LLM Threat Hunt
Semantic search for security logs using LLM and RAG.
Setup
# Start database
docker compose up -d
# Install
python3 -m venv .venv
source .venv/bin/activate
pip install -e .
# Download test data
python scripts/download_mordor.py
Usage
# Ingest logs
hunt ingest data/
# Check status
hunt status
# Reset database (if needed)
hunt reset
Connect to Database
docker exec -it threat-hunt-db psql -U threat -d threat_hunt
Requirements
- Python 3.10+
- Docker
1 maintainer
Metadata
1 maintainer
Release files for llm-hunt 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| llm_hunt-0.1.0.tar.gz | 8.5 kB | Without provenance | Details for llm_hunt-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| llm_hunt-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for llm_hunt-0.1.0-py3-none-any.whl |
Total release size: 18.6 kB
Release files / llm_hunt-0.1.0.tar.gz
| Download URL | llm_hunt-0.1.0.tar.gz |
|---|---|
| Size | 8.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
badc27364868507743b3694ef98786a236dc71a3677e22c38bc6604b84a87ca0
|
|
BLAKE2b-256 checksum How to use checksums |
f53fb837bb1b74bc04e7e31dee614432e67e495c344e5a3d588f999e0d5aa585
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
|
Release files / llm_hunt-0.1.0-py3-none-any.whl
| Download URL | llm_hunt-0.1.0-py3-none-any.whl |
|---|---|
| Size | 10.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a65ffa804bea497f3244cd8142011735ad160f767cae2023805429a3b6c15586
|
|
BLAKE2b-256 checksum How to use checksums |
fe814b611fa406aec080661004a52b3651710c629bcc7387e7ce5a0ed20d1ee0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
|
Security for llm-hunt 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
