Dedup - Generic v3 Deprecated

Deprecated. Use the `Dedup - Generic v4` playbook instead. This playbook identifies duplicate incidents using one of the supported methods. Select one of the following methods to identify duplicate incidents in Cortex XSOAR. - ml: Machine learning model, which is trained mostly on phishing incidents. -rules: Rules help identify duplicate incidents when the logic is well defined, for example, the same label or custom fields. -text: Statistics algorithm that compares text, which is generally useful for phishing incidents. For each method, the playbook will search for the oldest similar incident. when there is a match for a similar incident the playbook will close the current incident and will link it to the older incident.

Common Playbooks · 15 tasks · 12 inputs · 2 outputs

Details

IDDedup - Generic v3
From Version5.5.0
Tasks15

README

Deprecated. Use the Dedup - Generic v4 playbook instead. This playbook identifies duplicate incidents using one of the supported methods.
Select one of the following methods to identify duplicate incidents in Cortex XSOAR.

  • ml: Machine learning model, which is trained mostly on phishing incidents.
    -rules: Rules help identify duplicate incidents when the logic is well defined, for example, the same label or custom fields.
    -text: Statistics algorithm that compares text, which is generally useful for phishing incidents.
    For each method, the playbook will search for the oldest similar incident. when there is a match for a similar incident the playbook will close the current incident and will link it to the older incident.

Dependencies

This playbook uses the following sub-playbooks, integrations, and scripts.

Sub-playbooks

This playbook does not use any sub-playbooks.

Integrations

This playbook does not use any integrations.

Scripts

  • FindSimilarIncidents
  • PhishingDedupPreprocessingRule
  • CloseInvestigationAsDuplicate
  • FindSimilarIncidentsByText

Commands

  • linkIncidents

Playbook Inputs


Name Description Default Value Required
DuplicateMethod Select a method for identifying duplicate incidents. Can be “ml”, “rules”, or “text”.
‘rules’ - define specific rules, such as similar incident fields & labels. This method works best if you know the exact logic to find similar incidents.
‘text’ - text similarity, based on TF-IDF - unique word frequency in the incidents (based on similar incident fields)
‘ml’ - machine learning model, which was trained on similar phishing incidents. Considers similar labels, incident fields, and indicators.
  Required
exsitingIncidentsLookback Use only with ML Method.
The start date by which to search for duplicated existing incidents. The date format is the same as in the incidents query page. For example, “3 days ago”, “2019-01-01T00:00:00 +0200”
7 days ago Optional
statusScope Use only with ML Method.
Whether to compare the new incident to past closed or non-closed incidents only.
“All” - Default. Compares to all incidents.
“ClosedOnly” - Compares to closed incidents.
“NonClosedOnly” - Compare to open incidents.
  Optional
fromPolicy Use only with ML Method.
Whether to take into account the email from field for deduplication.

“TextOnly” - incidents will be considered duplicated based on test similarity only, ignoring the sender’s address.

“Exact” - incidents will be considered duplicated if their text is similar, and their sender is the same.

“Domain” - Default. Incidents will be considered duplicated if their text is similar, and their senders’ address has the same domain.
  Optional
DuplicateThreshold The similarity threshold by which to consider an incident as a duplicate (0-1), where “1” is a duplicate and “0” is not a duplicate. Use this argument in the ML or text methods. 0.7 Required
TimeFrameHours The time frame (in hours) in which to check for duplicate incident candidates. 72 Optional
IgnoreClosedIncidents Whether to ignore closed incidents. Can be “yes” or “no”. yes Optional
MaxNumberOfCandidates The maximum number of candidates to check for duplication. 1000 Optional
CloseAsDuplicate Whether to close incidents identified as duplicates. Can be “true” or “false”. true Optional
TimeField The Time field by which to query for past incidents to check for duplicate incident candidates. Values: created, occurred, modified created Optional
similarLabelsKeys A comma-separated list of similar label keys. Comma separated value. Also supports allowing X different words between labels, within the following way: label_name:X, where X is the number of words. X can also be ‘*’ for contains. For example: the value “Email/subject:*” will consider email subject similar, if one is substring of the other. Relevant for ‘Rules’ method.   Optional
similarIncidentFields Fields to compare. Can be label name, incident fields, or custom fields. Comma-separated value. Relevant for ‘Text’ and ‘Rules’ methods. name,type,details Optional

