Detections

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

3,989 detections

Detects Rust-compiled executables exhibiting C2-capable characteristics consistent with backdoors dropped on compromised JFrog Artifactory servers
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
002
Detects Rust-compiled executables exhibiting C2-capable characteristics consistent with backdoors dropped on compromised JFrog Artifactory servers
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
002
Detects Rust-compiled executables exhibiting C2-capable characteristics consistent with backdoors dropped on compromised JFrog Artifactory servers
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
002
Detects periodic heartbeat beaconing activity to the domain 'tt.yeyoujs.com' over both encrypted TLS (SNI observation on port 9443) and DNS queries. This pattern is indicative of a command-and-control (C2) channel establishing or maintaining persistence.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
005
This rule detects network traffic (DNS, TLS, HTTP, and TCP) originating from internal assets to known infrastructure associated with the QTFY proxy botnet/C2 framework. It identifies communication with specific C2 domains, proxy management systems, and associated malicious IP ranges.
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Arnold Chan@slaz
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Hunters
2 months ago
001
Detects outbound network traffic to the Telegram Bot API characteristic of malware command and control (C2). This rule specifically identifies Python-based requests using the 'python-requests' user agent performing common Telegram API operations (getUpdates, sendDocument, sendPhoto, getFile) typical of C2 frameworks like HEAVYGRAM or CHOSEN BRICK.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
000
Detects outbound network traffic to the Telegram Bot API characteristic of malware command and control (C2). This rule specifically identifies Python-based requests using the 'python-requests' user agent performing common Telegram API operations (getUpdates, sendDocument, sendPhoto, getFile) typical of C2 frameworks like HEAVYGRAM or CHOSEN BRICK.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
Detects network activity associated with the KREMLIN browser extension communicating with a known command and control domain (luizestrelhashapr.online). The rule monitors DNS queries, TLS SNI connections, and HTTP WebSocket upgrade requests to identify potential C2 communication.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
000
Detects network activity associated with the KREMLIN browser extension communicating with a known command and control domain (luizestrelhashapr.online). The rule monitors DNS queries, TLS SNI connections, and HTTP WebSocket upgrade requests to identify potential C2 communication.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
Detects outbound HTTP GET requests to a specific C2 domain 'luizestrelhashapr.online' masquerading as CSS file fetches. The request pattern uses a specific path '/google_api/' followed by predefined alphanumeric filenames, consistent with the KREMLIN malware browser extension's C2 polling mechanism.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
Detects outbound HTTP GET requests to a specific C2 domain 'luizestrelhashapr.online' masquerading as CSS file fetches. The request pattern uses a specific path '/google_api/' followed by predefined alphanumeric filenames, consistent with the KREMLIN malware browser extension's C2 polling mechanism.
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Arnold Chan@slaz
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Hunters
2 months ago
000
Detects suspicious execution of system commands (curl, wget, python, bash, etc.) by AI/ML-related server processes like LiteLLM, RAGFlow, or Kestra. The detection looks for command-line arguments that may indicate credential harvesting, such as attempts to access environment variables, sensitive database configuration files, or the use of encoded data/network retrieval tools.
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gaurang k@gaurang7778
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Detections.ai Community
2 months ago
14034
This rule detects DNS queries or network connections originating from endpoints to a list of known malicious domains associated with various malware families (ClearFake, IClickFix, AMOS, Vidar, etc.). This helps identify potential C2 communication, malicious payload delivery, or infrastructure interaction.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
2 months ago
000
This rule detects network connections and HTTP requests to known malicious URLs, including file downloads associated with C2 infrastructure and malware distribution campaigns. It monitors both direct device network events and HTTP requests logged through security product events to identify potential secondary-stage payload delivery.
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Ankit Mehta@Secvyn
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SlimKQL
2 months ago
003
This rule detects DNS queries and network connections to a curated list of domains identified as malicious. It correlates events from DNS logs and device network logs to identify potential command-and-control (C2) or malicious infrastructure interaction.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
203
This rule monitors network traffic logs for HTTP requests directed toward domains identified as potentially malicious (gstatcs.com, webfaset.com, bulder.online). It further filters for events involving common web activity patterns, such as Google Tag Manager references or general HTTP/web traffic, which may indicate command and control communication or beaconing behavior.
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Ankit Mehta@Secvyn
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SlimKQL
2 months ago
000
This rule monitors network traffic logs for HTTP requests directed toward domains identified as potentially malicious (gstatcs.com, webfaset.com, bulder.online). It further filters for events involving common web activity patterns, such as Google Tag Manager references or general HTTP/web traffic, which may indicate command and control communication or beaconing behavior.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
000
This rule detects potential web skimmer activity where a user's browser performs a network connection to known payload delivery hosts (e.g., paste.sh or Google Sheets API) followed by a clipboard modification event on the same device within a one-hour window. This behavior is consistent with malicious scripts attempting to replace copied cryptocurrency wallet addresses with an attacker-controlled address.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
003
Detects repeated, non-interactive requests to the Google Sheets Visualization API (gviz/tq) originating from common web browsers. This pattern is indicative of a malicious browser extension attempting to reconstruct or reinject payloads when a user visits specific targeted websites.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
003
Detects network requests to unpkg.com or npmmirror for 'index.html' files directly under a package path. This behavior deviates from standard package management usage (which typically fetches tarballs or specific JavaScript modules) and is often associated with adversaries using npm packages as hosting infrastructure for phishing landing pages.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
108
Detects specific outbound HTTP POST requests to a known Amatera Stealer command and control domain. The rule looks for the unique URI path '/T.@w' and a specific 'Command: GetEndpoints' header structure commonly used by this malware family to beacon to its C2 infrastructure.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
002
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