Spoof Detections by Detection Technology Trend

Description

This query visualises total emails with Phish (BEC) Spoof detections by Detection Technology over time

Query · kql

let TimeStart = startofday(ago(30d));
let TimeEnd = startofday(now());
let baseQuery = EmailEvents
| where DetectionMethods has "Phish";
let sdmarc=baseQuery
| project Timestamp,RecipientEmailAddress,NetworkMessageId, DT=parse_json(DetectionMethods) | evaluate bag_unpack(DT) 
| where Phish has 'Spoof DMARC' 
| make-series Count= count() default = 0 on Timestamp from TimeStart to TimeEnd step 1d 
| extend Details = "Spoof DMARC";
let spoofe=baseQuery
| project Timestamp,RecipientEmailAddress,NetworkMessageId, DT=parse_json(DetectionMethods) | evaluate bag_unpack(DT) 
| where Phish has 'Spoof external domain' 
| make-series Count= count() default = 0 on Timestamp from TimeStart to TimeEnd step 1d 
| extend Details = "Spoof external domain";
let spoofi=baseQuery
| project Timestamp,RecipientEmailAddress,NetworkMessageId, DT=parse_json(DetectionMethods) | evaluate bag_unpack(DT) 
| where Phish has 'Spoof intra-org' 
| make-series Count= count() default = 0 on Timestamp from TimeStart to TimeEnd step 1d 
| extend Details = "Spoof intra-org";
union sdmarc, spoofe, spoofi
| project Count, Details, Timestamp
| render timechart
Raw source Spoof Detections by Detection Technology Trend · KQL
Esc
Published by Azure/Azure-Sentinel ↗, licensed under MIT ↗. Reproduced here unmodified. 
id: 0f47b36b-0d8e-4a55-b9a7-3dfa4ad5b744
name: Spoof Detections by Detection Technology Trend
description: |
  This query visualises total emails with Phish (BEC) Spoof detections by Detection Technology over time
description-detailed: |
  This query visualises total emails with Phish Business Email Compromise (BEC) Spoof detections over time summarizing the data daily by various Impersonation Detection technologies/controls in Microsoft Defender for Office 365.
  Query is also included as part of the Defender for Office 365 solution in Sentinel: https://techcommunity.microsoft.com/blog/microsoftdefenderforoffice365blog/part-2-build-custom-email-security-reports-and-dashboards-with-workbooks-in-micr/4411303
requiredDataConnectors:
- connectorId: MicrosoftThreatProtection
  dataTypes:
  - EmailEvents
tactics:
  - InitialAccess
relevantTechniques:
  - T1566
query: |
  let TimeStart = startofday(ago(30d));
  let TimeEnd = startofday(now());
  let baseQuery = EmailEvents
  | where DetectionMethods has "Phish";
  let sdmarc=baseQuery
  | project Timestamp,RecipientEmailAddress,NetworkMessageId, DT=parse_json(DetectionMethods) | evaluate bag_unpack(DT) 
  | where Phish has 'Spoof DMARC' 
  | make-series Count= count() default = 0 on Timestamp from TimeStart to TimeEnd step 1d 
  | extend Details = "Spoof DMARC";
  let spoofe=baseQuery
  | project Timestamp,RecipientEmailAddress,NetworkMessageId, DT=parse_json(DetectionMethods) | evaluate bag_unpack(DT) 
  | where Phish has 'Spoof external domain' 
  | make-series Count= count() default = 0 on Timestamp from TimeStart to TimeEnd step 1d 
  | extend Details = "Spoof external domain";
  let spoofi=baseQuery
  | project Timestamp,RecipientEmailAddress,NetworkMessageId, DT=parse_json(DetectionMethods) | evaluate bag_unpack(DT) 
  | where Phish has 'Spoof intra-org' 
  | make-series Count= count() default = 0 on Timestamp from TimeStart to TimeEnd step 1d 
  | extend Details = "Spoof intra-org";
  union sdmarc, spoofe, spoofi
  | project Count, Details, Timestamp
  | render timechart
version: 1.0.0

Detection rules belong to the projects that publish them and remain under their own licenses. This site indexes and links to them; it claims no rights in them.