Playbook Outputs


Path Description Type
isSimilarIncidentFound Whether a similar incident was found? Can be “true” or “false”. boolean
similarIncident The similar incident. unknown

Playbook Image


Dedup - Generic v3

Inputs

  • DuplicateMethod — Select a method for identifying duplicate incidents. Can be "ml", "rules", or "text". 'rules' - define specific rules, such as similar incident fields & labels. This method works best if you know the exact logic to find similar incidents. 'text' - text similarity, based on TF-IDF - unique word frequency in the incidents (based on similar incident fields) 'ml' - machine learning model, which was trained on similar phishing incidents. Considers similar labels, incident fields, and indicators.
  • exsitingIncidentsLookback — Use only with ML Method. The start date by which to search for duplicated existing incidents. The date format is the same as in the incidents query page. For example, "3 days ago", "2019-01-01T00:00:00 +0200"
  • statusScope — Use only with ML Method. Whether to compare the new incident to past closed or non-closed incidents only. "All" - Default. Compares to all incidents. "ClosedOnly" - Compares to closed incidents. "NonClosedOnly" - Compare to open incidents.
  • fromPolicy — Use only with ML Method. Whether to take into account the email from field for deduplication. "TextOnly" - incidents will be considered duplicated based on test similarity only, ignoring the sender's address. "Exact" - incidents will be considered duplicated if their text is similar, and their sender is the same. "Domain" - Default. Incidents will be considered duplicated if their text is similar, and their senders' address has the same domain.
  • DuplicateThreshold — The similarity threshold by which to consider an incident as a duplicate (0-1), where "1" is a duplicate and "0" is not a duplicate. Use this argument in the ML or text methods.
  • TimeFrameHours — The time frame (in hours) in which to check for duplicate incident candidates.
  • IgnoreClosedIncidents — Whether to ignore closed incidents. Can be "yes" or "no".
  • MaxNumberOfCandidates — The maximum number of candidates to check for duplication.
  • CloseAsDuplicate — Whether to close incidents identified as duplicates. Can be "true" or "false".
  • TimeField — The Time field by which to query for past incidents to check for duplicate incident candidates. Values: created, occurred, modified
  • similarLabelsKeys — A comma-separated list of similar label keys. Comma separated value. Also supports allowing X different words between labels, within the following way: label_name:X, where X is the number of words. X can also be '*' for contains. For example: the value "Email/subject:*" will consider email subject similar, if one is substring of the other. Relevant for 'Rules' method.
  • similarIncidentFields — Fields to compare. Can be label name, incident fields, or custom fields. Comma-separated value. Relevant for 'Text' and 'Rules' methods.

Outputs

  • isSimilarIncidentFound — Whether a similar incident was found? Can be "true" or "false".
  • similarIncident — The similar incident.

