Cross-Cloud Unauthorized Credential Access Detection From AWS RDS Login

Severity: medium
Time window: 1d
Group by: AWSNetworkEntity, AuthenticationRequirement, ClientAppUsed, ConditionalAccessStatus, IPAddress, OperationName, RiskDetail, UserAgent, UserPrincipalName
Source: github.com/Azure/Azure-Sentinel

'This detection correlates AWS GuardDuty Credential Access alerts related to Amazon Relational Database Service (RDS) activity with Azure portal sign-in activities. It identifies successful and failed logins, anomalous behavior, and malicious IP access. By joining these datasets on network entities and IP addresses, it detects unauthorized credential access attempts across AWS and Azure resources, enhancing cross-cloud security monitoring.'

MITRE ATT&CK coverage

Tactic	Techniques
Initial Access	`T1133` External Remote Services
Credential Access	`T1110.003` Brute Force: Password Spraying, `T1110.004` Brute Force: Credential Stuffing, `T1556` Modify Authentication Process, `T1557` Adversary-in-the-Middle, `T1606` Forge Web Credentials

Rule body kusto

id: 122fbc6a-57ab-4aa7-b9a9-51ac4970cac1
name: Cross-Cloud Unauthorized Credential Access Detection From AWS RDS Login 
description: |
  'This detection correlates AWS GuardDuty Credential Access alerts related to Amazon Relational Database Service (RDS) activity with Azure portal sign-in activities. It identifies successful and failed logins, anomalous behavior, and malicious IP access. By joining these datasets on network entities and IP addresses, it detects unauthorized credential access attempts across AWS and Azure resources, enhancing cross-cloud security monitoring.'
severity: Medium
requiredDataConnectors:
  - connectorId: AzureActiveDirectory
    dataTypes:
      - SigninLogs
  - connectorId: AWSS3
    dataTypes:
      - AWSGuardDuty
queryFrequency: 1d
queryPeriod: 1d
triggerOperator: gt
triggerThreshold: 0
tactics:
  - CredentialAccess
  - InitialAccess
relevantTechniques:
  - T1557
  - T1110
  - T1110.003
  - T1110.004
  - T1606
  - T1556
  - T1133
query: |
    // Define variable 'AwsAlert' to collect AWS GuardDuty CredentialAccess alerts related to Amazon Relational Database Service (RDS) activity
    let AwsAlert = materialize (
        AWSGuardDuty
        | where ActivityType has_any (
            "CredentialAccess:RDS/TorIPCaller.SuccessfulLogin",
            "CredentialAccess:RDS/TorIPCaller.FailedLogin",
            "CredentialAccess:RDS/AnomalousBehavior.SuccessfulBruteForce",
            "CredentialAccess:RDS/AnomalousBehavior.SuccessfulLogin",
            "CredentialAccess:RDS/MaliciousIPCaller.SuccessfulLogin",
            "CredentialAccess:RDS/MaliciousIPCaller.FailedLogin"
            )
        | extend
            AWSAlertId = Id, 
            AWSAlertTitle = Title,
            AWSAlertDescription = Description,
            AWSresourceType = tostring(parse_json(ResourceDetails).resourceType),
            AWSNetworkEntity = tostring(parse_json(ServiceDetails).action.rdsLoginAttemptAction.remoteIpDetails.ipAddressV4),
            RDSInstanceId = tostring(parse_json(ResourceDetails).rdsDbInstanceDetails.dbInstanceIdentifier),
            RDSUser = tostring(parse_json(ResourceDetails).rdsDbUserDetails.user),
            RDSApplication = tostring(parse_json(ResourceDetails).rdsDbUserDetails.application),
            RDSactionType = tostring(parse_json(ServiceDetails).action.actionType),
            AWSAlertTime = TimeCreated,
            AWSAlertLink= tostring(strcat('https://us-east-1.console.aws.amazon.com/guardduty/home?region=us-east-1#/findings?macros=current&fId=',Id)),
            Severity = 
      case (
        Severity >= 7.0, "High",
        Severity between (4.0 .. 6.9), "Medium",
        Severity between (1.0 .. 3.9), "Low",
        "Unknown")
        | distinct
            AWSAlertTime,
            ActivityType,
            AWSAlertId,
            AWSAlertLink,
            AWSAlertTitle,
            AWSAlertDescription,
            AWSresourceType,
            Arn,
            Severity,
            RDSactionType,
            RDSApplication,
            RDSInstanceId,
            RDSUser,
            AWSNetworkEntity
        );
      // Define variable 'Azure_sigin' to collect Azure portal sign-in activities
      let Azure_sigin = materialize (
          SigninLogs
          | where AppDisplayName == "Azure Portal"
          | where isnotempty(OriginalRequestId)
          | summarize 
