Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,748 detections
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IDS Classtypes
1
Detects rapid, repeated execution of process control utilities (kill, strace, inotifywait, timeout) directed at monitored processes, often used by malware (such as 'redtail') to disable security monitoring, debugging, or auditing tools on Linux systems.
Detects specific suspicious processes (identified by hash or path) initiating a listening network connection on non-standard ports typically associated with honeypot captures, specifically referencing Cowrie-related paths or known malicious samples.
Detects specific suspicious processes (identified by hash or path) initiating a listening network connection on non-standard ports typically associated with honeypot captures, specifically referencing Cowrie-related paths or known malicious samples.
Detects specific suspicious processes (identified by hash or path) initiating a listening network connection on non-standard ports typically associated with honeypot captures, specifically referencing Cowrie-related paths or known malicious samples.
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.
Detects outbound network connections initiated by the VLC media player (vlc.exe) to public IP addresses using the RTSP protocol (port 554) or referencing common media file extensions (e.g., .m3u, .xspf) in the command line. This behavior is often associated with remote stream retrieval or, in adversarial contexts, the potential use of media players to exfiltrate data or retrieve malicious remote payloads.
Detects unauthorized processes attempting to access sensitive application data files such as browser cookies, local state, or data stored by applications like Discord, Telegram, and Steam, which are frequent targets for credential-stealing malware.
Detects unauthorized processes attempting to access sensitive application data files such as browser cookies, local state, or data stored by applications like Discord, Telegram, and Steam, which are frequent targets for credential-stealing malware.
Detects the creation of specific mutex objects ('AppUpdateHelper' or 'WinSvc') commonly associated with Hidden VNC (hVNC) backdoors. These mutexes are used by the malware to ensure only one instance is running on the host, and the regex pattern targets the specific naming convention (including a hex suffix) utilized by these threats.
Detects the creation or modification of files within the /etc/init.d/ directory, followed by process activity related to that same directory. This pattern is commonly associated with attackers establishing persistence on Linux systems via SysVinit scripts.
Detects periodic screen capture activity performed by Node.js or Electron-based processes, correlated with subsequent outbound network connections to public IP addresses within a short timeframe. This behavior is indicative of the JSCeal malware's surveillance and exfiltration module, where local reconnaissance via screenshotting is followed by data transmission.
Detects ERAAgent.exe (ESET Remote Administrator Agent) interacting with suspicious named pipes (e.g., mojo, spoolss) and attempts to extract credentials from command line parameters, indicating potential credential dumping or lateral movement techniques using the agent process.
Detects periodic execution cycles of ERAAgent.exe that involve memory protection changes, characteristic of the SLEEPWALKER malware's XOR-decrypt-execute-reencrypt loop scheduled by a cron-like mechanism.
Detects a specific evasion behavior associated with the NinjaMare malware, where a process idles for at least 7 minutes before moving its window to off-screen coordinates during automated mouse or keystroke input, followed by restoring the window to its original position.
Detects modifications to the PostgreSQL configuration file 'pg_hba.conf' closely followed by a reload command (via pg_ctl or postgres processes). This behavior is indicative of an attacker attempting to modify authentication or connection access controls for a database.
Detects a sequence of system reconnaissance commands consistent with a Linux stager preparing to deploy a malicious cron payload. The rule identifies the combination of process enumeration (specifically targeting haproxy or cron services), privilege verification, and OS environment profiling (hostname, kernel, or distribution details) occurring within a single execution context.
This rule detects attempts by users to disable or clear command line history logs for shell environments, including PowerShell (e.g., modifying PSReadLine history) and Unix-like shells (e.g., unset HISTFILE, setting HISTSIZE to 0, or disabling history collection). Such actions are frequently performed by adversaries to hinder incident response and forensic analysis by obscuring their post-exploitation activity.
Detects rapid, repeated execution of process control utilities (kill, strace, inotifywait, timeout) directed at monitored processes, often used by malware (such as 'redtail') to disable security monitoring, debugging, or auditing tools on Linux systems.
Detects instances where a RedTail malware variant enumerates processes via the /proc filesystem to identify and terminate previous instances of itself using a kill signal.
Detects rapid deletion and creation cycles of the WD_SCAN object manager link, a behavioral pattern associated with a Time-of-Check-to-Time-of-Use (TOCTOU) exploit chain targeting Windows Defender (referenced as CVE-2026-69414). The rule monitors for at least three cycle events occurring within a 5-second window, specifically involving the 'WD_SCAN' object identifier.
This rule detects potentially malicious activity involving the modification of Excel macro security settings (specifically VBAWarnings or AccessVBOM) or the creation of autorun.inf files on removable drives. It identifies these behaviors when they coincide with the execution of Synaptics.exe within a 30-minute window, suggesting a potential correlation between local administrative tasks and malicious document-based payloads or portable drive staging.
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