Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network activity associated with the 'ClickFix' social engineering campaign, which commonly targets users with fake error messages to trick them into executing malicious commands. The rule identifies communication with known malicious infrastructure (domains and IP addresses) found in CommonSecurityLog events, while implementing filters to exclude common security scanners and deduplicating per-host alerts.
Detects network requests to specific GitHub, Blogspot, and Telegram endpoints, which are known to be used by the 'VPN-for-X' extension to fetch proxy configuration files. This behavior is indicative of C2 channel configuration retrieval.
Detects HTTP GET requests for the path '/wmglb', which is indicative of a SectopRAT stage-two module download (specifically WbElevation.dll) from a Command and Control server.
Detects HTTP POST requests directed to the URI path '/api/credentials' over the non-standard TCP port 8133, which is indicative of AMOS (Atomic macOS) Stealer exfiltrating stolen credentials to a C2 server.
Detects an AI agent or automated process that accesses sensitive data sources (such as vaults, databases, or documentation platforms) followed by an outbound HTTP POST request to known high-risk SaaS or web services (e.g., paste sites, file sharing, or webhook services) with a suspicious or large payload.
Detects anomalous, high-volume HTTP requests to AI agent orchestration endpoints (e.g., tool invocation, plugins, or webhooks) followed by suspicious process execution or outbound network connections from the same host. This behavior is indicative of RCE exploitation against an AI agent framework, such as insecure deserialization or SSRF within a plugin connector.
Detects clicks on sponsored search engine ads that redirect users to Google Cloud Storage (GCS) buckets with names or paths designed to impersonate the 'Ledger' brand. These artifacts are indicative of a malvertising campaign using typosquatted storage paths to deliver malicious payloads or credential harvesting pages.
Detects activity from known Storm-3168 (JADEPUFFER) campaign IP addresses across Azure control-plane, sign-in, and App Service logs. The rule monitors for malicious indicators in Azure Activity logs, Azure Sign-in logs, and Service Principal sign-ins, as well as specific sensitive URI paths (e.g., shells, admin login paths) within App Service HTTP logs.
This rule detects reconnaissance activity targeting Azure App Service instances, specifically looking for attempts to access web-shell-like files, WordPress administration paths, PHP-CGI endpoints, or LangFlow code validation paths. It identifies potential Storm-3168 actor infrastructure through known IOCs or through patterns of high-volume, path-diverse HTTP requests that deviate from typical noise, helping to distinguish targeted probing from common internet background scanning.
This rule detects high-frequency HTTP GET requests containing abnormally long Base64-encoded strings within the URI. This pattern is often indicative of automated payload assembly or exfiltration where data is fragmented across multiple requests, or the use of URL-shortener services to facilitate C2 communication.
Detects network activity (TCP, DNS, TLS, HTTP) associated with the UNC6240 threat actor's infrastructure, specifically targeting communications with known malicious IP addresses and domains used in a campaign leveraging PeopleSoft-related lures.
This rule detects potential exploitation of the Oracle PeopleSoft PSEMHUB component vulnerability (CVE-2026-35273). It identifies suspicious POST requests to the PSEMHUB HttpListeningConnector servlet, including obfuscated URL paths, followed by the creation of suspiciously named .jsp or .jspx files in the PSEMHUB.war application directory, which is indicative of a web shell deployment.
This rule detects potential exploitation of the Oracle PeopleSoft PSEMHUB component vulnerability (CVE-2026-35273). It identifies suspicious POST requests to the PSEMHUB HttpListeningConnector servlet, including obfuscated URL paths, followed by the creation of suspiciously named .jsp or .jspx files in the PSEMHUB.war application directory, which is indicative of a web shell deployment.
Detects network, HTTP, and DNS activity associated with the known three-tier delivery infrastructure (phishing sites, relay/dispatcher servers, and payload hosts) used by the threat actor UNC6671/SilverFox/Aurora. The rule distinguishes between high-confidence confirmed connections and low-confidence DNS-only events.
Detects network activity associated with the LONGTALE malware family (attributed to APT31/JungleBamboo). This includes identification of specific malicious browser extension IDs in HTTP traffic and signature-based detection of periodic HTTPS/HTTP beaconing patterns indicative of session or cookie exfiltration.
Detects network activity associated with the NeedyMantis malware, specifically identifying C2 beaconing behavior. The rule looks for HTTPS GET requests to specific URI paths ('/library/zip/') with a WebSocket upgrade header and suspicious cookie patterns, as well as TLS SNI traffic targeting the hardcoded domain 'corp.tripswithengine.com'.
Detects HTTP beaconing and WebSocket command-and-control (C2) communication associated with the AgtaBackup RAT. This includes identifying specific check-in URIs, hardcoded 'X-Agent-Secret' header authentication, and the initialization of a WebSocket connection.
Detects network requests to known domains (acrobat-reader-installer.com, 03webzoominvite.us) masquerading as Microsoft Store resources to deliver malicious MSI installers. This activity is associated with RMM-based RAT deployment chains.
This rule detects network traffic originating from internal hosts to the domain 'msfconfig.icu'. It specifically monitors for GET requests to '/tmp/system.txt' and TLS connections using the same domain as an SNI, which are associated with the delivery of ClickFix XMRig miner payloads.
This rule detects HTTP GET requests to Vercel subdomains targeting a specific path (/secure.html). This behavior is characteristic of phishing campaigns, specifically those masquerading as RMM-related lures to trick users into providing access codes or credentials.
Detects anomalous network traffic associated with Vidar Stealer 2.0, where an HTTP GET request for a .jpg file is directed to a bare IP address, and the server's response header fails to indicate an image content type despite the requested file extension.
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