Sigma rule: Disabled MFA to Bypass Authentication Mechanisms

A detection rule from the SigmaHQ repository, shown as its author published it. Dataset version ref-2efaf965c5b3, updated 2026-04-30T00:00:00.000Z.

Rule

Title
Disabled MFA to Bypass Authentication Mechanisms
Status
test
Level
medium
Author
@ionsor
Date
2022-02-08
Modified
2026-04-30
File
rules/cloud/azure/audit_logs/azure_mfa_disabled.yml
Commit
ccbb0369507f796db0b0ae6854c8a2be471b9d84

Detection for when multi factor authentication has been disabled, which might indicate a malicious activity to bypass authentication mechanisms.

Log source

product
azure
service
auditlogs

Detection

selection:
    operationName: 'Disable Strong Authentication'
    properties.result: 'success'
condition: selection

False positives (as the rule lists them)

  • Authorized modification by administrators

Tags

  • attack.credential-access
  • attack.persistence
  • attack.defense-impairment
  • attack.t1556

MITRE ATT&CK ids this rule names

References

Read on 2026-11-03T00:58:21.399Z under licence sigma-drl-1.1@d5f4c36a from https://github.com/SigmaHQ/sigma/blob/ccbb0369507f796db0b0ae6854c8a2be471b9d84/rules/cloud/azure/audit_logs/azure_mfa_disabled.yml

Sources and licences

  • SigmaHQ

    "Disabled MFA to Bypass Authentication Mechanisms" by @ionsor (SigmaHQ). Rule: https://github.com/SigmaHQ/sigma/blob/ccbb0369507f796db0b0ae6854c8a2be471b9d84/rules/cloud/azure/audit_logs/azure_mfa_disabled.yml.
    Licensed under the Detection Rule License (DRL) 1.1: https://github.com/SigmaHQ/Detection-Rule-License

    Detection Rule License (DRL) 1.1

Cite this page

Dragons Eye Ransomware Tracker, "Sigma rule: Disabled MFA to Bypass Authentication Mechanisms",
entity page, dataset version ref-2efaf965c5b3, updated 2026-04-30T00:00:00.000Z,
https://ransomware-tracker.com/detections/sigma/7ea78478-a4f9-42a6-9dcd-f861816122bf (accessed 2026-11-03).
Underlying source: SigmaHQ rule 7ea78478-a4f9-42a6-9dcd-f861816122bf, commit ccbb0369507f796db0b0ae6854c8a2be471b9d84.

Pages change. The dataset version identifies the data, but no archive of old versions is kept, so this citation cannot be replayed later.