Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects clipboard access operations (Read/Write) initiated by common web browsers (Chrome, Edge, Brave, Electron-based apps) when running with specific command-line arguments typically associated with renderer or extension processes. This can indicate malicious code or browser extensions attempting to monitor or steal sensitive clipboard content.
This rule monitors web server access logs for suspicious activity targeting sensitive Flowise API endpoints (credentials, variables, secretvariable, apikey). It flags two types of threats: 1) Case-bypass evasion attempts, where canonical endpoints are bypassed via non-standard casing while requesting sensitive data (e.g., matching a status 200 on non-canonical casing for sensitive paths), and 2) High-frequency requests indicative of bulk enumeration or directory/wordlist scanning.
This rule detects the exploitation of CVE-2026-48558 in SimpleHelp, where an OIDC authentication bypass allows unauthenticated attackers to forge identity tokens. The lack of cryptographic signature verification permits the registration of unauthorized, privileged Technician accounts, effectively bypassing MFA. The detection logic monitors for specific log patterns indicating OIDC response processing followed by technician account registration and configuration changes.
Detects anomalous surveillance-like behavior on Android devices associated with the APT36 Ghazwa spyware. The rule identifies applications that check more than 8 distinct sensitive Android permissions within a 60-second window, followed immediately by an outbound HTTP/HTTPS POST request to an external IP, indicative of spyware pre-staging and data exfiltration.
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.
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 suspicious application consent activity in Azure AD. It identifies instances where a user successfully grants consent to three or more applications within a one-hour window. This behavior can indicate an adversary attempting to gain access to resources by tricking users into consenting to malicious applications.
This rule detects potential enumeration of ServiceNow API endpoints or unauthorized access attempts from a known malicious IP address. It monitors HTTP header events specifically for common ServiceNow API patterns, aggregating requests to identify high-volume activity or interactions with sensitive endpoints like 'related_list_edit'.
Detects log entries related to sensitive HR and financial data modifications, specifically identifying keywords such as 'Workday', 'direct deposit', 'payment election', or 'bank account' changes. This activity is indicative of potential payroll fraud, where an adversary attempts to redirect employee compensation to an unauthorized account.
Detects clipboard access operations (Read/Write) initiated by common web browsers (Chrome, Edge, Brave, Electron-based apps) when running with specific command-line arguments typically associated with renderer or extension processes. This can indicate malicious code or browser extensions attempting to monitor or steal sensitive clipboard content.
Detects anomalous bulk configuration data collection from Cisco vManage via REST API endpoints typically used by UAT-8616. The rule identifies repeated HTTP GET requests to critical configuration, device, and system information endpoints on port 8443, which may indicate an attacker attempting to export SD-WAN configuration data following an exploitation event.
Detects attempts to exploit Velocity Template Language (VTL) injection vulnerabilities in the Floci API Gateway, specifically targeting MOCK integration configurations on port 4566. The rule monitors for the injection of malicious Java objects via response templates, deployment of these templates, and the execution of the RCE payload via a specific API endpoint path, including potential IAM enforcement bypass attempts.
Detects users who modify their MFA settings (registration/update/delete) and subsequently perform privileged actions (such as adding role members or service principal credentials) within a short timeframe, while simultaneously observed active in communication applications like Teams, Zoom, or Webex. This behavior is indicative of potential account takeover where an adversary modifies authentication methods to gain persistent access, followed by privilege escalation.
Detects high-volume LDAP queries or specific expensive LDAP search events (Event ID 1644) on Domain Controllers, which are often indicative of reconnaissance activities such as domain environment mapping or user/group enumeration.
This rule detects when a user grants an OAuth application consent to access high-privilege scopes in an Azure environment. It specifically flags instances where the consent is not for all principals and the user performing the action is not a Global Administrator, which may indicate an attacker-controlled application being granted access to sensitive data or resources.
This rule detects when a user grants an OAuth application consent to access high-privilege scopes in an Azure environment. It specifically flags instances where the consent is not for all principals and the user performing the action is not a Global Administrator, which may indicate an attacker-controlled application being granted access to sensitive data or resources.
Detects anomalous process spawning behavior initiated by AI IDE extensions (e.g., Amazon Q, Claude Code, Cursor) when loading Model Context Protocol (MCP) configuration files. The rule flags instances where these IDE components trigger suspicious child processes or command-line executions, which could be indicative of remote code execution (RCE) via malicious mcp.json workspace configurations.
Detects the SearchLeak (CVE-2026-42824) exploit, where an attacker uses a prompt-injected M365 Copilot URL to force the assistant to search the victim's mailbox for sensitive authentication information such as MFA codes, OTPs, or security passcodes. The rule correlates an external HTTP request containing the malicious URL with a subsequent Exchange search query initiated by the Copilot service within a 2-minute window.
Detects external Microsoft Teams calls involving screen sharing and impersonation of trusted entities. This rule identifies high-risk credential theft or RAT installation vectors by filtering for calls where screen sharing occurs and the `identity_name` (likely the external caller's domain or display name) matches patterns associated with free/abused TLDs, cheap/throwaway TLDs, phishing-common TLDs, high-risk specialty TLDs, PHaaS kit TLDs, or impersonates common trusted entities like 'microsoft', 'helpdesk', 'it.support', 'admin', 'security.team', 'apple', 'google', 'amazon', 'paypal', 'bank', etc.
Detects messages sent or chats created by external/guest users in Microsoft Teams where the sender's name or user ID impersonates IT or support personnel, indicating a potential phishing attempt.
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