Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule monitors for inbound email messages containing SVG file attachments. SVG files can contain embedded scripts that may be leveraged for malicious purposes, such as SVG smuggling to deliver secondary payloads or perform credential harvesting.
Detects sign-in events where Conditional Access was not applied for Microsoft Graph access using low-privileged client IDs known to trigger hidden CA exclusions. Tokens issued with only single-factor authentication to Graph indicate exploitation of the hidden scope exclusion behavior introduced when any exclusion is added to an 'All resources' CA policy (CVE-2025-0309). Additionally, this rule identifies audit log events for Conditional Access policy modifications that add exclusions.
Detects Microsoft Entra ID (formerly Azure AD) sign-in logs where a single user account authenticates from two different countries within a 10-minute window, which is indicative of potential account compromise or credential sharing.
KQL Query from file: Detects when a user uploads, shares, or sends executable files (e.g., .exe, .dll, .scr) through Office 365 services (OneDrive / SharePoint / Exchange). This Query is used to find the SHA values of file.
This rule detects potential spear phishing campaigns by identifying a high volume of emails (10 or more within an hour) from external senders (not @company.com) that contain keywords like 'password', 'account', or 'security' in the subject line, and also include either an attachment or a URL. This combination of factors suggests a targeted social engineering attempt.
This rule detects potential phishing attempts by identifying emails where the sender's address contains international (Cyrillic) characters that look similar to Latin characters (homoglyphs) and the subject line contains keywords often associated with phishing, such as 'verify', 'confirm', or 'urgent'. This combination suggests an attempt to spoof legitimate domains using visual deception.
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 a suspicious spike in Microsoft Teams external meeting or chat invitations directed at a single user within a 30-minute window. This behavior is consistent with UNC6692 tactics, where attackers impersonate internal IT helpdesk staff via Teams to perform vishing and social engineering attacks.
Detects the compromised user granting read/write permissions to a highly privileged, unfamiliar third-party application via the OAuth consent framework. Specifically looks for 'Consent to application' operations where granted permissions include 'Mail.ReadWrite', 'Contacts.Read', or 'offline_access'.
Detects the transmission of potential sensitive information, such as passwords, tokens, API keys, or private keys, within Microsoft Teams chat messages by matching message content against a regular expression pattern for common credential formats.
Detects attempts to modify or delete Conditional Access Policies in Microsoft Graph. Adversaries may attempt to alter or remove Conditional Access Policies to bypass security controls and gain unauthorized access or persistence.
Detects inbound email patterns characteristic of the Kali365 campaigns, containing instructions and formatting that prompt users to enter a specific device code. The rule identifies emails with specific subject line keywords and URLs pointing to microsoft.com/devicelogin.
Detects programmatic file downloads from SharePoint and OneDrive using automation tools like PowerShell, PnP, Graph SDK, Python, Node.js, or generic CLI tools (curl, wget) rather than typical browser access. This can indicate data exfiltration.
This rule identifies phishing emails containing multiple distinct redirect hops across various cloud hosting platforms (e.g., Azure Websites, Firebase, CloudFront). It flags emails as suspicious if they contain URLs from multiple monitored cloud platforms, indicating a likely bulletproof redirect chain, and correlates these emails with click data. It elevates the severity for emails sent to privileged user accounts such as admins, executives, or finance staff.
Detects inbound emails carrying an attachment whose filename matches the voicemail lure pattern (v-mail_*mp3.eml) but whose declared MIME type is application/html — a content-type mismatch used in Scotiabank-impersonation TOAD callback phishing campaigns to bypass gateway filters.
This rule detects successful Azure AD authentication attempts originating from known hosting provider or VPS IP addresses, combined with anomalous behavior such as headless browser user agents, impossible travel, or high-risk sign-in flags. This pattern is indicative of Adversary-in-the-Middle (AiTM) phishing proxies like Evilginx or Bluekit, which attempt to bypass MFA by proxying the authentication process.
Detects network requests to Microsoft 365 Copilot Enterprise Search containing suspicious HTML tags or prompt injection keywords in the query parameter, indicating a potential Parameter-to-Prompt (P2P) injection attempt (CVE-2026-42824). Specifically looks for HTML image tags (<img src=), the variable '$TITLE', or the Bing SSRF endpoint 'bing.com/images/searchbyimage' within the URL-decoded 'q' parameter.
Detects inbound emails that fail SPF, DKIM, or DMARC authentication checks while containing keywords related to invoices or payments in the subject line, and referencing known potentially malicious SaaS URLs (holabrief.com or loopedin.io) in the body or URL fields.
This rule monitors for two distinct suspicious activities: 1) Inbound emails where the sender display name matches a list of executive titles, commonly indicative of Business Email Compromise (BEC) or executive impersonation attacks; 2) The creation of cloud service accounts with names mimicking administrative or IT support roles, which may indicate an adversary establishing persistent, privileged access.
This rule detects potential email spoofing attempts by identifying mismatches between P1 (envelope) and P2 (header) sender addresses, identifying discrepancies between sender and reply-to domains, and flagging emails where the display name impersonates common executive or IT support roles.
Detects inbound emails from 'gmail.com' where the sender's display name closely matches the recipient's local username part. This pattern is commonly used in business email compromise (BEC) and phishing attacks to impersonate colleagues or known contacts.
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