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scribd-search

The scribd-search tool is designed for automated security workflows to search for documents on Scribd, a digital library. It enables security professionals to gather evidence and insights by extracting relevant documents based on specific search terms, thereby enhancing reconnaissance efforts.

Ideal Use Cases & Fit​

This tool is ideal for scenarios where security teams need to locate publicly available documents related to specific topics, such as vulnerabilities or threat intelligence. Typical inputs include targeted terms such as "machine learning" that yield relevant search results. It excels in environments where intelligence gathering and information discovery are critical, although it is not suitable for deep web or restricted content searches.

Value in Workflows​

Integrating the scribd-search tool into security workflows provides significant value during the early reconnaissance phase, helping teams identify valuable documentation related to threats or vulnerabilities. By efficiently aggregating and documenting findings, it enhances information visibility and enables informed decision-making in subsequent phases of incident response or threat assessment.

Input Data​

The tool expects the following input data:

  • search_term: A required string input specifying the term to search for (e.g., "machine learning"). This term drives the search queries conducted against Scribd.

Configuration​

Key configurable parameters include:

  • operation: Controls the action to be performed, such as listing or downloading document results. This parameter is required.
  • search_term: Defines the search term to seek relevant documents. This parameter is optional.
  • user_id: Allows for searching by specific user ID, enhancing targeted results. This parameter is optional.
  • max_results: Sets the maximum number of search results to be returned, allowing workflow builders to manage output volume effectively. The default value is 10 and this parameter is optional. Updated: 2026-01-13