01-quantum-resistant-crypto-analyzer

Quantum-Resistant Cryptographic Protocol Analyzer

A fine-tuned Small Language Model (SLM) that analyzes cryptographic protocol implementations and identifies quantum-vulnerable patterns, attack vectors, and NIST-aligned mitigations.

Model Details

Intended Use

• Automated quantum vulnerability scanning of protocol implementations (TLS, SSH, VPN, etc.)
• Security audit assistance for classical-to-PQC migration planning
• Developer education on quantum cryptanalysis risks
• Edge deployment on Victron and other constrained hardware

Training Data

• 10,500+ synthetic cryptographic protocol analyses
• Protocols: TLS/SSL, SSH, IPsec, WireGuard, WPA, S/MIME, OpenPGP, DNSSEC, Kerberos, Bitcoin, Ethereum, gRPC, MQTT, Bluetooth
• Vulnerability types: Shor-vulnerable, Grover-amplified, HNDL, downgrade attacks, weak randomness, deprecated protocols, transition gaps
• Attack vectors: Shor factoring, Shor DLP, Grover search, quantum collision finding, HNDL passive collection, quantum MITM

Evaluation Results

Usage

model_id = "quantumindssi/01_quantum_resistant_crypto_analyzer"
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained(model_id)
tokenizer = AutoTokenizer.from_pretrained(model_id)

prompt = """Analyze the following TLS 1.2 implementation for quantum-vulnerable patterns:
```python
context = ssl.SSLContext(ssl.PROTOCOL_TLS_CLIENT)
context.set_ciphers('RSA-AES256-GCM-SHA384')

Identify the vulnerability type, quantum attack vector, and recommend mitigations."""

inputs = tokenizer(prompt, return_tensors="pt") outputs = model.generate(**inputs, max_new_tokens=512) print(tokenizer.decode(outputs[0], skip_special_tokens=True))

## Limitations

- Not a substitute for certified security consultants or formal verification
- Synthetic training data may not capture all real-world edge cases
- English only
- Analysis is heuristic; false positives/negatives are possible

## Hardware Requirements

| Target | RAM | Notes |
|--------|-----|-------|
| Cloud GPU | 4GB | FP16 inference |
| Workstation | 3GB | INT8 quantized |
| Victron Edge | 2-3GB | INT8/INT4 quantized, CPU |

## Citation

```bibtex
@misc{01_quantum_resistant_crypto_analyzer,
  title={Quantum-Resistant Cryptographic Protocol Analyzer},
  author={QuantumIndSSI Ltd},
  year={2026},
  publisher={Hugging Face},
  howpublished={\url{https://huggingface.co/quantumindssi/01_quantum_resistant_crypto_analyzer}}
}

Contact

• GitHub: https://github.com/QuantumindSSI
• HuggingFace: https://huggingface.co/quantumindssi
• Email: [email protected]