Batch Update Findings

securityhub_batch_update_findings

R Documentation

Used by Security Hub customers to update information about their investigation into a finding

Description

Used by Security Hub customers to update information about their investigation into a finding. Requested by administrator accounts or member accounts. Administrator accounts can update findings for their account and their member accounts. Member accounts can update findings for their account.

Updates from batch_update_findings don't affect the value of UpdatedAt for a finding.

Administrator and member accounts can use batch_update_findings to update the following finding fields and objects.

• Confidence

• Criticality

• Note

• RelatedFindings

• Severity

• Types

• UserDefinedFields

• VerificationState

• Workflow

You can configure IAM policies to restrict access to fields and field values. For example, you might not want member accounts to be able to suppress findings or change the finding severity. See Configuring access to BatchUpdateFindings in the Security Hub User Guide.

Usage

securityhub_batch_update_findings(FindingIdentifiers, Note, Severity,
  VerificationState, Confidence, Criticality, Types, UserDefinedFields,
  Workflow, RelatedFindings)

Arguments

FindingIdentifiers	[required] The list of findings to update. batch_update_findings can be used to update up to 100 findings at a time. For each finding, the list provides the finding identifier and the ARN of the finding provider.
Note
Severity	Used to update the finding severity.
VerificationState	Indicates the veracity of a finding. The available values for VerificationState are as follows. UNKNOWN – The default disposition of a security finding TRUE_POSITIVE – The security finding is confirmed FALSE_POSITIVE – The security finding was determined to be a false alarm BENIGN_POSITIVE – A special case of TRUE_POSITIVE where the finding doesn't pose any threat, is expected, or both
Confidence	The updated value for the finding confidence. Confidence is defined as the likelihood that a finding accurately identifies the behavior or issue that it was intended to identify. Confidence is scored on a 0-100 basis using a ratio scale, where 0 means zero percent confidence and 100 means 100 percent confidence.
Criticality	The updated value for the level of importance assigned to the resources associated with the findings. A score of 0 means that the underlying resources have no criticality, and a score of 100 is reserved for the most critical resources.
Types	One or more finding types in the format of namespace/category/classifier that classify a finding. Valid namespace values are as follows. Software and Configuration Checks TTPs Effects Unusual Behaviors Sensitive Data Identifications
UserDefinedFields	A list of name/value string pairs associated with the finding. These are custom, user-defined fields added to a finding.
Workflow	Used to update the workflow status of a finding. The workflow status indicates the progress of the investigation into the finding.
RelatedFindings	A list of findings that are related to the updated findings.

Value

A list with the following syntax:

list(
  ProcessedFindings = list(
    list(
      Id = "string",
      ProductArn = "string"
    )
  ),
  UnprocessedFindings = list(
    list(
      FindingIdentifier = list(
        Id = "string",
        ProductArn = "string"
      ),
      ErrorCode = "string",
      ErrorMessage = "string"
    )
  )
)

Request syntax

svc$batch_update_findings(
  FindingIdentifiers = list(
    list(
      Id = "string",
      ProductArn = "string"
    )
  ),
  Note = list(
    Text = "string",
    UpdatedBy = "string"
  ),
  Severity = list(
    Normalized = 123,
    Product = 123.0,
    Label = "INFORMATIONAL"|"LOW"|"MEDIUM"|"HIGH"|"CRITICAL"
  ),
  VerificationState = "UNKNOWN"|"TRUE_POSITIVE"|"FALSE_POSITIVE"|"BENIGN_POSITIVE",
  Confidence = 123,
  Criticality = 123,
  Types = list(
    "string"
  ),
  UserDefinedFields = list(
    "string"
  ),
  Workflow = list(
    Status = "NEW"|"NOTIFIED"|"RESOLVED"|"SUPPRESSED"
  ),
  RelatedFindings = list(
    list(
      ProductArn = "string",
      Id = "string"
    )
  )
)