Detections

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

5,876 detections

Detects instances where a process, other than standard browsers or common system applications, loads 'WINHTTP.dll' and subsequently initiates outbound HTTPS connections. This behavior is often indicative of custom malware or specialized tooling, such as the NUKESPED/Kimsuky framework, using direct API calls for command and control (C2) communication to bypass standard application-based network filtering.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
002
This rule identifies potential use of the Tor network by detecting network connections to common Tor relay ports (9001, 9030, 9050, 9051, 9150) that are external to internal subnets, or by identifying DNS requests for .onion domains.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
002
Detects network connection attempts directed toward RFC 1918 private IP address spaces (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16) and localhost (127.0.0.0/8) that do not involve common Windows file sharing ports (TCP/445 and TCP/139). This behavior may indicate lateral movement, internal reconnaissance, or the use of non-standard protocols for internal communication.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
002
Detects high-volume outbound network connections (exceeding 10MB) originating from processes associated with AI-driven chatbot or productivity applications (e.g., ChatGPT, Perplexity). This rule identifies potential data exfiltration occurring over legitimate, expected software channels.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
002
Detects unusual processes making multiple connections to Google Sheets or OAuth2 APIs within a short timeframe, excluding known browsers and Google applications. This could indicate unauthorized data access, exfiltration, or command and control activity.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
2011
Detects the DRAYN malware which masquerades as a VSCode or Microsoft installer. The rule looks for a silent 7ZipSfx installation that drops a temporary file (agent.tmp), performs C2 communication over WebSockets to a specific IP address (34.244.31.76), and establishes persistence via a RunOnce registry key using a modified vcredist_x86.exe execution.
avatar
Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
008
Detects instances where the Local Security Authority Subsystem Service (lsass.exe) initiates a network connection to the loopback address (127.0.0.1 or ::1), excluding standard SMB traffic (Port 445). Such behavior by LSASS is highly anomalous and may indicate exploitation attempts, such as memory dumping or credential harvesting techniques involving inter-process communication.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule detects outbound HTTP traffic generated by the WinHTTP library, specifically when the User-Agent identifies as WinHttp.WinHttpRequest. This pattern is indicative of potential post-exploitation activity, such as command-and-control communication or data exfiltration, originating from a process associated with an exploited Excel document (CVE-2025-60727).
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects abnormally long DNS queries characterized by repetitive alphanumeric patterns, which may indicate potential DNS tunneling activity used for C2 communication or data exfiltration. The rule flags DNS requests exceeding 60 characters with repeating label structures.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
003
This rule identifies network connections (DNS queries, HTTPS/WebSocket traffic) directed toward known suspicious domains associated with potentially malicious C2 infrastructure.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
002
Detects anomalous network communication patterns and file system changes indicative of SoftEther VPN usage, particularly when linked to processes masquerading as VMware or communicating with known malicious C2 infrastructure. The rule monitors for network connections on common SoftEther ports, connections to specific command-and-control IP addresses, and the creation of SoftEther configuration files like 'hamcore.se2' or 'vpn_bridge.config'.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule detects outbound FTP traffic containing the 'STOR' command, which is used in the FTP protocol to upload files to a remote server. This behavior is a common indicator of unauthorized data exfiltration.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects the initial handshake communication pattern associated with AsyncRAT, characterized by a specific base64-encoded configuration blob sent to external non-standard ports (6606, 7707, 8808) as identified by the Snort rule logic.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule monitors for FTP 'STOR' commands followed by large data transfers (exceeding 64KB) initiated from internal hosts to external destinations. This pattern is often indicative of data exfiltration using the File Transfer Protocol (FTP).
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects outbound HTTPS traffic on high ports where the TLS SNI header consists of a 8-20 character random alphanumeric string. This pattern is indicative of default configurations for Metasploit Meterpreter Reverse HTTPS payloads attempting to establish a Command and Control connection.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects outbound HTTP POST requests to external networks that match a known Emotet C2 traffic pattern. The rule specifically looks for HTTP POST requests using an 'application/x-www-form-urlencoded' Content-Type and a URI structure consisting of randomized alphanumeric segments (4-20 characters long). This structure is characteristic of Emotet's communication with its command-and-control infrastructure.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
002
Detects outbound HTTP POST requests where the Content-Length header indicates a transfer size exceeding 10MB to external (non-HOME_NET) addresses. This pattern is indicative of potential data exfiltration via HTTP.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
002
Detects outbound HTTP POST requests characteristic of QakBot malware command and control (C2) activity. The rule identifies a specific combination of a hardcoded User-Agent string ('Trident/7.0') and a URI pattern consisting of 4 to 32 alphanumeric characters ending in .php.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
102
Detects HTTP GET requests originating from internal network hosts to external destinations that match known Emotet C2 communication patterns, specifically those using hardcoded URI paths such as '/wp-content/', '/wp-admin/', or '/tmp/' combined with the 'Accept-Encoding: identity' header.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
002
Detects outbound HTTPS traffic on non-standard ports that matches a specific JA3 fingerprint associated with the Sliver command and control framework. This indicates potential beaconing or C2 communication from a compromised host.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
002
Detects outbound HTTP POST requests where the Content-Length is at least 10MB and the Content-Type header indicates the transfer of archived data (zip or x-tar). This pattern is often associated with the staging and exfiltration of compressed sensitive data from an internal host to an external network destination.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
4 months ago
002
Page 190 of 280