Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

5,879 detections

This rule detects potential command and control (C2) activity related to the Qakbot malware. It specifically monitors for established outbound TLS traffic over non-standard ports (ports other than 443) where the Server Name Indication (SNI) field contains a numeric IPv4 address instead of a domain name, which is a characteristic behavior of Qakbot C2 infrastructure.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
000
Analyzes HTTP network events to detect the Komari agent executing HTTP POST requests with large data payloads, indicating data exfiltration. This rule specifically looks for HTTP POST requests combined with recent file access events for common archive file types (zip, rar, 7z, db) on the same device and by the same initiating process.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
005
Detects outbound HTTP POST requests characterized by a specific URL pattern consisting of two segments of 4-16 alphanumeric characters, typically observed in Emotet C2 traffic. The rule specifically matches requests with a Content-Type header set to application/octet-stream, which is indicative of malicious binary payload transfer or communication.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
000
This rule detects network traffic originating from internal hosts to external destinations consistent with default Cobalt Strike HTTP Beacon communication patterns. It specifically looks for GET requests containing URI paths commonly associated with default Cobalt Strike profiles (ca, submit.php, updates.rss) combined with a specific, hardcoded User-Agent string associated with Cobalt Strike's default configuration.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
000
Maps the TiFlux agent initiating outbound SMB (port 445) connections to other local administrative shares, indicating active lateral movement.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
105
Identifies Node.js or IDE-related processes initiating connections to the Solana mainnet RPC endpoint. This behavior is associated with GLASSWORM's WASM loader performing dead-drop C2 resolution via blockchain transaction memos.
avatar
Ethan Andrews@eandrews
avatar
Federal Signal Detections
5 months ago
3016
Identifies mstsc.exe initiating outbound TCP connections to external, non-private IP addresses over port 3389, indicating a potential connection to an attacker-controlled Terminal Server.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
605
Detects the use of 'curl.exe' with specific command-line arguments indicating a SOCKS5 proxy connection to 'localhost:9050' and a request to '/recvf.php'. This pattern is often associated with malware or adversary activity attempting to exfiltrate data or establish C2 communications through a local SOCKS proxy, potentially part of a multi-hop proxy chain.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
103
Detects potential data exfiltration attempts initiated by 'explorer.exe' over common third-party services or protocols such as Telegram, Discord webhooks, FTP, or SMTP. This rule specifically looks for network connections made by 'explorer.exe' to known exfiltration channels, which is unusual behavior for the Windows Explorer process.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
303
This rule detects outbound network connections from the internal network to external hosts on specific ports (2404, 37393) that are known to be used by the Remcos Remote Access Trojan (RAT) for command and control (C2) communications. The rule is designed to identify established TCP connections to the server.
avatar
Duo Tech@duotech
avatar
Detections.ai Community
4 months ago
005
This rule detects network connections from internal hosts to identified C2 or phishing infrastructure associated with the threat actor group UNC1151 (also known as Ghostwriter). It monitors both host-based network events (via DeviceNetworkEvents) and centralized network security logs (via CommonSecurityLog) for traffic targeting a curated list of known malicious IP addresses.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
000
Detects network connections to Bunny CDN infrastructure that contain common URL path indicators associated with phishing, a technique observed in activity attributed to UNC1151 (Ghostwriter).
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
000
Detects suspected malicious activity associated with the Dropping Elephant threat group. The rule monitors for two behaviors: 1) IP address geolocation fingerprinting by identifying non-browser processes communicating with ipify.org and ip2c.org within a 60-second window, and 2) Direct network connections to known Dropping Elephant C2 domains, specifically gcl-power.org and chinagreenenergy.org.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
000
Detects phishing attempts leveraging legitimate service redirectors such as Calendly and Google share URLs to deliver malicious photo-themed ZIP archives. The rule identifies suspicious redirect chains to Cloudflare-hosted (.cfd) domains and monitors for specific ZIP filename patterns commonly used in these campaigns to target the hospitality sector.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
001
This rule identifies endpoints making network connections to a set of known suspicious or malicious IP addresses. It aggregates the number of connections and the variety of processes initiating these connections, allowing analysts to identify potential command and control (C2) communication patterns from compromised hosts.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
001
Detects network communication with known malicious IP addresses or URLs associated with the 'govtop.one' infrastructure, which is commonly indicative of command and control activity or malware beaconing.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
001
Detects anomalous svchost.exe behavior involving the use of libjpeg-turbo compression function symbols in the command line, alongside potential C2 communication with a known suspicious domain (kkxqbh.top) or connection over non-standard ports, which may indicate malicious exfiltration or data staging.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
001
Detects anomalous network activity originating from 'NearShareReceive.exe' (Windows Near Share) to public IP addresses on non-standard ports, potentially indicating unauthorized use of the Near Share feature for data staging or exfiltration.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
000
This rule detects network connections on TCP ports 7000, 7001, 8770, and 5353 (commonly associated with Apple services like AirPlay, AirPrint, and Bonjour) initiated by processes other than standard Apple binaries such as iTunes, AppleMobileDeviceService, Bonjour, or mDNSResponder. This behavior may indicate an attempt to blend into expected network traffic by masquerading as legitimate Apple service communication.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
000
Detects outbound network connections initiated by common CLI tools (curl, wget, python, node) when spawned as child processes of an IDE or extension host (e.g., VS Code). This pattern is indicative of potential AWS credential exfiltration where an adversary manipulates IDE configurations (like .amazonq/mcp.json) to execute unauthorized network requests containing AWS secrets.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
001
This rule detects successful outbound network connections from an endpoint to a known Tor directory authority IP address. Establishing a connection to these authorities is a strong indicator that the system is attempting to join the Tor network or is interacting with Tor infrastructure, which may be unauthorized in enterprise environments.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
000
Page 223 of 280