Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,154 detections
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Detects anomalous ICMP traffic patterns, specifically ICMP Echo Request packets with unusually large payload sizes (dsize > 64) and specific byte signatures consistent with known ICMP tunneling tools such as icmpsh or ptunnel, which are used to establish covert C2 channels.
Detects HTTP traffic patterns characteristic of Emotet malware command and control (C2) beaconing, specifically looking for POST requests with random alphanumeric URIs (4-16 characters) and a specific Accept-Encoding header (gzip, deflate).
This rule detects ICMP Echo Request (type 8) packets with an unusually large payload (greater than 64 bytes). Such anomalies often indicate that an adversary is using ICMP as a covert channel for command-and-control (C2) communications or data exfiltration, by embedding arbitrary data within the ICMP payload fields.
This rule detects potentially malicious DNS traffic where queries contain exceptionally long, encoded, or randomized subdomains. Attackers often use these patterns to exfiltrate data from a target network, bypassing traditional security controls by encapsulating information within DNS requests (DNS tunneling). The detection looks for DNS queries exceeding 100 bytes in length with specific character patterns indicative of Base64 or similar encoding.
This rule detects DNS queries for domains that mimic legitimate package registry domains (such as PyPI, npm, etc.) using common typosquatting or lookalike patterns often exploited for dependency confusion or supply chain attacks. It identifies when systems reach out to domains attempting to impersonate trusted package management services.
Detects suspicious patterns of LLM API usage by monitoring outbound traffic to major LLM providers (OpenAI, Anthropic, Google, DeepSeek, Mistral, Cohere). The rule identifies potential API key theft ('LLMjacking') by flagging high request volumes from single keys, usage of the same key across multiple distinct source IP addresses, and direct outbound traffic bypassing established proxy/gateway configurations.
The rule identifies potential network scanning or probing activity by detecting a high frequency of network connection attempts (3 or more within a 1-minute window) directed at a specific remote port, 1313. This port is often associated with non-standard services or custom applications and may indicate reconnaissance or unauthorized service discovery.
Detects web proxy traffic containing links to lookalike recruitment portals using specific typosquatting suffixes (e.g., .com.de) and URL paths (/careers/auth). These patterns are linked to UNC1549, an adversary identified as targeting aerospace and defense organizations with fake React-based recruitment lures.
This rule detects DNS queries for the domain 'teledyneflir.com.de', which is known to be used by the threat actor UNC1549 as a fake recruitment portal to conduct phishing campaigns impersonating the Teledyne FLIR careers site.
This rule detects unauthorized or unauthenticated WebSocket handshake attempts targeting the Peyara Remote Mouse service on TCP port 1313. The detection looks for specific URL patterns characteristic of the Socket.IO protocol (EIO=4, transport=websocket) that indicate an attempt to establish a connection with the vulnerable service without proper credential exchange.
Identifies network connections to known ShinyHunters IP addresses or domains associated with the recent Oracle PeopleSoft exploitation campaign. This rule monitors both endpoint network events and perimeter firewall/proxy logs for outbound communication to the specified malicious infrastructure.
This rule detects attempts to exploit CVE-2024-36401, a critical remote code execution vulnerability in GeoServer. The rule monitors inbound HTTP requests to GeoServer OWS or WFS endpoints for malicious patterns consistent with OGC filter expression injection, such as attempts to invoke Java Runtime process execution via crafted property names or OGC expressions.
Detects network communication associated with BeepRAT malware, specifically targeting hardcoded TCP connections to destination port 18848 and ICMP packets containing the string 'BEEP', which are used for C2 communication and keepalive signals.
Detects potential HTTP Request Smuggling via nghttpx, where an HTTP/1.1 Upgrade request containing a Content-Length header is followed by a subsequent request within a short time window on the same backend connection. This pattern indicates a potential attempt to route poisoned responses to a victim client reusing the keep-alive connection.
Detects network requests to a typosquatted domain 'perplexity-ai.online' initiated by a malicious browser extension. The extension uses the 'suggest_url' feature to exfiltrate keystrokes typed into the browser omnibox in real-time, effectively performing browser-based keylogging.
This rule identifies suspicious outbound network beaconing by analyzing flow statistics for consistency in interval and payload size. It flags processes that demonstrate periodic communication (heartbeats) to external endpoints on non-standard ports. The detection logic calculates a 'beacon_score' based on the consistency of the communication interval, small average payload sizes, low variance in payload sizes, and the number of connections. Additional weighting is applied to connections made by typically non-network processes (e.g., svchost, explorer, wscript) or those connecting to ports associated with known malware like SystemBC.
Detects suspicious network activity from common scripting and runtime environments (Python, Node.js) that communicate with known blockchain-related infrastructure (e.g., Tron, Aptos). The rule flags processes that establish connections to multiple distinct external IP addresses while querying these specific domains, which may indicate cryptocurrency mining, wallet-stealing malware, or unauthorized distributed computing activity.
High-velocity ransomware-as-a-service with aggressive leak-site extortion
Rust-based ransomware family targeting enterprise environments
Rust-based ransomware family targeting enterprise environments
Detects SSH, SFTP, or SCP connections originating from internal edge appliances such as pfSense firewalls or Synology NAS devices directed at internal network hosts. This activity is consistent with VerdantBamboo BRICKSTORM lateral movement, where compromised edge infrastructure is leveraged as a pivot point to gain access to the internal network.
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