Detection rules › Kusto
AWSCloudTrail - Monitor AWS Credential abuse or hijacking
Identifies AWS STS GetCallerIdentity calls made by assumed-role sessions. An attacker who has assumed the role of a legitimate account can call the GetCallerIdentity function to determine what account they are using. A legitimate user using legitimate credentials would not need to call GetCallerIdentity since they should already know what account they are using. More Information: https://duo.com/decipher/trailblazer-hunts-compromised-credentials-in-aws AWS STS GetCallerIdentity API: https://docs.aws.amazon.com/STS/latest/APIReference/API_GetCallerIdentity.html
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Discovery | T1580 Cloud Infrastructure Discovery |
Rules detecting the same action
Other rules on this platform that filter on the same API call or operation.
Rule body kusto
id: 32555639-b639-4c2b-afda-c0ae0abefa55
name: AWSCloudTrail - Monitor AWS Credential abuse or hijacking
description: |
Identifies AWS STS `GetCallerIdentity` calls made by assumed-role sessions.
An attacker who has assumed the role of a legitimate account can call the GetCallerIdentity function to determine what account they are using.
A legitimate user using legitimate credentials would not need to call GetCallerIdentity since they should already know what account they are using.
More Information: https://duo.com/decipher/trailblazer-hunts-compromised-credentials-in-aws
AWS STS GetCallerIdentity API: https://docs.aws.amazon.com/STS/latest/APIReference/API_GetCallerIdentity.html
severity: Low
status: Available
requiredDataConnectors:
- connectorId: AWS
dataTypes:
- AWSCloudTrail
- connectorId: AWSS3
dataTypes:
- AWSCloudTrail
queryFrequency: 1d
queryPeriod: 1d
triggerOperator: gt
triggerThreshold: 0
tactics:
- Discovery
relevantTechniques:
- T1580
query: |
AWSCloudTrail
| where EventName =~ "GetCallerIdentity" and UserIdentityType =~ "AssumedRole"
| extend UserIdentityArn = iif(isempty(UserIdentityArn), tostring(parse_json(Resources)[0].ARN), UserIdentityArn)
| extend UserName = tostring(split(UserIdentityArn, '/')[-1])
| extend AccountName = case(UserIdentityPrincipalid == "Anonymous", "Anonymous", isempty(UserIdentityUserName), UserName, UserIdentityUserName)
| extend AccountName = iif(AccountName contains "@", tostring(split(AccountName, '@', 0)[0]), AccountName),
AccountUPNSuffix = iif(AccountName contains "@", tostring(split(AccountName, '@', 1)[0]), "")
| summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by SourceIpAddress, EventName, EventTypeName, UserIdentityType, RecipientAccountId, AccountName, AccountUPNSuffix, UserIdentityAccountId, UserIdentityPrincipalid,
UserAgent, UserIdentityUserName, SessionMfaAuthenticated, AWSRegion, EventSource, AdditionalEventData, ResponseElements
| extend timestamp = StartTime
| sort by EndTime desc nulls last
entityMappings:
- entityType: Account
fieldMappings:
- identifier: Name
columnName: AccountName
- identifier: UPNSuffix
columnName: AccountUPNSuffix
- identifier: CloudAppAccountId
columnName: RecipientAccountId
- entityType: IP
fieldMappings:
- identifier: Address
columnName: SourceIpAddress
customDetails:
AWSRegion: AWSRegion
EventName: EventName
EventSource: EventSource
EventType: EventTypeName
alertDetailsOverride:
alertDisplayNameFormat: "AWS credential hijack indicator from {{AccountName}}"
alertDescriptionFormat: "GetCallerIdentity invoked by {{AccountName}} from {{SourceIpAddress}} in {{AWSRegion}}."
version: 1.0.4
kind: Scheduled
Stages and Predicates
Stage 1: source
AWSCloudTrail
Stage 2: where
| where EventName =~ "GetCallerIdentity" and UserIdentityType =~ "AssumedRole"
Stage 3: extend (4 consecutive steps)
| extend UserIdentityArn = iif(isempty(UserIdentityArn), tostring(parse_json(Resources)[0].ARN), UserIdentityArn)
| extend UserName = tostring(split(UserIdentityArn, '/')[-1])
| extend AccountName = case(UserIdentityPrincipalid == "Anonymous", "Anonymous", isempty(UserIdentityUserName), UserName, UserIdentityUserName)
| extend AccountName = iif(AccountName contains "@", tostring(split(AccountName, '@', 0)[0]), AccountName),
AccountUPNSuffix = iif(AccountName contains "@", tostring(split(AccountName, '@', 1)[0]), "")
Stage 4: summarize
| summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by SourceIpAddress, EventName, EventTypeName, UserIdentityType, RecipientAccountId, AccountName, AccountUPNSuffix, UserIdentityAccountId, UserIdentityPrincipalid,
UserAgent, UserIdentityUserName, SessionMfaAuthenticated, AWSRegion, EventSource, AdditionalEventData, ResponseElements
Stage 5: extend
| extend timestamp = StartTime
Stage 6: sort
| sort by EndTime desc nulls last
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 |
|---|---|---|
EventName | eq |
|
UserIdentityType | eq |
|
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 |
|---|---|
AWSRegion | summarize |
AccountName | summarize |
AccountUPNSuffix | summarize |
AdditionalEventData | summarize |
EndTime | summarize |
EventName | summarize |
EventSource | summarize |
EventTypeName | summarize |
RecipientAccountId | summarize |
ResponseElements | summarize |
SessionMfaAuthenticated | summarize |
SourceIpAddress | summarize |
StartTime | summarize |
UserAgent | summarize |
UserIdentityAccountId | summarize |
UserIdentityPrincipalid | summarize |
UserIdentityType | summarize |
UserIdentityUserName | summarize |
timestamp | extend |