Detections

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

3,141 detections

Detects an administrator account rapidly granting mailbox permissions (Add-MailboxPermission, Add-RecipientPermission, Set-MailboxFolderPermission) to a large number of objects within a short timeframe (15 minutes). The rule correlates this activity with a prior 'risky' sign-in or a sign-in using device-code flow, indicative of potential EvilToken or similar adversary-in-the-middle proxy-based session hijacking.
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Arnold Chan@slaz
Defender - KQL
1 month ago
000
Detects the scripted, non-human-paced registration of a rogue external authentication method by monitoring a sequence of specific Azure Audit Log operations (Add application, Add service principal, Add delegated permission grant) occurring within 60 seconds of each other by the same actor. The detection is further corroborated by analyzing Microsoft Graph Activity Logs for associated Python requests to specific Graph API URIs.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
000
This rule detects potential Business Email Compromise (BEC) attempts where an attacker impersonates an executive (CEO, CFO, etc.) via email. It identifies emails where the Sender's display name suggests a high-level executive role, but the domain of the Reply-To address differs from the sender domain, which is a common indicator of a fraudulent routing attempt. The rule further narrows this down to emails with subject lines typical of financial-themed urgency or requests.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
0011
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
Defender - KQL
1 month ago
000
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
000
Detects modifications to Microsoft Entra ID (formerly Azure AD) authentication methods policy where a new external authentication method is configured using a non-approved discovery URL. This could indicate an adversary attempting to configure a malicious identity provider to facilitate authentication bypass or unauthorized access.
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Arnold Chan@slaz
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Hunters
1 month ago
000
Detects modifications to Microsoft Entra ID (formerly Azure AD) authentication methods policy where a new external authentication method is configured using a non-approved discovery URL. This could indicate an adversary attempting to configure a malicious identity provider to facilitate authentication bypass or unauthorized access.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
000
This rule performs a hunting activity across multiple telemetry sources (Network, Email, Endpoint) to detect known indicators of compromise (IOCs) associated with Anthropic threat intelligence reporting (September 2026). It looks for specific malware file names, command-line patterns, service installations, phishing email addresses, and C2 communication URLs.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
206
This rule detects potential large-scale phishing campaigns by identifying email traffic patterns involving URLs hosted on the 'workers.dev' domain. It looks for a high volume of unique recipients and unique subject lines within a short timeframe, which is indicative of automated, mass-distributed phishing lures often used to evade traditional URL reputation filters.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
002
This rule detects potential large-scale phishing campaigns by identifying email traffic patterns involving URLs hosted on the 'workers.dev' domain. It looks for a high volume of unique recipients and unique subject lines within a short timeframe, which is indicative of automated, mass-distributed phishing lures often used to evade traditional URL reputation filters.
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Ankit Mehta@Secvyn
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Hunters
1 month ago
102
Detects anomalous privilege reconnaissance activity where an account queries Microsoft Graph API endpoints (such as directory roles or member/transitive member lists) multiple times in a short window, which may indicate a compromised account attempting to enumerate Global or Exchange Administrator role memberships.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
102
Detects high-frequency, multi-action data access events through the Microsoft Graph API, indicative of automated exfiltration of Exchange, SharePoint/OneDrive, and Teams data. This behavior is consistent with an adversary using stolen OAuth access tokens to perform bulk enumeration and extraction of sensitive cloud-hosted data.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
1 month ago
002
Detects phishing emails that impersonate DocuSign by containing both an .ics calendar file attachment and a link directing users to the Microsoft login OAuth authorization endpoint, often indicative of credential or token harvesting.
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Ankit Mehta@Secvyn
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Hunters
2 months ago
5017
Detects high-volume access to Microsoft Graph API endpoints related to messages, mail folders, and attachments by a single user account within a 30-minute window. This behavior is indicative of automated, unauthorized email and attachment scraping, often associated with remote email collection attempts.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
102
This rule monitors email or communication logs for phishing lures themed around 'passkey' or 'sso' (Single Sign-On). It looks for indicators of urgency, helpdesk impersonation, or targeting of personal devices, which are often precursors to Adversary-in-the-Middle (AiTM) or device-code phishing attacks.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects when a user account updates their multi-factor authentication (MFA) details to include a higher count of registered devices than previously recorded. This behavior could indicate an attacker adding their own device to a compromised account to bypass MFA or maintain persistent access.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects anomalous or high-volume activity related to Microsoft Graph API calls targeting email messages, mail folders, or attachments. This behavior is indicative of potential unauthorized bulk email collection or exfiltration attempts, often observed in account compromise scenarios where an attacker enumerates and downloads mail contents.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
112
Detects anomalous, high-volume access to Exchange Online via the REST API, potentially indicating programmatic exfiltration of email content. This rule monitors for specific suspicious Application IDs, Account Display Names, or Account Object IDs that exceed a threshold of 500 Exchange REST events, which is characteristic of mass-email collection patterns often seen in cloud-based identity compromises.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects a single user account authenticating, performing Graph API reconnaissance, and conducting data exfiltration across three distinct source IP addresses within a one-hour window. This behavior is indicative of threat actors like Storm-3121 or Storm-3032 rotating infrastructure per attack stage to evade network-based detection.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects a single user account authenticating, performing Graph API reconnaissance, and conducting data exfiltration across three distinct source IP addresses within a one-hour window. This behavior is indicative of threat actors like Storm-3121 or Storm-3032 rotating infrastructure per attack stage to evade network-based detection.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
This rule detects high-volume usage (500+ events per hour) of Microsoft Exchange Online resources by accounts that lack an associated AccountObjectId but utilize a TokenObjectId. This pattern is indicative of service accounts or potentially compromised tokens performing bulk actions, such as mass email access or data collection within the Exchange environment.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
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