commonfields:
  id: AWS Sagemaker
  version: -1
sectionorder:
- Connect
- Collect
name: AWS Sagemaker
display: AWS Sagemaker
category: Data Enrichment & Threat Intelligence
provider: Amazon
description: AWS Sagemaker - Demisto Phishing Email Classifier.
configuration:
- display: AWS access key
  name: credentials
  type: 9
  displaypassword: AWS secret key
  required: false
  section: Connect
- display: AWS access key
  name: AWSAccessKey
  defaultvalue: ""
  type: 0
  hidden: true
  required: false
  section: Connect
- display: AWS secret key
  name: AWSSecretKey
  defaultvalue: ""
  type: 4
  hidden: true
  required: false
  section: Connect
- display: AWS Region code
  name: AWSRegion
  defaultvalue: "us-east-2"
  type: 0
  required: false
  section: Connect
- display: Endpoint Name
  name: EndpointName
  type: 0
  required: true
  defaultvalue: ""
  section: Connect
- display: AWS STS Regional Endpoints
  additionalinfo: Sets the AWS_STS_REGIONAL_ENDPOINTS environment variable to specify the AWS STS endpoint resolution logic. By default, this option is set to “legacy” in AWS. Leave empty if the environment variable is already set using server configuration.
  name: sts_regional_endpoint
  options:
  - legacy
  - regional
  type: 15
  section: Connect
  required: false
- display: Use system proxy settings
  name: proxy
  type: 8
  required: false
  section: Connect
script:
  script: ''
  type: python
  subtype: python3
  commands:
  - name: predict-phishing
    arguments:
    - name: inputText
      description: The input text (usually email subject + body).
    outputs:
    - contextPath: DBotPhishingPrediction.Label
      description: 'The predicated label: malicious \ other.'
      type: string
    - contextPath: DBotPhishingPrediction.Probability
      description: The predication probability (range 0-1).
      type: number
    description: Classify input text (usually email content).
  dockerimage: demisto/boto3py3:1.0.0.10221838
tests:
- Test Sagemaker
fromversion: 5.0.0