Detect instances of multiple server errors occurring within a brief period of time ASIM Web Session
| Id | a59ba76c-0205-4966-948e-3d5640140688 |
| Rulename | Detect instances of multiple server errors occurring within a brief period of time (ASIM Web Session) |
| Description | This detection mechanism identifies situations where multiple server errors originate from a single source within a limited time frame. |
| Severity | Medium |
| Tactics | InitialAccess Impact |
| Techniques | T1190 T1133 T1498 |
| 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/Web Session Essentials/Analytic Rules/MultipleServerErrorsWithinShortTime.yaml |
| Version | 1.0.0 |
| Arm template | a59ba76c-0205-4966-948e-3d5640140688.json |
// HTTP response status codes indicate whether a specific HTTP request has been successfully completed.
// Please refer this for more details: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status
let threshold = 100; // You can update threshold value as per your environment
_Im_WebSession(starttime=ago(1h))
| where toint(EventResultDetails) between (500 .. 599)
| summarize
TotalErrorCount = count(),
URLs=make_set(Url, 100),
EventStartTime = min(TimeGenerated),
EventEndTime = max(TimeGenerated),
EventResultDetailsSet=make_set(EventResultDetails,10)
by SrcIpAddr, bin(TimeGenerated, 5m), SrcUsername, SrcHostname
| where TotalErrorCount > threshold
| extend
Name = iif(SrcUsername contains "@", tostring(split(SrcUsername, '@', 0)[0]), SrcUsername),
UPNSuffix = iif(SrcUsername contains "@", tostring(split(SrcUsername, '@', 1)[0]), ""), Threshold=threshold
OriginalUri: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Web Session Essentials/Analytic Rules/MultipleServerErrorsWithinShortTime.yaml
severity: Medium
queryFrequency: 1h
status: Available
entityMappings:
- fieldMappings:
- identifier: Address
columnName: SrcIpAddr
entityType: IP
- fieldMappings:
- identifier: Name
columnName: Name
- identifier: UPNSuffix
columnName: UPNSuffix
entityType: Account
- fieldMappings:
- identifier: HostName
columnName: SrcHostname
entityType: Host
alertDetailsOverride:
alertDescriptionFormat: "The client has made a total of '{{TotalErrorCount}}' requests to URLs '{{URLs}}', which have resulted in server errors. It is recommended to thoroughly investigate this alert to determine the underlying cause behind this significant number of errors. For detailed information regarding the specific errors encountered, please refer to the following link: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status."
alertDisplayNameFormat: High number of server errors originated by user '{{SrcUsername}}' from IP address '{{SrcIpAddr}}'
triggerOperator: gt
query: |
// HTTP response status codes indicate whether a specific HTTP request has been successfully completed.
// Please refer this for more details: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status
let threshold = 100; // You can update threshold value as per your environment
_Im_WebSession(starttime=ago(1h))
| where toint(EventResultDetails) between (500 .. 599)
| summarize
TotalErrorCount = count(),
URLs=make_set(Url, 100),
EventStartTime = min(TimeGenerated),
EventEndTime = max(TimeGenerated),
EventResultDetailsSet=make_set(EventResultDetails,10)
by SrcIpAddr, bin(TimeGenerated, 5m), SrcUsername, SrcHostname
| where TotalErrorCount > threshold
| extend
Name = iif(SrcUsername contains "@", tostring(split(SrcUsername, '@', 0)[0]), SrcUsername),
UPNSuffix = iif(SrcUsername contains "@", tostring(split(SrcUsername, '@', 1)[0]), ""), Threshold=threshold
queryPeriod: 1h
tags:
- SchemaVersion: 0.2.6
Schema: WebSession
customDetails:
EventResultSet: EventResultDetailsSet
ErrorThreshold: Threshold
EventEndTime: EventEndTime
RequestURLs: URLs
TotalErrorCount: TotalErrorCount
EventStartTime: EventStartTime
id: a59ba76c-0205-4966-948e-3d5640140688
requiredDataConnectors: []
description: |
'This detection mechanism identifies situations where multiple server errors originate from a single source within a limited time frame.'
eventGroupingSettings:
aggregationKind: AlertPerResult
triggerThreshold: 0
tactics:
- InitialAccess
- Impact
name: Detect instances of multiple server errors occurring within a brief period of time (ASIM Web Session)
version: 1.0.0
kind: Scheduled
relevantTechniques:
- T1190
- T1133
- T1498