---
title: README
emoji: 📊
colorFrom: red
colorTo: yellow
sdk: static
pinned: false
license: mit
short_description: 'Security admission and adversarial test corpus for local AI '
---

## LayerFault Security Corpus

The corpus contains deliberately synthetic, malformed and adversarial model repositories designed to reproduce security conditions that defensive tooling should detect.

Coverage includes:

- unsafe Pickle and serialization
- NumPy object arrays
- Safetensors structural anomalies
- PyTorch and TorchScript packages
- Hugging Face custom loaders and `auto_map`
- tokenizer and template attacks
- hidden and Unicode instructions
- Python, PowerShell, JavaScript and shell capability chains
- executable and native library payloads
- archive and path traversal attacks
- suspicious sidecars
- dependency and package integrity anomalies
- malformed model formats
- provenance and lineage mismatches
- synthetic weight anomalies and backdoor fixtures
- dataset poisoning
- runtime security test cases

The corpus is organised into Hugging Face Collections so individual security domains can be explored and tested independently.