Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
771 detections
Filters
Last updated
All Time
Detection languages
392
128
66
49
47
Contributors
296
150
91
39
27
Categories
388
258
255
124
110
Platforms
523
344
285
121
72
Products / Services
370
328
112
51
43
MITRE Techniques
18,115
15,635
12,576
8,388
6,215
771
CVEs
2
1
IDS Classtypes
15
11
3
1
1
IDS Protocols
29
Detects unauthorized abuse of the OAuth 2.0 device authorization grant flow in Salesforce environments, commonly used by threat actors like ShinyHunters (UNC6240) to gain programmatic access. Attackers register malicious connected apps to impersonate legitimate tools, then use social engineering (vishing) to trick victims into approving device codes. This rule flags token issuance from non-allowlisted connected apps using the device_code grant type.
Detects a suspicious sequence where a user completes a device-code authentication flow followed shortly by consenting to high-risk OAuth permissions. This pattern is characteristic of consent phishing and device-code phishing attacks, where an attacker leverages these methods to gain persistent access to a user's cloud resources via malicious application tokens.
Detects the creation of a new Entra ID application followed closely by high-privilege permission grants or consent. This is a common technique used by attackers to establish persistent access to cloud resources, such as mailboxes or sensitive data, via OAuth application backdoors.
Detects potential consent phishing attacks by identifying newly registered multi-tenant Azure AD applications that receive OAuth consent from end-users within a short timeframe (10 minutes) of application registration. The rule specifically flags consents requesting high-risk delegated scopes (e.g., Mail.Read, Mail.Send, Files.ReadWrite.All, offline_access) where the application has not been verified by a trusted publisher.
Detects non-interactive Microsoft Entra ID service principal or managed identity sign-in events originating from an IP address, ASN, or country that has not been historically associated with that specific service principal. This behavior may indicate the use of compromised service principal credentials or stolen access tokens from adversary-controlled infrastructure.
This rule detects when an OAuth application is granted sensitive Exchange Online permissions, such as 'full_access_as_app', 'Mail.Read', 'Mail.ReadWrite', or 'Mail.Send'. Granting these permissions allows an application to access mailboxes across the tenant without requiring a signed-in user context, which is a common persistence and data exfiltration technique used in Business Email Compromise (BEC) and espionage campaigns.
Detects instances where an administrative user grants 'AllPrincipals' OAuth consent to a multi-tenant application that is unverified or lacks a trusted publisher. This behavior is indicative of an attacker tricking a global admin into granting broad permissions (e.g., Mail.Read, Files.ReadWrite.All) to a malicious application, bypassing per-user consent restrictions.
Detects the addition of suspicious, attacker-controlled URLs (such as webhook.site, ngrok.io, or pipedream.net) as valid redirect URIs in an OAuth application's configuration. This technique can be used by an adversary to intercept OAuth authorization codes or tokens by luring users through a malicious authorization link, enabling persistent unauthorized access without further consent.
Detects anomalous sign-in activity for service principals (non-interactive accounts) where the same application authenticates from multiple distinct countries within a 24-hour window. This behavior often indicates the unauthorized use of compromised service principal credentials, such as client secrets or certificates, from distributed attacker-controlled infrastructure.
This rule detects scenarios where a user account grants high-privilege permissions (e.g., mail access or file modification) to an OAuth application within a short time frame (2 hours) following a sign-in event flagged as risky by Entra ID (Azure AD). This pattern is indicative of an adversary abusing OAuth consent flows as a persistence and credential-access mechanism following account compromise.
Detects anomalous, high-volume mailbox read (MailItemsAccessed) activity for a specific user compared to their historical daily baseline. The rule triggers when access volume significantly exceeds baseline averages, particularly when the activity originates from an IP address not previously observed for that specific user, which is a common indicator of automated email exfiltration via stolen session token replay.
Detects non-CLI and non-DevOps utility processes accessing sensitive cloud credential and configuration files, including AWS SSO caches, AWS credentials, kubeconfig, and gcloud configuration files. This behavior is indicative of credential theft or discovery by infostealers attempting to gain unauthorized access to cloud environments.
Detects impossible travel authentication patterns where a user logs in from two geographically distant locations within a short time frame, while specifically filtering for sessions that reuse existing refresh or session tokens instead of performing fresh interactive authentication.
Detects the multi-stage Microsoft cloud identity compromise chain reported by Microsoft Security Research (September 2026): a victim completes a successful Entra ID device-code sign-in (often induced by passkey-themed device-code phishing), the same identity's authentication/security info is registered or changed (MFA/passkey persistence) within 60 minutes (deduplicated to the earliest such event per sign-in), followed within 120 minutes by a burst of at least 25 successful, delegated-context Microsoft Graph API calls (Scopes claim populated, i.e. user-delegated permissions rather than pure application/client-credential access) spanning at least 3 distinct resource paths, exhibiting reconnaissance (>=5 requests against /users, /groups, /directoryRoles, /roleManagement, /applications, /servicePrincipals, /organization) and/or collection (>=10 requests against /messages, /mailFolders, /attachments, /drive, /drives, /sites, /lists, /search) patterns. Restricting to delegated (Scopes-bearing) Graph calls and requiring resource-path breadth removes the two largest false-positive sources: service-principal/application-only automation jobs (Roles-only tokens) and single-endpoint polling tools. Pure behavioral correlation across SigninLogs, AuditLogs, and MicrosoftGraphActivityLogs - no static IOCs. Flags whether Graph activity originated from an IP different from the original device-code sign-in IP as a strong pivot/session-reuse indicator.
Detects instances where a user account consents to an OAuth application requesting high-privilege or sensitive scopes such as Mail.Read, Files.ReadWrite.All, or offline_access. This behavior is a common indicator of consent phishing attacks, where adversaries trick users into granting persistent access to their cloud resources via malicious OAuth applications.
This rule monitors for the addition of new credentials (secrets) to service principals or applications in an Azure/Entra ID environment. It then correlates this event with subsequent mailbox activity (such as accessing mail items, sending mail, or message binding) performed by the application within 7 days of the credential creation. This detection pattern is indicative of potential OAuth application-based persistence and mailbox data exfiltration.
Detects a sequence of potentially malicious local command execution (via PowerShell, cmd, or mshta) that mirrors the 'ClickFix' social engineering pattern, followed by an OAuth application consent grant or device-code authorization by the same user within a short timeframe. This behavior is indicative of an adversary attempting to bypass MFA by tricking a user into authorizing a malicious application after establishing local execution on their endpoint.
Detects potential device-code phishing abuse where a successful device code authentication is followed by scripted API activity using common automation user agents within a short time window (10 minutes). This behavior is indicative of an attacker who has successfully phished a user's device code and is immediately leveraging the stolen token to interact with Microsoft Graph, Azure, or Intune services.
This rule monitors Azure Active Directory service principal sign-in logs to identify authentication attempts from countries or Autonomous System Numbers (ASNs) that have not been observed in the entity's 14-day historical baseline. Such anomalous login behavior may indicate potential account compromise, token theft, or unauthorized use of service principal credentials.
Detects anomalous use of an LLM provider API key by identifying successful API requests originating from multiple distinct countries within a one-hour time window. This activity often indicates the potential theft and concurrent unauthorized use of an API token.
Detects successful OAuth device code sign-in attempts where the geographic location of the authentication does not match the user's historical baseline location. This is indicative of OAuth device code phishing, where a user is tricked into approving an authentication prompt for an attacker-controlled device.
Page 3 of 37