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Zero-day Phish Detections Trend

kql MEDIUM Azure-Sentinel
T1566
EmailEvents
huntingmicrosoftofficial
This rule was pulled from an open-source repository and enriched with AI. Validate in a test environment before deploying to production.
View original rule at Azure-Sentinel →
Retrieved: 2026-05-17T11:00:00Z · Confidence: medium

Hunt Hypothesis

Adversaries are leveraging zero-day phishing techniques to bypass traditional detection controls, indicating the use of previously unknown malicious email patterns. SOC teams should proactively hunt for this behavior in Azure Sentinel to identify and mitigate emerging phishing threats before they cause significant damage.

KQL Query

let TimeStart = startofday(ago(30d));
let TimeEnd = startofday(now());
let baseQuery = EmailEvents
| where Timestamp >= TimeStart
| where DetectionMethods has "Phish";
let fd=baseQuery
| project Timestamp,RecipientEmailAddress,NetworkMessageId, DT=parse_json(DetectionMethods) | evaluate bag_unpack(DT) 
| where Phish has 'File detonation' and Phish !has 'File detonation reputation'
| make-series Count= count() default = 0 on Timestamp from TimeStart to TimeEnd step 1d 
| extend Details = "File detonation";
let ud=baseQuery
| project Timestamp,RecipientEmailAddress,NetworkMessageId, DT=parse_json(DetectionMethods) | evaluate bag_unpack(DT) 
| where Phish has 'URL detonation' and Phish !has 'URL detonation reputation'
| make-series Count= count() default = 0 on Timestamp from TimeStart to TimeEnd step 1d 
| extend Details = "URL detonation";
union fd,ud
| project Count, Details, Timestamp
| render timechart

Analytic Rule Definition

id: f22c98fd-40c2-4823-a5d7-5f5830911125
name: Zero-day Phish Detections Trend
description: |
  This query visualises total emails with Phish detections over time summarizing the data daily by Phish detection technologies/controls used for detecting unknown-unique phish
description-detailed: |
  This query visualises total emails with Phish detections over time summarizing the data daily by Phish detection technologies/controls used for detecting unknown-unique phish by URL or Attachment Detonation
  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 Timestamp >= TimeStart
  | where DetectionMethods has "Phish";
  let fd=baseQuery
  | project Timestamp,RecipientEmailAddress,NetworkMessageId, DT=parse_json(DetectionMethods) | evaluate bag_unpack(DT) 
  | where Phish has 'File detonation' and Phish !has 'File detonation reputation'
  | make-series Count= count() default = 0 on Timestamp from TimeStart to TimeEnd step 1d 
  | extend Details = "File detonation";
  let ud=baseQuery
  | project Timestamp,RecipientEmailAddress,NetworkMessageId, DT=parse_json(DetectionMethods) | evaluate bag_unpack(DT) 
  | where Phish has 'URL detonation' and Phish !has 'URL detonation reputation'
  | make-series Count= count() default = 0 on Timestamp from TimeStart to TimeEnd step 1d 
  | extend Details = "URL detonation";
  union fd,ud
  | project Count, Details, Timestamp
  | render timechart
version: 1.0.0

Required Data Sources

Sentinel TableNotes
EmailEventsEnsure this data connector is enabled

MITRE ATT&CK Context

References

False Positive Guidance

Original source: https://github.com/Azure/Azure-Sentinel/blob/main/Hunting Queries/Microsoft 365 Defender/Email and Collaboration Queries/Phish/Zero-day Phish Detections Trend.yaml