Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects phishing emails that spoof specific healthcare domains (nhs.uk, mayoclinic.org, clevelandclinic.org) using invoice or payment-related subjects, characterized by DMARC/DKIM/SPF authentication failures. The detection correlates these emails with a subsequent user network request to known open-redirect or intermediary SaaS platforms (holabrief.com, loopedin.io) within a 10-minute window, indicating a likely credential harvesting or malware delivery sequence.
This rule detects attempts to modify or delete Conditional Access Policies within Microsoft Azure Active Directory (now Microsoft Entra ID) via the Microsoft Graph API. Adversaries may alter or remove these policies to bypass security controls, maintain persistence, or facilitate unauthorized access to resources. The detection specifically looks for network events targeting 'graph.microsoft.com' that involve 'conditionalAccessPolicies' and use 'PATCH' (modification) or 'DELETE' (removal) HTTP methods.
Detects potential invoice-themed phishing campaigns by identifying inbound emails that simultaneously target multiple recipients from senders with whom the organization has no prior communication history. The detection specifically flags emails with authentication failures (DKIM, SPF, or ARC) in the subject line, which is a common pattern for phishing attacks attempting to bypass reputation filters using aged domains.
Correlates a spoofed internal email delivering an attachment that subsequently launches PowerShell on the endpoint. Specifically, it looks for emails where the sender's domain is 'yourcompany.com' but SPF authentication fails, and then links this to a device where 'powershell.exe' is executed with specific command-line arguments indicative of web requests or encoded commands.
This rule correlates a user logging in from a new ISP and immediately navigating to HR/Payroll URIs (specifically Workday or ADP) to modify direct deposit data. The detection logic joins Azure AD sign-in events with Cloud App Security events, filtering for interactive logins and page accesses to specific HR/Payroll URLs containing 'direct-deposit'. It also excludes known corporate IP addresses and requires the HR/Payroll access to occur within 30 minutes of the login.
Detects the attacker leveraging a stolen token to create or modify inbox rules (e.g., moving emails to RSS Subscriptions or Archive) to hide their activities. This rule specifically looks for actions like 'New-InboxRule' or 'Set-InboxRule' with parameters indicating email manipulation such as 'MoveToFolder', 'DeleteMessage', or 'MarkAsRead'.
Detects a user who interacted with a code-of-conduct lure subsequently authenticating through an anonymous proxy or anonymisation service. This rule correlates URL click events or sign-in events with subjects related to 'code of conduct' or 'policy acknowledgement' and then checks if the subsequent authentication occurred via an anonymous proxy.
Detects anomalous activity where a single user or service principal downloads more than 5 Microsoft Teams meeting recordings within a 1-hour window. This behavior potentially indicates an insider threat or compromised account performing bulk harvesting of sensitive meeting content.
Detects modifications to Azure AD domain federation settings or authentication methods that could indicate attempts to establish persistent access or bypass authentication controls (e.g., golden SAML attacks, domain-level backdoors). The rule monitors for successful operations related to domain federation, authentication changes, and domain management, excluding known administrative actions from internal Microsoft domains.
This rule detects a potential data collection or exfiltration attempt in Microsoft Teams by identifying accounts that have accessed an abnormally high number of messages (more than 100 within a 5-minute window). This behavior may indicate an automated process or a compromised user account attempting to scrape internal communications.
Detects modifications to Azure AD domain federation settings or authentication methods that could indicate attempts to establish persistent access or bypass authentication controls (e.g., golden SAML attacks, domain-level backdoors). The rule monitors for successful operations related to domain federation, authentication changes, and domain management, excluding known administrative actions from internal Microsoft domains.
This rule detects a potential data collection or exfiltration attempt in Microsoft Teams by identifying accounts that have accessed an abnormally high number of messages (more than 100 within a 5-minute window). This behavior may indicate an automated process or a compromised user account attempting to scrape internal communications.
Detects stolen session token reuse to bypass MFA by correlating a successful SSO/VPN login from one IP with a subsequent successful login from a different IP using the same user agent context, or a user-agent change between sessions for the same user within a short window. Targets access broker technique where infostealer-harvested session cookies are replayed from different source IPs.
Detects stolen session token reuse to bypass MFA by correlating a successful SSO/VPN login from one IP with a subsequent successful login from a different IP using the same user agent context, or a user-agent change between sessions for the same user within a short window. Targets access broker technique where infostealer-harvested session cookies are replayed from different source IPs.
Detects emails successfully delivered to the inbox that exhibit authentication failures for SPF, DKIM, or DMARC, or where a mismatch between the 'SenderFromDomain' and 'SenderMailFromDomain' is observed, indicating potential email spoofing or unauthorized sender impersonation.
Generates a macro-level alert identifying a rapid influx of emails containing links routing through known AiTM reverse proxy architectures, specifically targeting domains like onrender.com, web.app, and workers.dev. The rule triggers if more than 100 such threats are observed within a one-hour window for a given URL domain.
Detects an inbound policy-themed PDF attachment whose extracted URLs lead to a sign-in, authentication, review, or acknowledgement workflow outside the organisation. This rule specifically looks for PDF attachments in emails where the subject contains terms like 'code of conduct', 'policy', 'compliance', or 'handbook', and the extracted URLs within the PDF contain keywords such as 'login', 'signin', 'auth', 'review', or 'acknowledge'.
Detects email-based phishing attempts impersonating Scotiabank where the sender display name contains 'Scotiabank' but the actual sending domain is not 'scotiabank.com'. The rule specifically looks for emails with SPF and DMARC pass but missing DKIM pass, combined with suspicious subject lines (e.g., 'interac', 'e-transfer', 'unauthorized') or specific IP addresses/GoDaddy infrastructure indicators, and targeting high-value recipients (CFO, finance, etc.). This pattern is consistent with compromised legitimate small-business domain abuse.
This rule detects emails where the sender's address contains keywords like 'paypal', 'amazon', or 'apple' but does not originate from their official domains (e.g., '@paypal.com'). This pattern is indicative of lookalike domain phishing attempts, where attackers try to impersonate legitimate brands to trick recipients.
Detects sign-ins from additional IP ranges associated with Kali365 infrastructure and proxies, which could indicate token replay attacks or other unauthorized access attempts.
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.
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