Instructions to use nemanisri/grounded-sigma-compiler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use nemanisri/grounded-sigma-compiler with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("nemanisri/grounded-sigma-compiler") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use nemanisri/grounded-sigma-compiler with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "nemanisri/grounded-sigma-compiler" --prompt "Once upon a time"
| { | |
| "title": "Suspicious PowerShell Encoded Command", | |
| "description": "Detects PowerShell process creation with an encoded-command argument.", | |
| "logsource": { | |
| "product": "windows", | |
| "category": "process_creation" | |
| }, | |
| "detection": { | |
| "selection_image": { | |
| "Image|endswith": [ | |
| "\\powershell.exe", | |
| "\\pwsh.exe" | |
| ] | |
| }, | |
| "selection_flag": { | |
| "CommandLine|contains": [ | |
| " -enc ", | |
| " -EncodedCommand " | |
| ] | |
| }, | |
| "condition": "all of selection_*" | |
| }, | |
| "attack_techniques": [ | |
| "T1059.001" | |
| ], | |
| "false_positives": [ | |
| "Authorized administrative scripts using encoded commands" | |
| ], | |
| "severity": "medium" | |
| } | |