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Generated Security Logs
Configure settings in the sidebar and click ⚡ Generate Logs Supported attack types: • SSH Brute Force • Port Scan • Firewall Block • Web Attack (SQLi/XSS) • Malware C2 Beacon • Privilege Escalation • Data Exfiltration • Ransomware Activity • Vulnerability Exploit • SIEM Alert Useful for: → Testing SIEM detection rules → SOC analyst training → CTF challenge preparation → Security demo datasets
Training Results
Model trained from scratch · PyTorch · T4 GPU
0.24
Final Loss
started at 4.41
94%
Reduction
from random baseline
5.2M
Parameters
trained end-to-end
~15m
Train Time
single T4 GPU
Loss Curve 4.41 → 0.24
Train + val loss nearly identical — no overfitting. 94% reduction from random baseline.
Attention Weights Layer 0 · 8 heads
Each head learned different log structure patterns. Diagonal = local char attention.
6 transformer layers  ·  8 attention heads  ·  256 embedding dim  ·  character-level tokenizer  ·  same architecture as GPT-2