Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects spearphishing attempts using SearchLeak (CVE-2026-42824) which involves delivering malicious Microsoft 365 Copilot Enterprise search URLs. These URLs utilize prompt injection via the query parameter to target high-value users, aiming to exfiltrate sensitive data such as MFA codes, email contents, or meeting details through the Copilot interface.
Detects network traffic containing a potentially malicious Microsoft Excel (.xlsx) OOXML file being downloaded. The rule identifies the presence of the 'Content-Disposition' header with an '.xlsx' extension, combined with a file signature matching the ZIP format (often used by OOXML files) and a file size exceeding 500KB, which may indicate an attempt to exploit CVE-2025-60727.
Detects Server-Side Request Forgery (SSRF) attempts targeting Microsoft Exchange via the /autodiscover/ endpoint. The attack leverages a specifically crafted X-BEResource header containing an internal IP address, which is indicative of the CVE-2021-26855 vulnerability used in ProxyLogon exploitation.
Detects HTTP POST requests containing multipart form data that include suspicious PHP functions commonly associated with webshells, such as eval(), base64_decode(), system(), or passthru(). This indicates a potential attempt to upload or execute a malicious PHP script on a web server.
This rule detects attempts to exploit the Log4Shell vulnerability (CVE-2021-44228) by monitoring HTTP headers (User-Agent, X-Forwarded-For, Referer) for JNDI lookup strings. The JNDI lookup mechanism in vulnerable Log4j libraries allows an attacker to execute arbitrary code by pointing the lookup to a malicious LDAP, RMI, or DNS server.
Detects a single user account authenticating via RDP (Logon Type 10) to three or more distinct target hosts within a 15-minute window, which is often indicative of an adversary performing lateral movement using compromised credentials.
Detects the execution of .crx Edge extension files where the parent process is Microsoft Teams, often indicating social engineering attacks delivering malicious extensions.
Detects anomalous process execution chains originating from Gitea or Gitea Act Runner processes. This rule is designed to catch post-exploitation behavior associated with CVE-2026-20896, where an improperly configured reverse proxy allows an attacker to impersonate an administrator. The detection identifies shells, scripting interpreters, and network utilities spawned by the Gitea service, which may indicate command injection, malicious git hook execution, or CI/CD job abuse following an unauthorized administrative access.
Detects HTTP requests to Gitea instances containing the X-WEBAUTH-USER header, which facilitates user impersonation when Gitea is misconfigured with 'REVERSE_PROXY_TRUSTED_PROXIES = *' in a Docker environment. This vulnerability (CVE-2026-20896) allows an unauthenticated attacker to impersonate any user, including administrators.
Detects attempts to exploit the Log4Shell vulnerability (CVE-2021-44228) by monitoring HTTP headers for JNDI lookup strings. The rule inspects traffic for malicious patterns like '${jndi:ldap://', '${jndi:rmi://', or '${jndi:dns://', which are used to trigger remote code execution in vulnerable Java applications.
Detects unauthenticated POST requests directed at the '/accessv2' endpoint of an Azure Application Gateway originating from non-internal IP addresses. This behavior is associated with the exploitation of vulnerabilities like CVE-2026-8037.
Detects the execution of PowerShell with hidden window styles originating from a shortcut (.lnk) file. This behavior is commonly associated with malicious LNK files masquerading as PDF documents, often used as an initial access vector to launch stage-one payloads from temporary directories.
Detects the installation of known malicious npm packages designed to impersonate the legitimate 'rollup-plugin-polyfill-node' dependency. This pattern is associated with Lazarus Group supply chain attacks targeting developer environments and CI/CD pipelines.
This rule detects potential phishing activity by monitoring for the creation of specific PDF files matching common financial-themed lures and network connections to a known malicious domain 'facture-in.pages.dev'. It tracks file-based lure indicators on local devices and network requests to identify potential initial access or delivery stages of an attack.
Detects the execution of processes that display a fake password prompt masquerading as system utilities like Maccy or Finder. This behavior is indicative of credential phishing or a social engineering attempt to steal user credentials by prompting for a password under the guise of a system update or configuration change.
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.
Alerts on trust record modification within the registry, indicating usage of macros
This rule detects successful authentication attempts directed at network devices from sources not explicitly marked as authorized management systems. It identifies users or systems that are not recognized service accounts authenticating against network infrastructure and flags activity that involves multiple unique destination targets as high risk.
This rule identifies potential mass phishing campaigns by monitoring O365 email activity for high-volume outbound mail from newly registered or observed domains. It specifically flags senders that have no prior historical activity in the last 90 days, have a domain age of less than 30 days, and exhibit a low variation in email subjects across a large volume of recipients, which is characteristic of automated bulk phishing.
Detects browser processes (Chrome, Edge, Firefox, IE) being launched with a URL containing a crafted Microsoft 365 Copilot Search parameter (q=) with an unusually long command line. This pattern is indicative of potential exploitation attempts such as CVE-2026-42824 (SearchLeak), where attackers inject malicious payloads or HTML/script tags into the search query string to be processed by the browser.
This rule monitors for successful and failed user authentication events (Logon events 4624 and 4625) occurring on Saturdays or Sundays. It calculates a risk score based on the volume of authentication attempts and classifies the activity, providing visibility into potential off-hours credential misuse or insider threat scenarios.
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