Commands used

linkIncidents

Flowchart

ml rules text yes yes yes Start Start Select method to identify duplicates Select method to identify... Identify duplicates by text - FindSimilarIncidentsByText Identify duplicates by text FindSimilarIncidentsByText Check if duplicates were found Check if duplicates were ... Identify similar incidents using rules - FindSimilarIncidents Identify similar incident... FindSimilarIncidents Close investigation as duplicate - CloseInvestigationAsDuplicate Close investigation as du... CloseInvestigationAsDuplicate Done Done Text Text Phishing ML Phishing ML Rules Rules Close duplicates? Close duplicates? Link similar incidents - linkIncidents Link similar incidents linkIncidents Is Core REST API enabled? Is Core REST API enabled? Identify Phishing duplicates using ML - PhishingDedupPreprocessingRule Identify Phishing duplica... PhishingDedupPreprocessingRule Done Done
deprecated: true
id: Dedup - Generic v3
version: -1
contentitemexportablefields:
  contentitemfields: {}
name: Dedup - Generic v3
description: "Deprecated. Use the `Dedup - Generic v4` playbook instead. This playbook identifies duplicate incidents using one of the supported methods.\nSelect one of the following methods to identify duplicate incidents in Cortex XSOAR.\n- ml: Machine learning model, which is trained mostly on phishing incidents.\n-rules: Rules help identify duplicate incidents when the logic is well defined, for example, the same label or custom fields.\n-text: Statistics algorithm that compares text, which is generally useful for phishing incidents.\nFor each method, the playbook will search for the oldest similar incident. when there is a match for a similar incident the playbook will close the current incident and will link it to the older incident. "
starttaskid: "0"
tasks:
  "0":
    id: "0"
    taskid: 4bb4cba3-1da4-4356-831e-87ca6523087a
    type: start
    task:
      id: 4bb4cba3-1da4-4356-831e-87ca6523087a
      version: -1
      name: ""
      iscommand: false
      brand: ""
      description: ''
    nexttasks:
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    view: |-
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  "1":
    id: "1"
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    type: condition
    task:
      id: 48f0cedf-fad2-47db-81fd-348b062f41fe
      version: -1
      name: Select method to identify duplicates
      description: |-
        Select one of the following methods to identify duplicate incidents in Cortex XSOAR.
        - ml: Machine learning model that is trained mostly on phishing incidents.
        - rules: Rules help identify duplicate incidents when the logic is well defined, for example, same label or custom fields.
        - text: Statistics algorithm that compares text, which is generally useful for phishing incidents.
      type: condition
      iscommand: false
      brand: ""
    nexttasks:
      '#default#':
      - "17"
      ml:
      - "11"
      rules:
      - "12"
      text:
      - "10"
    separatecontext: false
    conditions:
    - label: ml
      condition:
      - - operator: isEqualString
          left:
            value:
              complex:
                root: inputs.DuplicateMethod
                transformers:
                - operator: toLowerCase
            iscontext: true
          right:
            value:
              simple: ml
    - label: rules
      condition:
      - - operator: isEqualString
          left:
            value:
              complex:
                root: inputs.DuplicateMethod
                transformers:
                - operator: toLowerCase
            iscontext: true
          right:
            value:
              simple: rules
    - label: text
      condition:
      - - operator: isEqualString
          left:
            value:
              complex:
                root: inputs.DuplicateMethod
                transformers:
                - operator: toLowerCase
            iscontext: true
          right:
            value:
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    view: |-
      {
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  "4":
    id: "4"
    taskid: d7fd40a2-f80c-400d-8881-75dec9e72802
    type: regular
    task:
      id: d7fd40a2-f80c-400d-8881-75dec9e72802
      version: -1
      name: Identify duplicates by text
      description: |
        Finds similar incidents using a statistics algorithm that compares text, which is generally useful for phishing incidents.
      scriptName: FindSimilarIncidentsByText
      type: regular
      iscommand: false
      brand: ""
    nexttasks:
      '#none#':
      - "5"
    scriptarguments:
      ignoreClosedIncidents:
        simple: ${inputs.IgnoreClosedIncidents}
      maxResults: {}
      maximumNumberOfIncidents:
        complex:
          root: inputs.MaxNumberOfCandidates
      minTextLength: {}
      preProcessText: {}
      textFields:
        complex:
          root: inputs.similarIncidentFields
      threshold:
        complex:
