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

name: Brute force attack against user credentials
queryPeriod: 1h
queryFrequency: 1h
kind: Scheduled
id: 5a6ce089-e756-40fb-b022-c8e8864a973a
requiredDataConnectors:
- dataTypes:
  - SalesforceServiceCloud
  connectorId: SalesforceServiceCloudCCPDefinition
triggerOperator: gt
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.'  
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Salesforce Service Cloud/Analytic Rules/Salesforce-BruteForce.yaml
status: Available
entityMappings:
- entityType: Account
  fieldMappings:
  - identifier: FullName
    columnName: User
triggerThreshold: 0
severity: Medium
version: 1.0.4
tactics:
- CredentialAccess
customDetails:
  EventEndTime: SuccessEndTime
  EventStartTime: FailureStartTime
  IPAddresses: IpAddresses
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  
relevantTechniques:
- T1110

ARM