Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a PDF, SVG, HTML, or presentation attachment containing a QR code or extracted URL that leads into an enterprise authentication workflow. This rule is designed to identify phishing attempts where adversaries embed QR codes or malicious URLs within common document types to direct users to fake enterprise login pages for credential harvesting.
This rule detects two suspicious activities within a user's mailbox: (1) An email flood, where a recipient receives more than 500 emails within a 5-minute window, potentially indicating an attempt to overwhelm or hide secondary emails; and (2) The creation or modification of inbox rules that include actions like deleting or moving messages, which is a common persistence and evasion technique used by attackers to hide C2 or phishing communications.
Detects potential phishing campaigns by identifying bulk inbound emails sent to generic recipient aliases (e.g., info@, support@) or to empty recipient fields, combined with subject lines referencing urgent legal or compliance matters (e.g., lawsuits, subpoenas, copyright infringement). The rule uses statistical analysis to flag high-volume emails and correlates them across shared body content patterns to identify coordinated mass-mailing campaigns.
This rule detects network activity indicating a potential modification or interaction with Microsoft Entra ID (Azure AD) multifactor authentication (MFA) settings. Specifically, it looks for POST requests to the Microsoft Graph API targeting authentication methods (e.g., phoneAuthenticationMethod), which may be indicative of an attacker modifying MFA settings to bypass security controls or register rogue authentication devices.
This rule detects exploitation attempts against Microsoft 365 Copilot (CVE-2026-42824) where attackers inject HTML or malicious prompt sequences into the 'q' query parameter. These payloads aim to perform prompt injection, SSRF via Bing, and cross-site scripting to exfiltrate sensitive data such as mailbox content and MFA tokens.
Detects anomalous bulk data access activity within SharePoint or OneDrive where the Microsoft Copilot application is the primary interface. This activity pattern is consistent with SearchLeak-style organizational permission abuse, where an AI assistant may be used to discover and access a large number of distinct files that a user might not otherwise access manually.
Detects potential data exfiltration from Microsoft 365 Copilot sessions where the Bing 'Search by Image' functionality is abused as an SSRF proxy. The rule identifies network requests containing external URLs within the 'imgurl' parameter, occurring shortly after Copilot activity, suggesting that internal or sensitive data (such as emails, calendar items, or MFA context) is being transmitted to an unauthorized external endpoint.
Detects OAuth application consent grants or modifications where the application is granted sensitive permissions including Mail.Read, Directory.Read.All, or User.Read.All. These permissions can be abused by attackers to exfiltrate email data or map the organization's directory.
Detects successful assignment of highly privileged roles (Global Administrator, Privileged Role Administrator, Security Administrator, Exchange Administrator) to a user in Microsoft Entra ID (formerly Azure AD). This is often a sign of privilege escalation or persistence establishment by an attacker.
Detects bulk enumeration of Microsoft Graph API endpoints (users, groups, devices, service principals) characteristic of tools like AzureHound or roadtx. The detection focuses on high-frequency GET requests originating from known Edge browser client IDs associated with CA policy bypass (CVE-2025-0309) where tokens lack MFA claims, indicating unauthorized reconnaissance in an Azure/Entra ID environment.
This rule detects the addition of new certificates or client secrets to Azure App Registrations or Service Principals by a user who is not recorded as an owner of that application in the last 90 days. This behavior is a common persistence and privilege escalation technique used by attackers to maintain access to cloud environments.
Detects high frequency administrative modifications, such as user creation/deletion, password resets, or group membership changes, performed by service accounts associated with Azure AD Connect or Microsoft Entra Connect. This behavior may indicate account compromise where a service principal is being abused to perform bulk identity management operations.
Detects successful Microsoft 365 user authentications where Conditional Access (CA) policies were bypassed, resulting in single-factor authentication. This pattern is indicative of attackers using compromised edge network appliances—which are often configured as trusted network locations—to proxy authentication requests and circumvent security controls.
Device Code Phishing Attempt
Cortex XDR
Detects attempts to abuse the device code flow targeting Microsoft Office and Authentication Broker applications from unmanaged, non-compliant devices with unbound tokens. This activity is indicative of a phishing attack where an adversary is trying to steal application access tokens.
This rule detects potential brute force attacks against Microsoft Exchange Outlook Web App (OWA) by monitoring for a high volume of 401 Unauthorized status codes from non-internal IP addresses. It also correlates these authentication events with subsequent post-authentication actions, specifically identifying mailbox logins followed by mailbox searching or export requests, which may indicate account compromise and unauthorized data collection or exfiltration.
This rule detects inbound emails that appear to be Microsoft Teams invitations but contain suspicious keywords in the subject line related to financial transactions (invoice, billing, payment, renewal, charge). This could indicate a phishing attempt where adversaries leverage legitimate-looking Microsoft invitation emails to deliver financially themed lures.
This rule detects when a user clicks on a URL that contains a domain identified as malicious. The rule specifically looks for `UrlClickEvents` where the extracted domain from the URL matches any of the domains listed in the `malicious_domains` array. This can indicate a successful phishing attempt or an accidental click on a known malicious link.
This rule detects a high volume (5 or more within an hour) of emails from the same sender containing compressed attachments (.zip, .rar, .7z) and subjects indicating documents, invoices, or reports. This pattern can be indicative of phishing campaigns attempting to deliver malware or gather information.
This rule detects potential 'reply-all' storm attacks or malicious mass emails sent to large distribution lists within the organization. It identifies emails sent to 50 or more recipients where the subject line contains phrases like 'reply all' or 'all members', originating from an internal company domain. The rule then counts such broadcast emails within one-hour bins to identify unusual activity.
This rule detects potential Business Email Compromise (BEC) attempts by identifying emails where the sender's address contains keywords like 'ceo', 'finance', or 'hr', and the subject contains keywords like 'wire', 'payment', or 'invoice', but the sender's domain does not match the internal company domain. This pattern suggests an attempt to impersonate a high-ranking individual or department to trick recipients into making unauthorized financial transactions.
Detects the creation or modification of Exchange Online inbox rules that either contain specific sensitive keywords (e.g., payroll, bank, direct deposit) or perform actions that hide, delete, or move messages. This behavior is commonly used by attackers to intercept sensitive communications or conceal evidence of their presence in a compromised mailbox.
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