Detections

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

3,989 detections

Detects HTTP beaconing activity indicative of Cobalt Strike Malleable C2 communication. The rule monitors for specific URI patterns ('/updates', '/pixel', '/submit.php') in combination with a default User-Agent string commonly used by Cobalt Strike malleable profiles.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
Detects the use of the HTTP CONNECT method on non-standard ports (8888, 9999, 4444). The CONNECT method is frequently used by HTTP proxies to establish TCP tunnels; unauthorized use of this method on uncommon ports is a common indicator of protocol tunneling used to bypass network egress filtering or for command and control (C2) communication.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
Detects outbound HTTP POST requests with specific URI patterns (/rob/ or /ins/) that are indicative of TrickBot malware command and control (C2) check-in activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
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.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
Detects TLS/SSL traffic patterns characteristic of Metasploit Meterpreter reverse HTTPS command-and-control communication, specifically targeting the use of default, self-signed certificates with a subject line containing a bare wildcard (CN=*) in the common name field, a common artifact of unconfigured Metasploit payloads.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
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.
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Ankit Mehta@Secvyn
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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.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
Detects network communication patterns indicative of RedLine Stealer activity by looking for specific keywords in the RemoteUrl field during inbound or outbound connections.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
104
Detects potential fileless execution of Meow RAT by monitoring process command lines for 'curl' fetching an AppleScript payload and piping it to 'osascript'. It also looks for specific Meow RAT indicators like C2 domains, payload names, and build hashes.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects the use of 'curl.exe' with command-line arguments indicating communication through a SOCKS5 proxy on localhost:9050 to a .onion address. This pattern is often associated with Tor network usage for anonymized communication, which can be leveraged by adversaries for command and control or data exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
103
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.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
005
This rule detects suspicious network connections to known infrastructure associated with the 'Borrowed Trust' gambling kit. It identifies connections to specific IP addresses, IP ranges, compromised subdomains, URLs containing affiliate referrer codes, known redirect destinations, and a unique favicon path. The rule specifically excludes connections originating from common browser processes to focus on non-browser initiated activity, which could indicate malware or other malicious software attempting to establish C2 or exfiltrate data.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects network communication with the Rokarolla trojan's command and control (C2) server ('beralisvc.info') and subsequent injection of base64-encoded HTML phishing overlays into legitimate banking application UIs. The rule identifies C2 contact via network events and the presence of specific HTML content indicators ('html_base64', 'PCFEt0NUWVBFIGh0bWw+', 'com.imaginbank.app') in HTTP responses, suggesting an overlay attack.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
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.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
Detects instances where common IDE-related processes (like VS Code, Amazon Q, or Node) spawn a shell to execute AWS CLI commands specifically focused on identifying the current caller identity using 'aws sts get-caller-identity' and 'curl'. This pattern often indicates attempts to verify compromised AWS credentials or discover account details from an environment.
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Ibrahim Saud@tektrix
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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.
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Ibrahim Saud@tektrix
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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.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects the execution of a malicious npm package ('@withgoogle/stitch-sdk') which uses scope-squatting to impersonate a legitimate library. The rule flags the execution of preinstall scripts that involve references to the malicious exfiltration domain 'stitch-production.org' or the identified maintainer 'maximus-mcmillan', indicating unauthorized credential harvesting.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects Node.js processes engaging in suspicious behaviors related to supply chain or second-stage attacks. This includes executing scripts from hidden .peer/ directories, accessing specific staging script filenames, and performing DNS requests or network connections to the known malicious domain data-stream.space.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
This rule detects a high volume of successful network connections to common web ports (80, 443, 8080, 8443) where the remote URL contains keywords like 'version' or 'software'. This pattern could indicate an adversary performing reconnaissance to identify installed software and their versions, potentially looking for vulnerabilities or specific applications to target. The threshold of 10 such activities within an hour for a single device is set to flag anomalous behavior.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
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