↳ Source GitHubRègle analytiqueLow
Cross-Cloud Suspicious Compute resource creation in GCP
Description
'This detection identifies potential suspicious activity across multi-cloud environments by combining AWS GuardDuty findings with GCP Audit Logs. It focuses on AWS activities related to unauthorized access, credential abuse, and unusual behaviors, as well as GCP instances creation with non-Google service account users. The query aims to provide a comprehensive view of cross-cloud security incidents for proactive threat detection and response.'
- Type de règle
- Scheduled
- Version
- 1.0.2
- Fréquence
- 1d
- Période analysée
- 1d
- Déclenchement
- gt 0
Couverture MITRE déclarée
Sources déclarées
Métadonnées du fichier source. Aucune dépendance déduite du KQL.
Connecteurs
Types de données
Requête KQL
Requête originale, sans modification.
// Materialize AWS GuardDuty findings
let AwsAlert = materialize (
AWSGuardDuty
// Filter for specific activity types in AWS GuardDuty
| where ActivityType has_any (
"Backdoor:EC2/DenialOfService.UnusualProtocol",
"CredentialAccess:Kubernetes/MaliciousIPCaller",
"CredentialAccess:Kubernetes/SuccessfulAnonymousAccess",
"CredentialAccess:Kubernetes/TorIPCaller",
"CredentialAccess:RDS/AnomalousBehavior.SuccessfulBruteForce",
"CredentialAccess:RDS/TorIPCaller.FailedLogin",
"CredentialAccess:RDS/TorIPCaller.SuccessfulLogin",
"Discovery:Kubernetes/MaliciousIPCaller",
"Recon:IAMUser/MaliciousIPCaller.Custom",
"UnauthorizedAccess:EC2/TorClient",
"UnauthorizedAccess:IAMUser/TorIPCaller",
"UnauthorizedAccess:IAMUser/MaliciousIPCaller.Custom",
"UnauthorizedAccess:IAMUser/InstanceCredentialExfiltration.OutsideAWS",
"UnauthorizedAccess:IAMUser/InstanceCredentialExfiltration.InsideAWS",
"UnauthorizedAccess:IAMUser/ConsoleLoginSuccess.B"
)
// Extract and transform AWS GuardDuty attributes
| extend
AWSAlertId = Id,
AWSAlertTitle = Title,
AWSAlertDescription = Description,
AWSresourceType = tostring(parse_json(ResourceDetails).resourceType),
AWSNetworkEntity = tostring(parse_json(ServiceDetails).action.awsApiCallAction.remoteIpDetails.ipAddressV4),
AWSAlertUserNameEntity = tostring(parse_json(ResourceDetails).accessKeyDetails.userName),
InstanceType = tostring(parse_json(ResourceDetails).instanceDetails.instanceType),
AWSTargetingService = parse_json(ServiceDetails).additionalInfo.apiCalls,
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"
)
// Extract API call details and count
| mv-apply AIPCall = AWSTargetingService on
(
where AIPCall has "name"
| extend APICallName = tostring(AIPCall.name), APICallCount = tostring(AIPCall["count"])
)
// Select distinct attributes for further analysis
| distinct
AWSAlertTime,
ActivityType,
Severity,
AWSAlertId,
AWSAlertTitle,
AWSAlertDescription,
AWSAlertLink,
Arn,
AWSresourceType,
AWSNetworkEntity,
AWSAlertUserNameEntity,
InstanceType,
APICallName,
APICallCount
);
// Materialize GCP Audit Logs related to VM instance creation
let GCPVMActivity= materialize(
GCPAuditLogs
// Filter for Compute Engine instances insertions
| where ServiceName == "compute.googleapis.com" and MethodName endswith "instances.insert"
// Extract and transform relevant GCP Audit Log attributes
| extend
GCPUserUPN= tostring(parse_json(AuthenticationInfo).principalEmail),
GCPUserIp = tostring(parse_json(RequestMetadata).callerIp),
GCPUserUA= tostring(parse_json(RequestMetadata).callerSuppliedUserAgent),
VMDetails= parse_json(AuthorizationInfo),
VMStatus = tostring(parse_json(Response).status),
VMOperation=tostring(parse_json(Response).operationType),
VMName= tostring(parse_json(Request).name),
VMDescription= tostring(parse_json(Request).description),
VMType = tostring(split(parse_json(Request).machineType, "/")[-1]),
Tags= tostring(parse_json(Request).tags),
RequestJS = parse_json(Request)
// Filter out service account-related activities and private IP addresses
| where GCPUserUPN !has "gserviceaccount.com"
| extend Name = tostring(split(GCPUserUPN, "@")[0]), UPNSuffix = tostring(split(GCPUserUPN, "@")[1])
| where VMOperation == "insert" and isnotempty(GCPUserIp) and GCPUserIp != "private"
// Select relevant attributes for further analysis
| project
GCPOperationTime=TimeGenerated,
VMName,
VMStatus,
MethodName,
GCPUserUPN,
ProjectId,
GCPUserIp,
GCPUserUA,
VMOperation,
VMType,
Name,
UPNSuffix
);
// Join AWS and GCP activities based on matching IP addresses
AwsAlert
| join kind= inner (GCPVMActivity)
on
$left.AWSNetworkEntity == $right.GCPUserIp
Entités déclarées
Contenus associés
Liens établis à partir des identifiants déclarés et des manifests des solutions.
Traçabilité de la source
GitHubLes valeurs affichées proviennent des fichiers du dépôt Azure/Azure-Sentinel. Elles décrivent le modèle publié, pas la configuration de votre workspace.
- Commit
7ca9800↗- Identifiant source
5c847e47-0a07-4c01-ab99-5817ad6cb11e
Autres fichiers source 2
Solutions/Multi Cloud Attack Coverage Essentials - Resource Abuse/Analytic Rules/Cross-CloudSuspiciousComputeResourcecreationinGCP.yamlsource ↗Solutions/Multi Cloud Attack Coverage Essentials - Resource Abuse/Data/Solution_Multi Cloud Attack Coverage Essentials - Resource Abuse.jsonsolution-membership ↗GSTEP / SUIVI DU CATALOGUE
Ajouté au catalogue : 16 sept. 2026 · 05:49 UTC
Dernier changement observé : 16 sept. 2026 · 05:49 UTC