Detections

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

2,146 detections

Detects anomalous device network activity involving 5G-specific protocol ports (e.g., GTP-U, SIP). The rule aggregates unique port usage per device over 1-hour intervals to identify potential network reconnaissance, scanning, or unauthorized control plane communication.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
004
Detects potential lateral movement activity where PowerShell or the Windows Remote Management (WinRM) host process (wsmprovhost.exe) initiates network connections to multiple distinct destination IP addresses over the WinRM default ports (5985/5986). This behavior is characteristic of an adversary using legitimate remote administration tools to pivot or spread across a network.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
101
Detects DNS queries with exceptionally long request strings (30 characters or more), which is a common indicator of DNS tunneling or command and control (C2) communication. Adversaries often encode data within the subdomain portion of a DNS query to bypass network security controls.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
This rule detects pre-payload beaconing activity associated with the Meow RAT malware. It covers both network-based detection (outbound HTTP POST to known C2 domains and paths) and endpoint-based detection. Endpoint detection includes 'curl' processes communicating with known C2 infrastructure, 'osascript' processes spawned in the context of 'curl' C2 communication, and 'curl' commands using specific flags ('-k', '-s') along with a known build hash. This activity typically occurs before the main destructive payload is delivered.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
006
Detects processes attempting to query the Cloud Instance Metadata Service (IMDS) endpoint (169.254.169.254) that are not recognized as legitimate cloud agent software (such as AWS, Azure, or Google cloud agents). This behavior is often indicative of SSRF or unauthorized discovery attempts by an adversary on a compromised cloud instance.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
103
Detects processes attempting to query the Cloud Instance Metadata Service (IMDS) endpoint (169.254.169.254) that are not recognized as legitimate cloud agent software (such as AWS, Azure, or Google cloud agents). This behavior is often indicative of SSRF or unauthorized discovery attempts by an adversary on a compromised cloud instance.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
003
This rule detects network connections on port 443 made to common public DNS resolvers (1.1.1.1, 8.8.8.8, 8.8.4.4, 9.9.9.9, 149.112.112.112) by processes other than known web browsers. This behavior is atypical for standard endpoint processes and may indicate the use of DNS-over-HTTPS (DoH) for command and control or data exfiltration to bypass network filtering.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects a single host serving materially different status codes, body sizes, or redirects to automated user agents (bots, crawlers, scanners, curl, wget, headless browsers, python, go-http) compared to normal browsers. This behavior can indicate an Adversary-in-the-Middle (AiTM) attack where the adversary is attempting to serve different content to different user agents to evade detection or deliver malicious payloads.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
1010
Identifies outbound C2 connections to domains generated by MLTBackdoor DGA.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
004
Detects EvilTokens phishing kit gate check requests to /api/device/gate/ used to identify and burn phishing pages for security researchers
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
104
This rule detects potential cleartext leakage of usernames and passwords over FTP (port 21) by identifying HTTP requests containing common credential-related keywords in the URL, while explicitly excluding HTTPS traffic. This could indicate sensitive information being transmitted insecurely.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
405
Detects anomalous web session traffic that proxies enterprise authorization endpoints (e.g., oauth, saml, login) while simultaneously interacting with session-related cookies. This behavior is indicative of an Adversary-in-the-Middle (AiTM) proxy setup used to capture session tokens and bypass authentication.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
004
This rule detects network communication (connections, DNS queries, or proxy logs) between endpoints and a list of known malicious domains and IP addresses associated with Mistic and Woodgnat/KongTuke threat families. It identifies these activities across network event logs, DNS queries, and security logs.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects network events where FTP (port 21) traffic contains specific timestamp-like patterns in the RemoteUrl, which could indicate an attempt to exploit the Squidbleed vulnerability related to timestamp-to-filename parsing anomalies. The rule looks for 'LIST' command combined with '12:34:56', '2026-', or 'timestamp' in the URL.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
005
This rule detects anomalous DNS query activity that may indicate command and control (C2) or data exfiltration over the DNS protocol. It monitors for three specific indicators: excessive query volume to a single domain family within a short timeframe, the use of abnormally long DNS subdomain labels, and the transmission of TXT record queries from endpoints not acting as designated DNS servers.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects a single host making Zulip REST API POST requests to multiple distinct topics, specifically looking for patterns associated with system profiling and command/tasking as observed in ZiChatBot. The rule identifies activity where a source IP uses the Zulip API to send messages to at least two different topics, with the raw request content indicating either 'channel/stream' and 'topic/subject' or keywords like 'system info', 'shellcode', 'task', or 'command'.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
009
This rule monitors for network connections to a specific remote IP (62.171.185.97) associated with suspicious activity. It flags connections involving specific high-risk ports, the use of Wget/1.18 for user agents, or access to the '/pwned' URL path, which are common indicators of automated attack tools or post-exploitation activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
103
Detects potential Windows executable or DLL file downloads originating from or directed to a specific suspicious external IP address (154.49.70.216) over HTTP port 80, based on signature-based alerts from network security tools.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects HTTP responses that utilize JavaScript Web Crypto API (subtle.importKey, subtle.decrypt) or AES-GCM encryption in conjunction with data decoding functions (atob, Uint8Array.from). This behavior is characteristic of malicious landing pages, such as those used by ErrTraffic ClickFix and EvilTokens campaigns, which encrypt payloads to evade static analysis by security tools.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects outbound HTTPS traffic from a web server to api.telegram.org. This pattern is indicative of the Montana Empire phishing kit using the Telegram Bot API for command and control (C2) communication, allowing the adversary to exfiltrate stolen data or receive instructions.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
000
Detects network connections from a host to the api.adblock-for-youtube.com domain at the /api/v2/rules endpoint. This behavior is associated with the 'Adblock for YouTube' browser extension (cmedhionkhpnakcndndgjdbohmhepckk) as it retrieves remote JavaScript scriplets for rule updates, which can be a vector for unauthorized code execution if the domain is compromised or used maliciously.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
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