Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

3,866 detections

Detects the creation of an encryption scope within an Azure Storage account. Attackers may use this to encrypt victim blobs with their own keys, as observed with threat actors like STORM-0501, to demand ransom.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
10014
This rule monitors the creation of new Azure Function Apps and identifies those that receive external, non-private network requests within 48 hours of their creation. This pattern may indicate the deployment of malicious or unauthorized serverless infrastructure for command-and-control, proxying, or automated tasks.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
408
Detects suspicious device registrations to Azure AD's Device Registration Service (DRS) using the device code flow. This rule identifies registrations where the device OS attributes are suspicious (e.g., version 0.0.0.0) or where a non-Windows OS claims a Windows identity, potentially indicating an adversary attempting to bypass conditional access policies or gain persistent access.
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Bryant Smith@flowstate
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Detections.ai Community
4 months ago
2018
This rule detects enumeration of directory roles (specifically targeting privileged roles like Global Administrators) in Azure AD/Microsoft Entra ID, correlated with sign-in activity originating from IP addresses outside of defined corporate network ranges. This behavior is indicative of reconnaissance activities by an adversary who has gained initial access via a compromised identity.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
7011
Detects the execution of remote commands on cloud virtual machines (Azure RunCommand or AWS SSM SendCommand) during defined off-hours (18:00 to 06:00). This rule identifies potentially unauthorized administrative or management activity occurring outside of standard business hours across cloud environments.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
108
Detects potential exploitation of CVE-2025-0309, where the Intune Company Portal application identifier is used to acquire Microsoft Graph tokens via a password grant mechanism while bypassing Multi-Factor Authentication (MFA). This technique typically relies on exploiting misconfigured Conditional Access policies that exclude the Intune resource from mandatory MFA enforcement.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
0012
This rule detects potential automated credential stuffing attempts followed by successful authentication and subsequent access to sensitive/privileged APIs within Azure/Entra ID environments. It correlates multiple failed login attempts for service-oriented account names (e.g., svc, api, bot) with a successful login from the same user shortly thereafter, followed by privileged API operations (e.g., KeyVault secret access, user management) within a short time window.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
008
This rule identifies potential account compromise by detecting successful logins to at least two different SaaS applications monitored by Microsoft Cloud App Security (MCAS) within a 2-hour window, originating from geolocations separated by more than 500 kilometers. This behavior is indicative of credential sharing or account hijacking where an adversary accesses multiple cloud services rapidly from geographically distant locations.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
307
Detects when a new federated identity credential is successfully added to an Azure Active Directory (Entra ID) application. This activity is a common method for attackers to establish persistent access to cloud resources by bypassing password-based authentication.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
507
This rule detects suspicious activities related to OAuth application consent and service principal operations originating from proxy infrastructure. Specifically, it looks for actions such as adding service principal credentials, granting OAuth2Permission, consenting to applications, adding delegated permission grants, or adding new service principals/applications, where the initiating IP address is identified as belonging to a proxy service. This combination of activities and source IP can indicate an adversary attempting to establish persistence or escalate privileges within an Azure AD environment.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
4 months ago
11026
This rule monitors Microsoft Graph API audit logs for suspicious activity targeting user objects. It specifically detects attempts at bulk enumeration, use of pagination to circumvent limits, or searches using keywords associated with sensitive organizational data (e.g., payroll, finance, hr, admin).
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
This rule detects network connections and user sign-ins originating from IP addresses identified as belonging to Iran. It also identifies sign-ins where the reported country is Iran, but the IP address is not found within the provided Iranian IP list, which could indicate IP geolocation discrepancies or obfuscation attempts.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
103
This rule detects potential brute force or credential stuffing attacks against Azure AD by identifying multiple failed sign-in attempts followed by a successful sign-in from the same user and IP address within a short time frame (1 minute). It specifically looks for scenarios where the successful sign-in occurs after the failed attempts and involves different applications, excluding common Office 365 services to reduce noise.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
103
Detects potential Adversary-in-the-Middle (AiTM) phishing activity by identifying successful user sign-ins from a new, historically unseen IP address occurring within 30 minutes of a legitimate sign-in from a known IP, indicating the potential replay of a stolen session or refresh token.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
908
Detects instances where a user successfully authenticates from geographically distant locations within a short timeframe (impossible travel) followed by sensitive privileged operations within a 4-hour window.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
108
This rule detects potential Adversary-in-the-Middle (AiTM) session hijacking by monitoring for successful multi-factor authentication (MFA) events on unmanaged or non-compliant devices, followed within 30 minutes by an API request from a geographically distant location. It includes logic to flag suspicious User-Agent strings often associated with automated AiTM tools.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
103
Detects successful authentications to Microsoft Graph using the Microsoft To-Do (22098786-6e16-43cc-a27d-191a01a1e3b5) or Intune Company Portal (9ba1a5c7-f17a-4de9-a1f1-6178c8d51223) client IDs via the ROPC password grant flow without MFA being satisfied. This behaviour is associated with CVE-2025-0309 where hidden CA policy exclusions for low-privileged scopes allow MFA bypass.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
8012
Detects high-volume Microsoft Graph API and SCIM endpoint enumeration consistent with employee directory scraping, potentially by threat groups like BlackFile/Cordial Spider. This rule identifies suspicious activity based on a high count of directory queries or distinct URIs accessed within a short time frame, originating from non-Microsoft/Google/Amazon/IBM ASNs and using common scripting/API user agents.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
4 months ago
8025
Detects automated Microsoft Graph API requests originating from the 'axios/1.7.9' user-agent. This specific user-agent string is associated with the Payroll Pirate campaign, where threat actors (notably Storm-2755 and Storm-2657) employ scripted tools to enumerate directory information, specifically targeting HR and payroll personnel.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
103
Cloud extortion group exploiting exposed credentials and storage
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
102
Detects attempts to abuse the device code flow targeting Microsoft Office and Authentication Broker applications from unmanaged, non-compliant devices with unbound tokens. This activity is indicative of a phishing attack where an adversary is trying to gain access to a user's application access token.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
4012
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