              AzureSuccessfulEvent = countif(ResultType == 0), 
              AzureFailedEvent = countif(ResultType != 0), 
              totalAzureLoginEventId = dcount(OriginalRequestId), 
              AzureFailedEventsCount = dcountif(OriginalRequestId, ResultType != 0), 
              AzureSuccessfuleventsCount = dcountif(OriginalRequestId, ResultType == 0),
              AzureSetOfFailedevents = makeset(iff(ResultType != 0, OriginalRequestId, ""), 5), 
              AzureSetOfSuccessfulEvents = makeset(iff(ResultType == 0, OriginalRequestId, ""), 5) 
              by 
              IPAddress, 
              UserPrincipalName, 
              bin(TimeGenerated, 1min), 
              UserAgent,
              ConditionalAccessStatus,
              OperationName,
              RiskDetail,
              AuthenticationRequirement,
              ClientAppUsed
          // Extracting the name and UPN suffix from UserPrincipalName
          | extend
              Name = tostring(split(UserPrincipalName, '@')[0]),
              UPNSuffix = tostring(split(UserPrincipalName, '@')[1])
          );
      // Join 'AwsAlert' and 'Azure_sigin' on the AWS Network Entity and Azure IP Address
      AwsAlert
      | join kind=inner Azure_sigin on $left.AWSNetworkEntity == $right.IPAddress
entityMappings:
  - entityType: IP
    fieldMappings:
      - identifier: Address
        columnName: IPAddress
  - entityType: Account
    fieldMappings:
      - identifier: FullName
        columnName: UserPrincipalName
      - identifier: Name
        columnName: Name
      - identifier: UPNSuffix
        columnName: UPNSuffix
customDetails:
  AWSAlertUserName: RDSUser
  AWSArn: Arn
  AWSresourceType: AWSresourceType
  AWSInstanceType: RDSactionType
  AWSAplicationName: RDSApplication
  AWSInstanceId: RDSInstanceId
  AzureUserAgent: UserAgent
  AzureUser: UserPrincipalName
  AzureClientAppUsed: ClientAppUsed
  AzConditionalAccess: ConditionalAccessStatus
  AzureOperationName: OperationName
  AzureRiskDetail: RiskDetail
  AzAuthRequirement: AuthenticationRequirement
  alertSeverity: Severity
alertDetailsOverride:
  alertDisplayNameFormat: "IP address {{IPAddress}} in {{AWSAlertTitle}} seen in Azure Signin Logs with {{UserPrincipalName}}"
  alertDescriptionFormat: "This detection correlates AWS GuardDuty Credential Access alert described '{{AWSAlertDescription}}' related to Amazon Relational Database Service (RDS) activity with Azure portal sign-in activities. It identifies successful and failed logins, anomalous behavior, and malicious IP access. By joining these datasets on network entities and IP addresses, it detects unauthorized credential access attempts across AWS and Azure resources, enhancing cross-cloud security monitoring. \n\n AWS ALert Link : '{{AWSAlertLink}}' \n\n Find More Details :https://docs.aws.amazon.com/guardduty/latest/ug/guardduty_finding-types-active.html"
  alertSeverityColumnName: Severity
  alertDynamicProperties:
    - alertProperty: AlertLink
      value: AWSAlertLink
    - alertProperty: ProviderName
      value: "AWS"
    - alertProperty: ProductName
      value: "AWSGuardDuty"
    - alertProperty: ProductComponentName
      value: "AWSGuardDuty"
kind: Scheduled
version: 1.0.3

Stages and Predicates

Let binding: `Azure_sigin`

let Azure_sigin = materialize (
      SigninLogs
      | where AppDisplayName == "Azure Portal"
      | where isnotempty(OriginalRequestId)
      | summarize 
          AzureSuccessfulEvent = countif(ResultType == 0), 
          AzureFailedEvent = countif(ResultType != 0), 
          totalAzureLoginEventId = dcount(OriginalRequestId), 
          AzureFailedEventsCount = dcountif(OriginalRequestId, ResultType != 0), 
          AzureSuccessfuleventsCount = dcountif(OriginalRequestId, ResultType == 0),
          AzureSetOfFailedevents = makeset(iff(ResultType != 0, OriginalRequestId, ""), 5), 
          AzureSetOfSuccessfulEvents = makeset(iff(ResultType == 0, OriginalRequestId, ""), 5) 
          by 
          IPAddress, 
          UserPrincipalName, 
          bin(TimeGenerated, 1min), 
          UserAgent,
          ConditionalAccessStatus,
          OperationName,
          RiskDetail,
          AuthenticationRequirement,
          ClientAppUsed
      | extend
          Name = tostring(split(UserPrincipalName, '@')[0]),
          UPNSuffix = tostring(split(UserPrincipalName, '@')[1])
      );

The stages below define let AwsAlert (the rule's main pipeline source).

