# ShadowTrackr documentation index for LLMs
# https://shadowtrackr.com/llms.txt

## Platform
- /platform/: The ShadowTrackr platform — a continuous EASM pipeline covering asset discovery, detection, vulnerabilities, and suppliers, with up to three years of history
- /platform/asset-discovery: Asset discovery — mapping your external attack surface with risk-based attribution, a suggestions index, cloud detection, and tags
- /platform/detection-rules: Detection rules — high-confidence findings from multiple corroborating artefacts, focused on high-risk edge devices; ShadowTrackr never fires exploits
- /platform/vulnerability-management: Vulnerability management — matching detected software to CVEs, prioritizing with the ShadowTrackr CVSS score, and reducing false positives
- /platform/supplier-dependency: Supplier dependency management — identifying suppliers and independently classifying where they are controlled (Sovereign European, Fully European, European Subsidiary, Non-European)

## Methodology
- /methodology/shadowtrackr-cvss-score: The ShadowTrackr CVSS score — a continuously updated CVSS v4 vector that factors in exploit maturity, so it differs from static NVD and MITRE scores

## Core documentation
- /docs/quick-start: Quick start guide — add assets, discover your attack surface, set up reports and alerts
- /docs/data-model: The data types and indexes available for searching
- /docs/query-syntax: How to write search queries (Easy Search, Elastic/Lucene, Splunk)
- /docs/magic-queries: Special queries for automating reports and exports
- /docs/reports: Scheduled reports — setup, formats, delivery by email or webhook
- /docs/assets: Managing URLs, hosts, subnets, and tags
- /docs/alerts: Configuring event, keyword, and canary token alerts
- /docs/exports: Exporting search results as json, csv, pdf, or xlsx
- /docs/api: REST API reference, with python, php and curl examples
- /docs/integrations: Shodan, Censys, Shadowserver, OpenCTI, and other integrations
- /docs/graphs: Visualization and graph features