          root: inputs.DuplicateThreshold
      timeField:
        simple: ${inputs.TimeField}
      timeFrameHours:
        complex:
          root: inputs.TimeFrameHours
    separatecontext: false
    view: |-
      {
        "position": {
          "x": 10,
          "y": 485
        }
      }
    note: false
    timertriggers: []
    ignoreworker: false
    skipunavailable: false
    quietmode: 0
  "5":
    id: "5"
    taskid: b6bd2e9d-c6ca-401c-87f5-7dd2b6355bb3
    type: condition
    task:
      id: b6bd2e9d-c6ca-401c-87f5-7dd2b6355bb3
      version: -1
      name: Check if duplicates were found
      description: Checks if any duplicate incidents were found.
      type: condition
      iscommand: false
      brand: ""
    nexttasks:
      '#default#':
      - "9"
      "yes":
      - "13"
    separatecontext: false
    conditions:
    - label: "yes"
      condition:
      - - operator: isTrue
          left:
            value:
              simple: isSimilarIncidentFound
            iscontext: true
    view: |-
      {
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          "x": 480,
          "y": 660
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    note: false
    timertriggers: []
    ignoreworker: false
    skipunavailable: false
    quietmode: 0
  "6":
    id: "6"
    taskid: c5bb7095-cdc3-4a83-8ae4-ed792366f468
    type: regular
    task:
      id: c5bb7095-cdc3-4a83-8ae4-ed792366f468
      version: -1
      name: Identify similar incidents using rules
      description: |-
        Finds similar incidents by common incident keys, labels, custom fields or context keys.
        It's highly recommended to use incident keys if possible (e.g., "type" for the same incident type).
        For best performance, it's recommended to avoid using context keys if possible (for example, if the value also appears in a label key, use the label).
      scriptName: FindSimilarIncidents
      type: regular
      iscommand: false
      brand: ""
    nexttasks:
      '#none#':
      - "5"
    scriptarguments:
      filterQuery: {}
      hoursBack:
        complex:
          root: inputs.TimeFrameHours
      ignoreClosedIncidents:
        simple: ${inputs.IgnoreClosedIncidents}
      incidentFieldsAppliedCondition: {}
      maxNumberOfIncidents:
        complex:
          root: inputs.MaxNumberOfCandidates
      maxResults: {}
      similarContextKeys: {}
      similarCustomFields: {}
      similarIncidentFields:
        complex:
          root: inputs.similarIncidentFields
      similarIncidentKeys: {}
      similarLabelsKeys:
        complex:
          root: inputs.similarLabelsKeys
      skipMissingValues: {}
      timeField:
        simple: ${inputs.TimeField}
    separatecontext: false
    view: |-
      {
        "position": {
          "x": 480,
          "y": 485
        }
      }
    note: false
    timertriggers: []
    ignoreworker: false
    skipunavailable: false
    quietmode: 0
  "8":
    id: "8"
    taskid: 821fea71-8442-4647-8281-52c916a04b43
    type: regular
    task:
      id: 821fea71-8442-4647-8281-52c916a04b43
      version: -1
      name: Close investigation as duplicate
      description: Closes the investigation as a duplicate to one of the incidents. identified.
      scriptName: CloseInvestigationAsDuplicate
      type: regular
      iscommand: false
      brand: ""
    nexttasks:
      '#none#':
      - "9"
    scriptarguments:
      duplicateId:
        complex:
          root: similarIncident
          accessor: rawId
    separatecontext: false
    view: |-
      {
        "position": {
          "x": 1200,
          "y": 1010
        }
      }
    note: false
    timertriggers: []
    ignoreworker: false
    skipunavailable: false
    quietmode: 0
  "9":
    id: "9"
    taskid: c1f06a79-d539-4853-8140-f1f879a8f137
    type: title
    task:
      id: c1f06a79-d539-4853-8140-f1f879a8f137
      version: -1
      name: Done
      type: title
      iscommand: false
      brand: ""
      description: ''
    separatecontext: false
    view: |-
      {
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          "y": 1430
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      }
    note: false
    timertriggers: []
    ignoreworker: false
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    quietmode: 0
  "10":
    id: "10"
    taskid: 31571cc9-8aed-458c-8ea2-f1cb69acb262
    type: title
    task:
      id: 31571cc9-8aed-458c-8ea2-f1cb69acb262
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      name: Text
      type: title
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      brand: ""
      description: ''
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    note: false
    timertriggers: []
    ignoreworker: false
    skipunavailable: false
    quietmode: 0
  "11":
    id: "11"
    taskid: c63d7200-8ad2-4b79-8395-f5764c89bb5e
    type: title
    task:
      id: c63d7200-8ad2-4b79-8395-f5764c89bb5e
      version: -1
      name: Phishing ML
      type: title
      iscommand: false
      brand: ""
      description: ''
