Detections

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

3,750 detections

Detects successful authentication attempts by the same user account from two different geographic locations within a timeframe that is physically impossible to travel between. This detection often highlights compromised accounts or session token theft, including scenarios where MFA mechanisms have been bypassed.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
103
Detects the creation or modification of Exchange Online inbox rules that configure automatic email forwarding or redirection to an external domain. The rule specifically flags if the action also involves deleting or hiding the message, which is a common persistence and exfiltration technique used in Business Email Compromise (BEC) attacks. The detection also incorporates correlation with recent high-risk sign-in activity for the associated user account.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
403
This rule detects potential Multi-Factor Authentication (MFA) push-bombing, also known as MFA fatigue, where an adversary floods a user with push requests in hopes that the user eventually approves one. The rule flags instances where a successful MFA push approval is preceded by five or more failed, denied, or timed-out MFA push notifications within a 15-minute rolling window for the same user.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
107
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.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
603
Detects potential insider threats or departing employees by correlating abnormal bulk data downloads from cloud repositories (SharePoint/OneDrive/Box/etc.) with subsequent sensitive data access and exfiltration signals. It uses baseline behavioral profiling, requires a threshold of sensitive file interactions, and mandates high-confidence exfiltration indicators (removable media usage, suspicious external domains, or multiple combined destination events) to reduce noise. Archive/staging activity is used as an optional confidence booster.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
604
Detects potential session hijacking where an Entra ID session is reused by a non-managed/non-compliant device from a different IP and country shortly after an initial authentication from a managed device. This pattern is consistent with infostealer malware stealing session tokens and replaying them on attacker-controlled infrastructure to bypass MFA.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
103
Detects potential session hijacking where an Entra ID session is reused by a non-managed/non-compliant device from a different IP and country shortly after an initial authentication from a managed device. This pattern is consistent with infostealer malware stealing session tokens and replaying them on attacker-controlled infrastructure to bypass MFA.
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Arnold Chan@slaz
Defender - KQL
1 month ago
103
Detects potential insider threats or departing employees by correlating abnormal bulk data downloads from cloud repositories (SharePoint/OneDrive/Box/etc.) with subsequent sensitive data access and exfiltration signals. It uses baseline behavioral profiling, requires a threshold of sensitive file interactions, and mandates high-confidence exfiltration indicators (removable media usage, suspicious external domains, or multiple combined destination events) to reduce noise. Archive/staging activity is used as an optional confidence booster.
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Arnold Chan@slaz
Defender - KQL
1 month ago
004
Detects potential insider threats or departing employees by correlating abnormal bulk data downloads from cloud repositories (SharePoint/OneDrive/Box/etc.) with subsequent sensitive data access and exfiltration signals. It uses baseline behavioral profiling, requires a threshold of sensitive file interactions, and mandates high-confidence exfiltration indicators (removable media usage, suspicious external domains, or multiple combined destination events) to reduce noise. Archive/staging activity is used as an optional confidence booster.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
104
Detects inbound phishing emails containing brand mentions for Signal, WhatsApp, or Telegram alongside lure phrases related to verification, 2FA, or device linking. The rule specifically filters for emails containing URLs while excluding messages originating from official domains associated with these services.
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Arnold Chan@slaz
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Midnight Slayer
27 days ago
101
Detects activity associated with the MALFEX npm supply-chain campaign (also known as Overlord/movinlike). This rule performs a sweep for known malicious file hashes, suspicious process command lines, outbound network connections to malicious domains or IPs, and email communications from identified adversary-controlled accounts.
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Arnold Chan@slaz
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Hunters
1 month ago
103
Detects Azure AD / M365 audit log events associated with OAuth2 permission grants or application consent
where a high-privilege delegated scope (e.g. Mail.Read, Mail.ReadWrite, Directory.ReadWrite.All, offline_access)
is granted to an application. This technique has been publicly attributed to APT29 (Cozy Bear / Midnight Blizzard)
for maintaining persistent access to M365 mailboxes and directory data via malicious or unverified OAuth
applications, consistent with MITRE ATT&CK T1098.001 (Additional Cloud Credentials) and T1550.001 (Use Alternate
Authentication Material: Application Access Token).
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
003
Detects recurring Microsoft Graph mailbox activity featuring 'command_req_' or 'command_res_' substrings within message subjects or filter queries. This pattern is indicative of attackers using email-based infrastructure for Command and Control (C2) communication, characterized by periodic polling of mailbox items.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
203
Detects anomalous, high-volume file download or export activity originating from a single identity across multiple downstream cloud applications or tenants within a one-hour window. This behavior is indicative of a compromised shared service provider, MSP, or clearinghouse account being leveraged to exfiltrate data from multiple client environments simultaneously. The detection excludes pre-approved service accounts and relies on a dynamic baseline comparison rather than a static threshold.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
003
The following analytic identifies when an O365 email recipient receives and then deletes emails for the combination of both password and banking/payroll changes within a short period.
This behavior may indicate a compromised account where the threat actor is attempting to redirect the victims payroll to an attacker controlled bank account.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 month ago
004
Detects an authentication pattern characteristic of credential compromise, consisting of a burst of failed authentication attempts against an account within a short window, followed immediately by a successful sign-in from an anomalous or new device/location. This pattern is indicative of brute-force or credential spraying followed by successful validation and potential lateral movement.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
003
Detects MFA-fatigue style attacks (push-bombing) against Microsoft 365 accounts. The rule identifies a pattern where a user experiences a high frequency of MFA challenges or denials (at least 5 within a 10-minute window) immediately followed by a successful sign-in from a previously unseen IP and device, excluding phishing-resistant authentication methods and break-glass accounts.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
203
This rule hunts for indicators associated with the TrustSink technique, which involves using rogue External Authentication Methods (EAM) or malicious OIDC providers to bypass authentication or maintain persistence within a cloud environment. It monitors Azure AD sign-in and audit logs, alongside DNS and network events, for references to known malicious domains and URLs used for EAM-based attacks.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
005
Detects the assignment of highly privileged OAuth scopes or application roles to service principals or users within Microsoft Entra ID (formerly Azure AD). This activity is often associated with consent phishing or token abuse, where an adversary attempts to gain long-term programmatic access to sensitive resources like email, files, or directory services using a malicious or compromised application.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
303
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.
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Arnold Chan@slaz
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Hunters
1 month ago
105
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.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
605
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