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"
File size: 681 Bytes
d428d56 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | {
"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"
}
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