Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the use of PowerShell to perform automated reconnaissance against Microsoft Graph API endpoints, specifically targeting HR, payroll, and personal user data. This activity is associated with post-compromise behaviors seen in campaigns like Payroll Pirate, where attackers utilize compromised credentials to harvest sensitive organizational information.
Detects the creation or modification of inbox rules via PowerShell, specifically targeting cmdlets commonly used by attackers to hide phishing indicator emails, security alerts, or C2 communications by moving or deleting them into folders like Junk, Deleted Items, or Archive. The rule monitors for both direct usage on the endpoint and remote administration patterns via Exchange Online/EWS remoting.
This rule detects when users access or download suspicious file types (specifically .xlsm, .docm, or .ics) from Microsoft SharePoint, Teams, or Exchange, where the filenames contain keywords associated with common phishing lures such as credentials, invoices, payroll, or password resets. This monitors for indicators of potential spearphishing attempts involving malicious documents or calendar invites within the M365 environment.
Detects high-volume, suspicious enumeration of HR and Payroll related information via Microsoft Graph API. The rule identifies anomalous behavior such as rapid bulk pagination, usage of suspicious user agents, and specific targeting of sensitive fields (e.g., department, job title) or keywords commonly associated with HR and financial data, likely indicating the use of a stolen OAuth token.
Detects phishing emails containing specific Latin placeholder text artifacts, commonly generated by the Faker library, which are often indicative of unconfigured or template-based phishing kits embedded within email bodies or attachments.
Detects Parameter-to-Prompt (P2P) injection attempts targeting Microsoft 365 Copilot by identifying suspicious patterns in URL query parameters. The rule monitors AuditLogs for queries containing HTML tags, encoded payloads, or known malicious markers typical of prompt injection exploits against search functionalities (CVE-2026-42824).
This rule detects potential brute force or credential stuffing attacks against Azure AD by identifying multiple failed sign-in attempts followed by a successful sign-in from the same user and IP address within a short time frame (1 minute). It specifically looks for scenarios where the successful sign-in occurs after the failed attempts and involves different applications, excluding common Office 365 services to reduce noise.
This rule detects potential bulk phishing email campaigns by identifying a high volume of emails originating from external senders (not @company.com) with suspicious subject lines containing keywords like 'action required', 'verify account', or 'confirm identity'. The rule triggers if at least 50 such emails are sent to 20 or more unique recipients within a one-hour window.
Detects network requests to Microsoft Graph API that appear to be modifying authentication methods, specifically targeting phone-based multi-factor authentication settings. This may indicate an adversary attempting to register their own MFA device to a compromised account to maintain persistence or bypass MFA.
Detects the creation or modification of inbox rules in Office 365/Exchange that configure email forwarding or redirection to external domains. Attackers often use these rules to exfiltrate email data or maintain persistence within an environment by redirecting communications to attacker-controlled accounts.
This rule detects when a single user downloads 50 or more files from OneDrive within a one-hour period. This could indicate data exfiltration or unauthorized bulk access to sensitive information.
This rule detects when a single user removes permissions from 5 or more mailboxes within a one-hour window in an Exchange environment. This activity could indicate an attempt to cover tracks or disrupt access to mailboxes by an attacker.
This rule detects an unusual spike in large file downloads from SharePoint by a single user within a one-hour window. It specifically looks for users downloading 5 or more files, each larger than 100MB, from SharePoint.
This rule detects an unusually high volume of file sharing events from a single user in OneDrive within a one-hour window. Specifically, it looks for five or more 'SharingSet' or 'AnonymousLinkCreated' operations by the same UserId within an hour, which could indicate data exfiltration or unauthorized sharing.
Detects messages sent within Microsoft Teams from an external tenant that contain potentially malicious indicators, such as URL shorteners, external links, or references to executable file extensions. This rule is designed to identify potential spearphishing or social engineering attempts originating from external Microsoft 365 tenants.
Detects high-volume, potentially automated enumeration of Microsoft Graph API endpoints targeting sensitive personnel data (payroll, HR, finance). This rule identifies requests using non-standard or suspicious user agents—such as curl, python-requests, or common web client patterns—when interacting with user and group directories in the Microsoft 365 environment, characteristic of the 'Payroll Pirate' (Storm-2755/Storm-2657) campaign patterns.
Detects incoming emails containing suspicious legal-themed subjects (e.g., subpoenas, copyright infringement) from Gmail domains that include shortened URLs (e.g., bit.ly, goo.gl). The rule also checks for successful SPF or DKIM authentication results, which are common in mass phishing campaigns to bypass initial spam filters.
Detects potential SearchLeak (CVE-2026-42824) prompt-to-parameter injection in Microsoft 365 Copilot Enterprise. The rule monitors for search operations containing URL-encoded characters, HTML/JS injection payloads, or anomalous long query strings that indicate a malicious attempt to influence search results or exfiltrate data.
Detects a suspicious pattern where a user successfully authenticates via MFA, followed by another successful sign-in attempt for the same account within 10 minutes using a different IP address or user agent. This behavior is often indicative of session hijacking or adversary-in-the-middle (AiTM) attacks where a session token is stolen and replayed from an attacker-controlled environment.
This rule monitors for potential spearphishing campaigns by tracking two behaviors: the delivery of emails containing known malicious URLs or lure-themed attachment names via email gateway logs, and the subsequent execution of files extracted from archives or matching lure patterns by EDR agents on endpoints.
This rule detects potentially malicious spearphishing emails containing suspicious file types (such as executables, scripts, or archives) that are sent with either a spoofed sender domain or a subject line containing common lures targeting IT/infrastructure teams. It focuses on identifying high-risk email deliveries that indicate social engineering and initial access attempts.
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