Google Dorking
Automate the process of google dorking searches in order to detect leaked data.
Data Enrichment & Threat Intelligence · Google Dorking
Details
| ID | Google Dorking |
|---|---|
| Provider | Open Source |
| Category | Data Enrichment & Threat Intelligence |
| From Version | 6.2.0 |
| Docker Image | demisto/python3:3.12.8.3296088 |
| Supported Modules | Agentix XSIAM |
README
Automate the process of google dorking searches in order to detect leaked data.
Configure Google Dorking in Cortex
| Parameter | Description | Required |
|---|---|---|
| Search engine ID | True | |
| API Key | True | |
| File Types to Search | Comma separated file types that’ll be searched and downloaded. | True |
| Search Keywords | Comma separated keywords to look for in the files. | False |
| Sites To Search | Provide a single or comma separated list of sites from which to perform the search on. | True |
| Fetch incidents | False | |
| Incident type | False | |
| Maximum number of incidents per fetch | False | |
| First fetch time | False | |
| Trust any certificate (not secure) | False | |
| Use system proxy settings | False | |
| Incidents Fetch Interval | False |
Commands
You can execute these commands from the CLI, as part of an automation, or in a playbook.
After you successfully execute a command, a DBot message appears in the War Room with the command details.
google-dorking-search
Use the google search engine to search a query.
Base Command
google-dorking-search
Input
| Argument Name | Description | Required |
|---|---|---|
| after | Search after this date. Expected format: YYYY-MM-DD. | Optional |
| file_types | Comma separated file types that’ll be searched and downloaded. | Optional |
| keywords | Comma separated keywords to look for in the files. | Optional |
| urls | Provide a single or comma separated list of sites from which to perform the search on. | Optional |
Context Output
There is no context output for this command.
Command Example
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Human Readable Output
Configuration parameters
apiKey— Search engine ID (required)file_types— File Types to Search (required)keywords— Search Keywordsurls— Sites To Search (required)isFetch— Fetch incidentsincidentType— Incident typemax_fetch— Maximum number of incidents per fetchfirst_fetch— First fetch timeinsecure— Trust any certificate (not secure)proxy— Use system proxy settingsincidentFetchInterval— Incidents Fetch Interval
Commands (1)
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google-dorking-searchUse the google search engine to search a query.
commonfields: id: Google Dorking version: -1 name: Google Dorking display: Google Dorking category: Data Enrichment & Threat Intelligence provider: Open Source description: Automate the process of google dorking searches in order to detect leaked data. configuration: - display: Search engine ID displaypassword: API Key name: apiKey type: 9 required: true - display: File Types to Search name: file_types type: 16 required: true options: - pdf - ps - dwf - kml - kmz - gpx - hwp - htm - html - xls - xlsx - ppt - pptx - doc - docx - odp - ods - odt - rtf - svg - tex - txt - text - log - md - bas - c - cc - cpp - cxx - h - hpp - cs - java - pl - py - wml - wap - xml additionalinfo: File types that'll be searched and downloaded. - display: Search Keywords name: keywords type: 12 additionalinfo: Comma separated keywords to look for in the files. required: false - display: Sites To Search name: urls type: 12 required: true additionalinfo: Provide a single or comma separated list of sites from which to perform the search on. - display: Fetch incidents name: isFetch type: 8 required: false - display: Incident type name: incidentType type: 13 required: false - display: Maximum number of incidents per fetch name: max_fetch defaultvalue: '100' type: 0 required: false - display: First fetch time name: first_fetch type: 0 required: false - display: Trust any certificate (not secure) name: insecure type: 8 required: false - display: Use system proxy settings name: proxy type: 8 required: false - display: Incidents Fetch Interval name: incidentFetchInterval defaultvalue: '60' type: 19 required: false script: script: '' type: python commands: - name: google-dorking-search arguments: - name: after description: 'Search after this date. Expected format: YYYY-MM-DD.' - name: file_types auto: PREDEFINED predefined: - pdf - ps - dwf - kml - kmz - gpx - hwp - htm - html - xls - xlsx - ppt - pptx - doc - docx - odp - ods - odt - rtf - svg - tex - txt - text - log - md - bas - c - cc - cpp - cxx - h - hpp - cs - java - pl - py - wml - wap - xml description: Comma separated file types that'll be searched and downloaded. isArray: true - name: keywords description: Comma separated keywords to look for in the files. - name: urls description: Provide a single or comma separated list of sites from which to perform the search on. description: Use the google search engine to search a query. dockerimage: demisto/python3:3.12.8.3296088 isfetch: true subtype: python3 fromversion: 6.2.0 tests: - No tests (auto formatted)