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      '#none#':
      - "16"
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    quietmode: 0
  "12":
    id: "12"
    taskid: 58c2edb1-ada1-4220-844d-805f1da22ae9
    type: title
    task:
      id: 58c2edb1-ada1-4220-844d-805f1da22ae9
      version: -1
      name: Rules
      type: title
      iscommand: false
      brand: ""
      description: ''
    nexttasks:
      '#none#':
      - "6"
    separatecontext: false
    view: |-
      {
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      }
    note: false
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    ignoreworker: false
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    quietmode: 0
  "13":
    id: "13"
    taskid: 90b4231e-ab82-4f52-88a6-39bf028dacc6
    type: condition
    task:
      id: 90b4231e-ab82-4f52-88a6-39bf028dacc6
      version: -1
      name: Close duplicates?
      type: condition
      iscommand: false
      brand: ""
      description: ''
    nexttasks:
      '#default#':
      - "15"
      "yes":
      - "8"
    separatecontext: false
    conditions:
    - label: "yes"
      condition:
      - - operator: isEqualString
          left:
            value:
              complex:
                root: inputs.CloseAsDuplicate
                transformers:
                - operator: toLowerCase
            iscontext: true
          right:
            value:
              simple: "true"
    view: |-
      {
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      }
    note: false
    timertriggers: []
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    quietmode: 0
  "14":
    id: "14"
    taskid: 2f6d5087-c0f1-47e3-8065-06cc25ced46a
    type: regular
    task:
      id: 2f6d5087-c0f1-47e3-8065-06cc25ced46a
      version: -1
      name: Link similar incidents
      description: Links similar incidents.
      script: Builtin|||linkIncidents
      type: regular
      iscommand: true
      brand: Builtin
    nexttasks:
      '#none#':
      - "9"
    scriptarguments:
      action: {}
      incidentId: {}
      linkedIncidentIDs:
        complex:
          root: similarIncident
          accessor: rawId
    separatecontext: false
    view: |-
      {
        "position": {
          "x": 740,
          "y": 1260
        }
      }
    note: false
    timertriggers: []
    ignoreworker: false
    skipunavailable: false
    quietmode: 0
  "15":
    id: "15"
    taskid: 04d3848d-57da-47ab-827d-8950c9063c32
    type: condition
    task:
      id: 04d3848d-57da-47ab-827d-8950c9063c32
      version: -1
      name: Is Core REST API enabled?
      description: Checks whether the Core REST API integration is enabled.
      type: condition
      iscommand: false
      brand: ""
    nexttasks:
      '#default#':
      - "9"
      "yes":
      - "14"
    separatecontext: false
    conditions:
    - label: "yes"
      condition:
      - - operator: isExists
          left:
            value:
              complex:
                root: modules
                filters:
                - - operator: isEqualString
                    left:
                      value:
                        simple: modules.brand
                      iscontext: true
                    right:
                      value:
                        simple: Core REST API
                - - operator: isEqualString
                    left:
                      value:
                        simple: modules.state
                      iscontext: true
                    right:
                      value:
                        simple: active
            iscontext: true
    view: |-
      {
        "position": {
          "x": 740,
          "y": 1010
        }
      }
    note: false
    timertriggers: []
    ignoreworker: false
    skipunavailable: false
    quietmode: 0
  "16":
    id: "16"
    taskid: e69901e9-ee05-4b11-8b09-2db95aba308e
    type: regular
    task:
      id: e69901e9-ee05-4b11-8b09-2db95aba308e
      version: -1
      name: Identify Phishing duplicates using ML
      description: Finds similar incidents using an out-of-the-box deduplication preprocessing script that is based on a machine learning algorithm.
      scriptName: PhishingDedupPreprocessingRule
      type: regular
      iscommand: false
      brand: ""
    nexttasks:
      '#none#':
      - "5"
    scriptarguments:
      closeAsDuplicate: {}
      emailBody: {}
      emailBodyHTML: {}
      emailFrom: {}
      emailSubject: {}
      exsitingIncidentsLookback:
        complex:
          root: inputs.exsitingIncidentsLookback
      fromPolicy:
        complex:
          root: inputs.fromPolicy
      incidentTypeFieldName: {}
      incidentTypes: {}
      limit:
        complex:
          root: inputs.MaxNumberOfCandidates
      query: {}
      statusScope:
        complex:
          root: inputs.statusScope
      threshold:
        complex:
          root: inputs.DuplicateThreshold
    separatecontext: false
    view: |-
      {
        "position": {
          "x": 950,
