Brute force attack against user credentials

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Id	5a6ce089-e756-40fb-b022-c8e8864a973a
Rulename	Brute force attack against user credentials
Description	Identifies evidence of brute force activity against a user based on multiple authentication failures and at least one successful authentication within a given time window. This query limits IPAddresses to 100 and may not potentially cover all IPAddresses. The default failure threshold is 10, success threshold is 1, and the default time window is 20 minutes.
Severity	Medium
Tactics	CredentialAccess
Techniques	T1110
Required data connectors	SalesforceServiceCloudCCPDefinition
Kind	Scheduled
Query frequency	1h
Query period	1h
Trigger threshold	0
Trigger operator	gt
Source Uri	https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Salesforce Service Cloud/Analytic Rules/Salesforce-BruteForce.yaml
Version	1.0.4
Arm template	5a6ce089-e756-40fb-b022-c8e8864a973a.json

KQL

let failureCountThreshold = 10;
let successCountThreshold = 1;
let Failures =
SalesforceServiceCloud
| where EventType == "Login" and LoginStatus != "LOGIN_NO_ERROR"
| summarize
      FailureStartTime = min(TimeGenerated),
      FailureEndTime = max(TimeGenerated),
      IpAddresses = make_set (ClientIp, 100),
      FailureCount = count() by User, UserId, UserType;
  SalesforceServiceCloud
  | where EventType == "Login" and LoginStatus == "LOGIN_NO_ERROR"
  | summarize
          SuccessStartTime = min(TimeGenerated),
          SuccessEndTime = max(TimeGenerated),
          IpAddresses = make_set (ClientIp, 100),
          SuccessCount = count() by User, UserId, UserType
  | join kind=leftouter Failures on UserId
  | where FailureCount >= failureCountThreshold and SuccessCount >= successCountThreshold
  | where FailureEndTime < SuccessStartTime
  | project User, EventStartTime = FailureStartTime, EventEndTime = SuccessEndTime, IpAddresses

YAML

customDetails:
  EventStartTime: FailureStartTime
  IPAddresses: IpAddresses
  EventEndTime: SuccessEndTime
status: Available
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Salesforce Service Cloud/Analytic Rules/Salesforce-BruteForce.yaml
query: |
  let failureCountThreshold = 10;
  let successCountThreshold = 1;
  let Failures =
  SalesforceServiceCloud
  | where EventType == "Login" and LoginStatus != "LOGIN_NO_ERROR"
  | summarize
        FailureStartTime = min(TimeGenerated),
        FailureEndTime = max(TimeGenerated),
        IpAddresses = make_set (ClientIp, 100),
        FailureCount = count() by User, UserId, UserType;
    SalesforceServiceCloud
    | where EventType == "Login" and LoginStatus == "LOGIN_NO_ERROR"
    | summarize
            SuccessStartTime = min(TimeGenerated),
            SuccessEndTime = max(TimeGenerated),
            IpAddresses = make_set (ClientIp, 100),
            SuccessCount = count() by User, UserId, UserType
    | join kind=leftouter Failures on UserId
    | where FailureCount >= failureCountThreshold and SuccessCount >= successCountThreshold
    | where FailureEndTime < SuccessStartTime
    | project User, EventStartTime = FailureStartTime, EventEndTime = SuccessEndTime, IpAddresses  
requiredDataConnectors:
- dataTypes:
  - SalesforceServiceCloud
  connectorId: SalesforceServiceCloudCCPDefinition
tactics:
- CredentialAccess
name: Brute force attack against user credentials
relevantTechniques:
- T1110
severity: Medium
entityMappings:
- fieldMappings:
  - identifier: FullName
    columnName: User
  entityType: Account
kind: Scheduled
queryFrequency: 1h
description: |
  'Identifies evidence of brute force activity against a user based on multiple authentication failures and at least one successful authentication within a given time window. This query limits IPAddresses to 100 and may not potentially cover all IPAddresses.
  The default failure threshold is 10, success threshold is 1, and the default time window is 20 minutes.'  
triggerThreshold: 0
triggerOperator: gt
version: 1.0.4
queryPeriod: 1h
id: 5a6ce089-e756-40fb-b022-c8e8864a973a

ARM