Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a potential exploitation of the SearchLeak (CVE-2026-42824) vulnerability in Microsoft 365 Copilot, where raw HTML <img> tags containing Bing Search-by-Image parameters are rendered during the streaming phase before proper sanitization occurs. This could potentially allow for SSRF or information leakage through malicious image references.
Detects instances where users grant broad permissions (e.g., Mail.Read, Files.ReadWrite) to newly registered or unknown applications. It specifically correlates these grants with device code flow authentication, a technique frequently used in OAuth consent phishing to bypass traditional authentication hurdles.
Detects non-interactive sign-ins to Microsoft 365 using the OAuth Resource Owner Password Credentials (ROPC) flow via the Azure CLI. This legacy authentication method enables attackers to bypass multi-factor authentication (MFA) by submitting credentials directly to the authentication endpoint, a technique observed in password spraying campaigns.
Detects high-frequency MFA factor updates, resets, activations, deactivations, or deletions for a single user within a 30-minute window. This behavior often indicates an adversary attempting to compromise or take control of account authentication mechanisms after gaining initial access.
This rule detects unauthorized requests to the '/api/tokens/import/txt' endpoint, which is associated with the 'Device Code Lab' token management panel. Such activity is indicative of an attacker importing stolen session tokens to maintain persistent access to a compromised environment.
This rule detects the creation of unauthorized technician accounts in the SimpleHelp RMM platform that follow an OIDC authentication bypass pattern (CVE-2026-48558). It correlates server logs indicating 'New Anon' registration activity with Windows Security Event ID 4720 (User account created), specifically filtering for accounts that do not belong to trusted corporate domains.
Detects the creation or update of mailbox inbox rules within 30 minutes of a successful sign-in event using the OAuth device code flow. This sequence is often observed in Business Email Compromise (BEC) attacks where an attacker uses a stolen or phished device code to access a mailbox and subsequently establishes persistence via malicious mail forwarding or deletion rules to hide their tracks.
Detects unauthorized attempts by low-privileged API tokens to access sensitive Argo CD endpoints related to Git repository credentials and project configurations. This rule specifically monitors for exploitation patterns associated with CVE-2025-55190, where tokens with read-only access could retrieve secrets they are not authorized to view.
Detects potential zero-click LLM prompt injection attacks against Microsoft 365 Copilot. The rule correlates Microsoft 365 Copilot activity involving external/untrusted URLs or domains with recent inbound email activity to the same user. This pattern is designed to identify scenarios where an attacker leverages an inbound email to trigger a Copilot interaction with malicious external content, potentially leading to unauthorized data access or exfiltration.
This rule detects potential mass emailing or spam activity by identifying instances where a single email account sends more than 100 emails within a one-minute window. This behavior is often characteristic of compromised accounts performing phishing campaigns or bulk unauthorized communication.
Detects high-volume unauthenticated API queries against a ServiceNow instance by a Guest user. This behavior is indicative of an adversary attempting to exfiltrate sensitive information, such as ticket data, configuration secrets, or employee records, via the 'related_list_edit' REST endpoint or standard table APIs.
This rule detects suspicious Google OAuth authorization requests directed at accounts.google.com that utilize a local redirect URI (http://localhost) and are missing mandatory security parameters such as code_challenge, state, and login_hint. These characteristics are often associated with OAuth-based phishing or credential theft campaigns where an adversary attempts to intercept authorization codes.
This rule monitors for potential lateral phishing activity within an organization by identifying internal accounts sending high volumes of emails, correlating this with MailItemsAccessed audit events from unexpected IPs, and detecting OAuth token abuse patterns (such as granting consent or adding credentials) within the Exchange Online environment.
This rule detects the creation or modification of inbox rules in Office 365 that involve email forwarding or redirection to external domains. It calculates a risk score based on whether the action occurred outside of typical business hours (08:00-18:00 local time/weekends) and whether the user is performing this action from a previously unseen IP address, which may indicate a compromised account attempting to exfiltrate or redirect emails.
Detects high-volume, unauthenticated REST API requests to ServiceNow endpoints, specifically those identified as coming from a 'guest' user account or lacking authentication tokens, which may indicate reconnaissance, vulnerability scanning, or automated data extraction attempts.
Detects indicators of Device Code Lab's PRT Refresh capability, where an administrator's 'Revoke all sessions' (revokeSignInSessions) action is followed by a prt-refresh backend call that reactivates the attacker's session without new user interaction, bypassing standard OAuth refresh token revocation.
Detects anomalous device code authentication sessions originating from non-corporate IP addresses using common command-line user agents, which are immediately followed by a device registration event by the same user. This pattern is indicative of OAuth device code phishing, where an attacker tricks a user into authorizing a malicious application to access their account.
Detects anomalous non-interactive OAuth token requests against Microsoft Graph that claim multi-factor authentication (MFA) satisfaction from unmanaged devices. This behavior is indicative of Adversary-in-the-Middle (AiTM) token replay attacks, where captured session tokens are reused by an attacker to bypass authentication controls, consistent with tactics used by threat actors like Storm-2755 (Payroll Pirate).
This rule detects attempts to exploit Microsoft 365 Copilot through prompt injection, where attackers inject HTML/script elements into search queries. It specifically identifies when these queries attempt to force Copilot to interact with external URLs via Bing image search (SSRF), potentially exfiltrating sensitive data such as MFA codes, email content, or meeting details to an attacker-controlled external domain.
This rule computes a composite risk score for user authentication events across multiple identity and network providers (Okta, Azure AD, VPNs, etc.). It flags suspicious patterns including impossible travel, credential stuffing indicators (multiple failures followed by success), new or unknown devices, and lateral movement attempts (concurrent access to both VPN and SSO services). Only users meeting a risk score threshold of 40 or higher with at least one successful authentication are reported.
Detects high-frequency MFA factor updates, resets, activations, deactivations, or deletions for a single user within a 30-minute window. This behavior often indicates an adversary attempting to compromise or take control of account authentication mechanisms after gaining initial access.
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