          "y": 485
        }
      }
    note: false
    timertriggers: []
    ignoreworker: false
    skipunavailable: true
    quietmode: 0
  "17":
    id: "17"
    taskid: f78e97e5-f68e-4d27-8b5e-167ba143aa93
    type: title
    task:
      id: f78e97e5-f68e-4d27-8b5e-167ba143aa93
      version: -1
      name: Done
      type: title
      iscommand: false
      brand: ""
      description: ''
    nexttasks:
      '#none#':
      - "9"
    separatecontext: false
    view: |-
      {
        "position": {
          "x": -510,
          "y": 350
        }
      }
    note: false
    timertriggers: []
    ignoreworker: false
    skipunavailable: false
    quietmode: 0
view: |-
  {
    "linkLabelsPosition": {
      "13_15_#default#": 0.55,
      "13_8_yes": 0.56,
      "15_14_yes": 0.58,
      "15_9_#default#": 0.29,
      "5_9_#default#": 0.21
    },
    "paper": {
      "dimensions": {
        "height": 1545,
        "width": 2090,
        "x": -510,
        "y": -50
      }
    }
  }
inputs:
- key: DuplicateMethod
  value: {}
  required: true
  description: "Select a method for identifying duplicate incidents. Can be \"ml\", \"rules\", or \"text\". \n'rules' - define specific rules, such as similar incident fields & labels. This method works best if you know the exact logic to find similar incidents. \n'text' - text similarity, based on TF-IDF - unique word frequency in the incidents (based on similar incident fields) \n'ml' - machine learning model, which was trained on similar phishing incidents. Considers similar labels, incident fields, and indicators."
  playbookInputQuery:
- key: exsitingIncidentsLookback
  value:
    simple: 7 days ago
  required: false
  description: |-
    Use only with ML Method.
    The start date by which to search for duplicated existing incidents. The date format is the same as in the incidents query page. For example, "3 days ago", "2019-01-01T00:00:00 +0200"
  playbookInputQuery:
- key: statusScope
  value: {}
  required: false
  description: "Use only with ML Method.\nWhether to compare the new incident to past closed or non-closed incidents only.   \n\"All\" - Default. Compares to all incidents.\n\"ClosedOnly\" - Compares to closed incidents.\n\"NonClosedOnly\" - Compare to open incidents."
  playbookInputQuery:
- key: fromPolicy
  value: {}
  required: false
  description: "Use only with ML Method.\nWhether to take into account the email from field for deduplication.\n\n\"TextOnly\" - incidents will be considered duplicated based on test similarity only, ignoring the sender's address. \n\n\"Exact\" - incidents will be considered duplicated if their text is similar, and their sender is the same. \n\n\"Domain\" -  Default. Incidents will be considered duplicated if their text is similar, and their senders' address has the same domain."
  playbookInputQuery:
- key: DuplicateThreshold
  value:
    simple: "0.7"
  required: true
  description: The similarity threshold by which to consider an incident as a duplicate (0-1), where "1" is a duplicate and "0" is not a duplicate. Use this argument in the ML or text methods.
  playbookInputQuery:
- key: TimeFrameHours
  value:
    simple: "72"
  required: false
  description: The time frame (in hours) in which to check for duplicate incident candidates.
  playbookInputQuery:
- key: IgnoreClosedIncidents
  value:
    simple: "yes"
  required: false
  description: Whether to ignore closed incidents. Can be "yes" or "no".
  playbookInputQuery:
- key: MaxNumberOfCandidates
  value:
    simple: "1000"
  required: false
  description: The maximum number of candidates to check for duplication.
  playbookInputQuery:
- key: CloseAsDuplicate
  value:
    simple: "true"
  required: false
  description: Whether to close incidents identified as duplicates. Can be "true" or "false".
  playbookInputQuery:
- key: TimeField
  value:
    simple: created
  required: false
  description: 'The Time field by which to query for past incidents to check for duplicate incident candidates. Values: created, occurred, modified'
  playbookInputQuery:
- key: similarLabelsKeys
  value: {}
  required: false
  description: 'A comma-separated list of similar label keys. Comma separated value. Also supports allowing X different words between labels, within the following way: label_name:X, where X is the number of words. X can also be ''*'' for contains. For example: the value "Email/subject:*" will consider email subject similar, if one is substring of the other. Relevant for ''Rules'' method.'
  playbookInputQuery:
- key: similarIncidentFields
  value:
    simple: name,type,details
  required: false
  description: Fields to compare. Can be label name, incident fields, or custom fields. Comma-separated value. Relevant for 'Text' and 'Rules' methods.
  playbookInputQuery:
outputs:
- contextPath: isSimilarIncidentFound
  description: Whether a similar incident was found? Can be "true" or "false".
  type: boolean
- contextPath: similarIncident
  description: The similar incident.
  type: unknown
tests:
- No tests
fromversion: 5.5.0