic code execution detected
- Code object embedded in pickle file
Model-Specific Issues (CWE-506 and CWE-1294)
- Suspicious keys in state dictionary
- Tensor with invalid values (NaN or Inf)
- Tensor with extreme values
- Tensor with suspicious value distribution
File Integrity and Corruption (CWE-1294)
- File corruption detected
- Invalid pickle format
- Pickle load error
File System Vulnerabilities (CWE-22)
- Unauthorized file system access
- File not found (unexpected reference)
Data Exfiltration Vulnerabilities (CWE-200)
- Data exfiltration vulnerability detected
Perform deep inspection across multiple layers
Model Scanner inspects your full stack, from model weights to preprocessing scripts, to surface security issues early.

Model & artifact security
Detect corrupted models, poisoned tensors, and unsafe serialization artifacts that signal hidden threats.
Dependency analysis
Identify dynamic execution risks, unsafe deserialization, and dangerous imports in model-linked code and files.
Integrity checks
Verify artifact integrity across environments with cryptographic and fuzzy hashes to prevent drift.
Framework mapping
Map risks to OWASP, MITRE, CWE, and AI-specific frameworks to support compliance.
Integrate with CI/CD model respositories
NeuralTrust´s model scanner can automatically identify changes in your model across providers

Diagnose your AI systems in minutes
Do not leave vulnerabilites uncovered, make sure your LLMs are secure and reliable
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