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find-relevant-case

Search for existing cases related to specific indicators or entities. Use to find correlation with other investigations before starting new analysis. Takes search terms and returns matching case IDs.

Install with Tessl CLI

npx tessl i github:dandye/ai-runbooks --skill find-relevant-case
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Find Relevant Case Skill

Identify existing cases that may be related to the current investigation based on IOCs, hostnames, usernames, or other entities.

Inputs

  • SEARCH_TERMS - List of values to search for (e.g., ["198.51.100.10", "mikeross-pc", "jsmith"])
  • (Optional) CASE_STATUS_FILTER - Filter by status: "Opened", "Closed" (default: "Opened")
  • (Optional) TIME_FRAME_HOURS - Lookback period for case creation/update
  • (Optional) MAX_RESULTS - Maximum cases to return

Workflow

Step 1: Construct Search Filter

Build a filter for list_cases based on search terms and filters.

Note: The list_cases tool may have limited ability to search within case entities. If direct entity search isn't supported, use broader filters and refine results.

Step 2: Execute Search

secops-soar.list_cases(
    filter=constructed_filter,
    limit=MAX_RESULTS
)

Step 3: Process Results

Extract case IDs and basic details (DisplayName, Priority) from results.

Step 4: (Optional) Refine Results

If too many results, use get_case_full_details on a subset to verify entity presence:

secops-soar.get_case_full_details(case_id=candidate_case_id)

Outputs

OutputDescription
RELEVANT_CASE_IDSList of case IDs that match the search
RELEVANT_CASE_SUMMARIESBrief summaries (ID, name, priority)
FIND_CASE_STATUSSuccess/failure status of the search

Limitations & Workarounds

The list_cases tool may not support direct entity searching. Alternatives:

  1. Broader filters - Use time range, alert type, then manually review
  2. SIEM correlation - Search SIEM for entity, check if events belong to a case
  3. Multiple searches - Search each term separately, combine results
Repository
dandye/ai-runbooks
Last updated
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