Stage 1: `source`

AWSGuardDuty

Stage 2: `where`

| where ActivityType has_any (
        "CredentialAccess:RDS/TorIPCaller.SuccessfulLogin",
        "CredentialAccess:RDS/TorIPCaller.FailedLogin",
        "CredentialAccess:RDS/AnomalousBehavior.SuccessfulBruteForce",
        "CredentialAccess:RDS/AnomalousBehavior.SuccessfulLogin",
        "CredentialAccess:RDS/MaliciousIPCaller.SuccessfulLogin",
        "CredentialAccess:RDS/MaliciousIPCaller.FailedLogin"
        )

Stage 3: `extend`

| extend
        AWSAlertId = Id, 
        AWSAlertTitle = Title,
        AWSAlertDescription = Description,
        AWSresourceType = tostring(parse_json(ResourceDetails).resourceType),
        AWSNetworkEntity = tostring(parse_json(ServiceDetails).action.rdsLoginAttemptAction.remoteIpDetails.ipAddressV4),
        RDSInstanceId = tostring(parse_json(ResourceDetails).rdsDbInstanceDetails.dbInstanceIdentifier),
        RDSUser = tostring(parse_json(ResourceDetails).rdsDbUserDetails.user),
        RDSApplication = tostring(parse_json(ResourceDetails).rdsDbUserDetails.application),
        RDSactionType = tostring(parse_json(ServiceDetails).action.actionType),
        AWSAlertTime = TimeCreated,
        AWSAlertLink= tostring(strcat('https://us-east-1.console.aws.amazon.com/guardduty/home?region=us-east-1#/findings?macros=current&fId=',Id)),
        Severity = 
  case (
    Severity >= 7.0, "High",
    Severity between (4.0 .. 6.9), "Medium",
    Severity between (1.0 .. 3.9), "Low",
    "Unknown")

Severity =

ifSeverity >= 7.0"High"

elifSeverity >= 4.0 and Severity <= 6.9"Medium"

elifSeverity >= 1.0 and Severity <= 3.9"Low"

else"Unknown"

Stage 4: `distinct`

| distinct
        AWSAlertTime,
        ActivityType,
        AWSAlertId,
        AWSAlertLink,
        AWSAlertTitle,
        AWSAlertDescription,
        AWSresourceType,
        Arn,
        Severity,
        RDSactionType,
        RDSApplication,
        RDSInstanceId,
        RDSUser,
        AWSNetworkEntity

The stages below run on AwsAlert (the outer pipeline).

Stage 5: `join`

AwsAlert
| join kind=inner Azure_sigin on $left.AWSNetworkEntity == $right.IPAddress

Stage 6: `summarize`

summarize by IPAddress, UserPrincipalName, UserAgent, ConditionalAccessStatus, OperationName, RiskDetail, AuthenticationRequirement, ClientAppUsed

Indicators

Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.

Field	Kind	Values
`ActivityType`	match	`CredentialAccess:RDS/AnomalousBehavior.SuccessfulBruteForce` `CredentialAccess:RDS/AnomalousBehavior.SuccessfulLogin` `CredentialAccess:RDS/MaliciousIPCaller.FailedLogin` `CredentialAccess:RDS/MaliciousIPCaller.SuccessfulLogin` `CredentialAccess:RDS/TorIPCaller.FailedLogin` `CredentialAccess:RDS/TorIPCaller.SuccessfulLogin`
`AppDisplayName`	eq	`Azure Portal` transforms: `cased`
`OriginalRequestId`	is_not_null	(no value, null check)

Output fields

Fields the rule emits when it matches. Chronicle authors list these in the outcome block; they appear on the detection and $risk_score drives alerting. Sentinel / Defender XDR rules build them up through project / summarize / extend stages. Sentinel maps these into alert fields via entityMappings and customDetails; Defender XDR custom detections surface them as alert fields directly.

