Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects potential data exfiltration activity where a host is communicating with the Telegram Bot API. The rule identifies high-frequency connections to api.telegram.org and inspects HTTP URIs for signs of Telegram Bot token usage combined with 'sendDocument' or 'sendPhoto' commands, which are common indicators of malicious exfiltration.
This rule monitors network traffic, DNS queries, and user web clicks to detect interactions with known malicious domains associated with credential harvesting and phishing campaigns, specifically those impersonating security or SSO portals.
Detects network connections from common web browsers to domains associated with the BragJack threat actor infrastructure. This activity potentially indicates an end-user accessing malicious sites used for credential harvesting, malware delivery, or C2 communication.
Detects browser activity where a user agent navigates to common webmail services (Gmail, Outlook) followed quickly by network traffic to potentially malicious external infrastructure or non-standard endpoints, suggesting unauthorized email content exfiltration.
Detects browser activity where a user agent navigates to common webmail services (Gmail, Outlook) followed quickly by network traffic to potentially malicious external infrastructure or non-standard endpoints, suggesting unauthorized email content exfiltration.
Detects browser activity where a user agent navigates to common webmail services (Gmail, Outlook) followed quickly by network traffic to potentially malicious external infrastructure or non-standard endpoints, suggesting unauthorized email content exfiltration.
Detects coordinated behavioral signals associated with the CVE-2025-25249 campaign, which deploys the PivotC2 Node.js RAT on FortiGate devices. The rule correlates anomalous inbound CAPWAP (UDP/5246) traffic, Node.js process execution, suspicious JavaScript file writes, and unauthorized access to Fortinet configuration files, followed by long-lived outbound TLS beacons to non-standard ports.
HBO Max ClickFix attacks IOC Hunt
Cortex XDR
Detects network activity (DNS queries or direct IP communication) associated with 'ClickFix' social engineering attacks targeting users under the guise of an HBO Max update or repair utility. The rule includes indicators for known malicious domains and IP addresses while incorporating filters to minimize false positives from security scanners, threat intel feeds, and automated crawlers by analyzing User-Agent strings and network source addresses.
Detects outbound network traffic from internal hosts to known MeshCentral Command and Control (C2) infrastructure. MeshCentral is legitimate remote monitoring and management (RMM) software that is frequently abused by threat actors to maintain persistent remote access to victim environments. This rule monitors for established TCP connections on specific ports associated with MeshCentral C2 nodes.
Detects outbound network traffic from internal hosts to known MeshCentral Command and Control (C2) infrastructure. MeshCentral is legitimate remote monitoring and management (RMM) software that is frequently abused by threat actors to maintain persistent remote access to victim environments. This rule monitors for established TCP connections on specific ports associated with MeshCentral C2 nodes.
This rule detects network connections and HTTP requests to known malicious URLs, including file downloads associated with C2 infrastructure and malware distribution campaigns. It monitors both direct device network events and HTTP requests logged through security product events to identify potential secondary-stage payload delivery.
Detects network requests to the Gitea Prometheus metrics API that contain 'k=' and 'x=' query parameters, a pattern indicative of a C2 command channel disguised as legitimate telemetry traffic.
Detects network requests to the Gitea Prometheus metrics API that contain 'k=' and 'x=' query parameters, a pattern indicative of a C2 command channel disguised as legitimate telemetry traffic.
Detects unauthorized exfiltration of sensitive information, such as camera credentials or location data, directed to the Telegram Bot API as part of the 'Operation CameraSwarm' campaign.
Detects network activity associated with the EtherHiding technique, where adversaries leverage the Polygon blockchain to resolve command-and-control (C2) infrastructure and communicate with malicious smart contracts. This rule identifies specific JSON-RPC requests ('eth_call') using SloppyRAT contract selectors and DNS queries for blockchain-related RPC endpoints.
Detects artifacts, domains, and web content associated with the Rapuncel MaaS phishing campaign. The rule specifically targets HTML/JS markers from fake LastPass Authenticator GitHub Pages sites, which employ social-engineering tactics such as fake trust badges and malicious download prompts to distribute the Rapuncel infostealer.
This rule detects potential command and control (C2) activity associated with the CurlRAT malware. It monitors for both the execution of 'curl' or 'curl.exe' processes with command lines containing known C2 domains, and network traffic originating from internal devices directed toward those same domains.
This rule detects potentially malicious interaction with specific GCP service account identifiers and client IDs. It monitors multiple log sources—including cloud audit logs, sign-in activity, security logs, and device network events—to identify unauthorized access, command and control communication, or data exfiltration attempts targeting Google API services (specifically oauth2.googleapis.com and sheets.googleapis.com).
Detects network activity and HTTP request headers associated with the GhostCode phishing kit. The rule identifies specific URI patterns, custom site keys, malicious User-Agent strings, and session cookie artifacts indicative of interaction with a phishing server.
This rule detects internal network activity (DNS queries, network connections, and security logs) communicating with domains associated with the GhostCode phishing kit. These domains are typically used to host credential harvesting pages or phishing infrastructure.
Detects network activity and HTTP request headers associated with the GhostCode phishing kit. The rule identifies specific URI patterns, custom site keys, malicious User-Agent strings, and session cookie artifacts indicative of interaction with a phishing server.
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