Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
408 detections
Filters
Last updated
All Time
Detection languages
405
2
1
Contributors
144
114
48
39
36
Categories
281
276
132
105
60
Platforms
381
25
16
7
5
Products / Services
388
318
30
5
4
MITRE Techniques
174
103
44
30
28
CVEs
4
1
1
IDS Classtypes
201
121
21
19
14
IDS Protocols
2,431
868
408
324
97
Detects network communication with 10729e014d0e.skyleen.fr, associated with the SCKIT malware downloading binaries during CI/CD emitter activities. This rule flags potential ingress tool transfers as part of a supply chain compromise campaign identified as 'memos-semi-nuclear'.
This rule detects network activity associated with the Sauron Loader malware. It monitors for TLS connections to known hardcoded C2 domains and identifies HTTP requests following a specific pattern of randomized command and control (C2) paths combined with suspicious User-Agent headers (Windows NT with Edge/Edg).
Detects incoming TLS traffic from an external network where the TLS server certificate's Subject Common Name (CN) field matches 'AsyncRAT Server'. This pattern is a known indicator of a beaconing session initiated by AsyncRAT remote access trojan servers.
Detects network traffic attempting to connect to common public DNS-over-HTTPS (DoH) providers (Cloudflare, Google, Quad9) via TLS SNI or HTTP headers. This activity is often associated with malware or malicious agents attempting to bypass traditional DNS monitoring for command and control (C2) communication.
Detects network activity associated with the NeedyMantis malware, including TLS SNI traffic to its hard-coded C2 domain, initial beaconing over HTTPS to specific paths, and potential exfiltration or reconnaissance markers in the server's Set-Cookie header response.
Detects network activity associated with the NeedyMantis malware, including TLS SNI traffic to its hard-coded C2 domain, initial beaconing over HTTPS to specific paths, and potential exfiltration or reconnaissance markers in the server's Set-Cookie header response.
Detects network traffic from mobile devices to the Google Gemini API (generativelanguage.googleapis.com) specifically targeting the 'generateContent' endpoint. This behavior is indicative of mobile malware (e.g., RatHat/PromptSpy) that may be utilizing AI-assisted UI-automation, potentially to exfiltrate screen content or automate malicious interactions by processing visual layout data through a generative model.
Detects network traffic from mobile devices to the Google Gemini API (generativelanguage.googleapis.com) specifically targeting the 'generateContent' endpoint. This behavior is indicative of mobile malware (e.g., RatHat/PromptSpy) that may be utilizing AI-assisted UI-automation, potentially to exfiltrate screen content or automate malicious interactions by processing visual layout data through a generative model.
Detects network connections to known public DNS-over-HTTPS (DoH) resolvers, specifically cloudflare-dns.com and dns.google, as well as non-browser processes performing HTTPS requests to these IPs. Such traffic patterns are often indicative of Command and Control (C2) communication utilizing DoH to bypass network-level DNS filtering and monitoring.
Detects network connections to known public DNS-over-HTTPS (DoH) resolvers, specifically cloudflare-dns.com and dns.google, as well as non-browser processes performing HTTPS requests to these IPs. Such traffic patterns are often indicative of Command and Control (C2) communication utilizing DoH to bypass network-level DNS filtering and monitoring.
Detects outbound network traffic (TLS SNI and HTTP requests) directed to the Telegram Bot API endpoint. This behavior is often associated with malware using Telegram as a command-and-control (C2) channel or for the exfiltration of stolen data, credentials, or sensitive information.
Detects network activity associated with a phishing campaign leveraging Cloudflare Workers, identified as 'ARToken'. The rules monitor for specific TLS SNI patterns, HTTP Host headers, and subsequent C2-like behavior involving device code authentication flows (api/device/start and api/device/poll) hosted on 'workers.dev'.
This rule detects network connections (TLS SNI and HTTP requests) to domains associated with the AnonyMousKIT PhaaS (Phishing-as-a-Service) platform. It flags connections to known phishing backend domains and monitors for access to suspicious management dashboard paths commonly utilized by this threat actor for managing phishing orders and communications.
Detects network traffic consistent with the XMRig cryptocurrency mining tool communicating with a Monero mining pool via TLS. The rule identifies specific SNI domains and direct connection attempts to known proxy IP addresses associated with cryptomining activities.
Detects network activity associated with the 'VPN-for-X' browser extension, specifically targeting communication with external services used for proxy configuration fetching and dead-drop proxy list retrieval. This includes TLS SNI checks for GitHub, Blogspot, and Telegram, as well as specific URI requests for proxy configurations and server lists.
Detects network traffic to specific domains (api.hhos.ru, mainapi.store) associated with the VPN-for-X browser extension's monetization API. This behavior is indicative of command-and-control or tracking communication identified as potentially malicious within the context of a browser extension.
Detects network activity associated with NetSupport Manager remote access software, specifically monitoring for connections to known malicious domains and infrastructure, as well as recurring beaconing patterns indicative of command-and-control behavior.
This rule detects network communication to known malicious IP addresses or sessions utilizing TLS certificates that impersonate the Uzbekistan railway authority (azure.uzrailwaystax). This behavior is characteristic of the SpiceRAT/NodeEdgeRAT malware families, which use these specific certificates to establish Command and Control (C2) channels.
Detects network traffic involving TLS certificates or Server Name Indication (SNI) values that attempt to impersonate the Uzbekistan state railway authority (azure.uzrailwaystax.com). The rules also flag connections associated with certificates issued by 'TLC DV TLS CA' and known C2 infrastructure using the spoofed railway certificate.
Detects Xray-core C2 tunnel traffic where the TLS SNI is spoofed to appear as 'dl.google.com'. The detection specifically looks for this behavior originating from non-browser processes such as 'wkspbroker.exe' or 'radcui.dll', which is indicative of malicious tunneling activity.
This rule monitors outbound TLS traffic to detect communication with public Slack or Telegram webhook APIs, which are commonly abused by malware or malicious Node.js/npm packages for data exfiltration or command-and-control (C2) operations.
Page 4 of 20