Field	Source
`AuthenticationRequirement`	`summarize`
`ClientAppUsed`	`summarize`
`ConditionalAccessStatus`	`summarize`
`IPAddress`	`summarize`
`OperationName`	`summarize`
`RiskDetail`	`summarize`
`UserAgent`	`summarize`
`UserPrincipalName`	`summarize`

`j` / `k`	Scroll down / up
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`f`	Follow link (`Shift` = new tab)
`/`	Focus search
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`type:`	`events` / `rules` / `providers`
`vendor:`	`sigma` / `elastic` / `splunk` / `kusto` / `chronicle` (vendor name alone also works: `sigma:`, `kql:`, `secops:`…)
`tactic:`	TA-id, slug, or name: `credential_access`, `TA0006`
`technique:`	technique or sub-technique ID: `T1003`, `T1003.001` (alias `tech:`)
`severity:`	`critical` / `high` / `medium` / `low` / `informational` (alias `sev:`)
`risk_score`	Numeric comparison on the Elastic risk score (0 to 100): `risk_score>50`, `risk_score<=20`, `risk_score=99` (alias `risk`; Elastic rules only)
`stages:`	Rules with exactly N pipeline stages
`correlation:`	`single_event` / `sequence` / `alternatives` / `alternatives_cross_log` / `all_required` / `correlated`
`with:`	Co-occurrence event-id; stacks (`with:4624 with:4769`) to require all, while a comma list in one occurrence (`with:4624,4769`) is an either-or group. Implies multi-event
`like:`	Structural neighbors of a rule slug (equivalents + subsumption stricter / broader): `like:comsvcs_lsass_memory_dump-splunk-sysmon`
`groupby:`	Entity-grouping substring match against `group_by_keys`: `groupby:user`, `groupby:host`
`uses:`	Rules whose predicate tree touches the field (any kind, any value): `uses:CommandLine`
`excludes:`	Rules with top-level `not()` clauses on the field (FP whitelists): `excludes:ParentImage`
`field:` / `value:`	Predicate search; narrows rule cards to those with a matching leaf and drives the indicator tier. Unquoted = substring, wildcards allowed (`value:mimikatz`)
`indicator:`	Shorthand for `field:F value:V`: `indicator:Image=*\powershell.exe`
`kind:`	Filter by predicate kind. Narrows rule cards to those carrying a matching predicate leaf (`vendor:elastic kind:cidr_match`) and drives the indicator tier: `contains` / `starts_with` / `ends_with` / `regex` / `cidr` / `eq` / `in` … (operator aliases `op:`/`match:`)
`has:` / `no:`	`sample`, `field`, `notes`, `refs`, `trace`, `thirdparty`, `rule`, `pattern`, `timewindow`, `threshold`, `newterms`, `sigma`/`elastic`/`splunk`/`kusto`/`chronicle`
`-op:val`	Exclude matches; works on most operators but not `type:`/`like:`/`has:`/`no:` (use `no:<flag>` to exclude a rule flag): `tactic:execution -vendor:splunk`. Standalone `-kind:`/`-field:`/`-value:` drop every rule carrying a matching predicate leaf (`type:rules -kind:is_null`)
`field:"…"` / `value:"…"`	Quoted value = anchored exact match (also allows spaces): `value:"net user"`
`a,b`	Comma = OR inside one operator (`vendor:sigma,elastic`, `severity:high,critical`); repeating a facet merges the same way. `field:`/`value:` never split (literal commas)
`vendors:` / `stage:`	Singular and plural spellings fold to the canonical operator and value: `tactics:` = `tactic:`, `type:event` = `type:events`, `correlation:sequences` = `correlation:sequence`, `has:thresholds` = `has:threshold`
`"quoted phrase"`	Exact-match a multi-word phrase (free text)

Cross-Cloud Unauthorized Credential Access Detection From AWS RDS Login

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Let binding: `Azure_sigin`

Stage 1: `source`

Stage 2: `where`

Stage 3: `extend`

Stage 4: `distinct`

Stage 5: `join`

Stage 6: `summarize`

Indicators

Output fields

Keyboard shortcuts

Search operators

Cross-Cloud Unauthorized Credential Access Detection From AWS RDS Login

MITRE ATT&CK coverage

Rule body kusto

Stages and Predicates

Let binding: Azure_sigin

Stage 1: source

Stage 2: where

Stage 3: extend

Stage 4: distinct

Stage 5: join

Stage 6: summarize

Indicators

Output fields

Let binding: `Azure_sigin`

Stage 1: `source`

Stage 2: `where`

Stage 3: `extend`

Stage 4: `distinct`

Stage 5: `join`

Stage 6: `summarize`