$ show LOLBAS-Project/LOLBAS
The LOLBAS project is a curated dataset of Windows binaries, scripts, and libraries that can be abused for malicious purposes (Living Off The Land Binaries and Scripts). Each entry is documented in YAML files with a standardized schema, including technical details, use cases, MITRE ATT&CK mappings, detection artifacts, and external references. The repository serves as a threat intelligence resource for offensive security research and defensive security operations, enabling threat hunting and detection rule development. Data is organized by file type (binaries, libraries, scripts) and maintained through community contributions with automated validation via Pydantic schemas.
The LLM identified 3 files worth highlighting for reuse:
Validates YAML entries against a Pydantic schema, ensuring structural consistency and required fields. Demonstrates reusable data validation patterns applicable to any YAML-based knowledge base.
Example LOLBAS entry showing standardized structure: command examples, use cases, MITRE mappings (T1112), detection artifacts, and external references. Represents the reusable data model for all entries.
Defines standardized technique categories (Execute, Download, Credentials, etc.) for consistent labeling and filtering of LOLBAS entries. Represents a reusable taxonomy framework for technique databases.