Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
20,504 detections
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IDS Classtypes
1
Detects instances where the process wtass.exe (often associated with specific legacy or third-party enterprise tools) spawns cmd.exe. This pattern is potentially indicative of command-line abuse, where a legitimate application's child process is leveraged to execute shell commands.
Detects anomalous activity originating from PostgreSQL processes, including the spawning of shells (cmd, powershell, sh, bash), access to sensitive files (e.g., /etc/shadow, SSH keys), and file creation outside the standard PostgreSQL data directories, which is consistent with the abuse of SQL functionality like pg_read_file() or lo_export().
Detects when the Postgres service process or account attempts to modify system-level persistence mechanisms, such as scheduled tasks (cron/schtasks) or system services (systemd/startup folders), which are typical behaviors for an adversary using database service context to maintain persistence.
Detects the modification or replacement of critical Linux system daemons (crond, sshd, polkitd, etc.) followed by a service restart or reload. This behavior is indicative of potential trojanization or unauthorized tampering of system processes to establish persistence or inject malicious code.
Detects instances where common web server applications (e.g., Apache, Tomcat, IIS, Nginx) or Java runtime environments spawn suspicious child processes like command shells (cmd.exe, powershell.exe, sh, bash) or network utilities (wget, curl). This behavior often indicates exploitation of a web vulnerability, such as Remote Code Execution (RCE), allowing an adversary to execute commands or download further malicious payloads.
This rule detects the use of 'mshta.exe' to execute a file from a remote location by inspecting the command line for 'http' protocols and a specific suspicious domain. Adversaries often abuse mshta.exe to proxy the execution of malicious HTML Application (HTA) files or scripts to bypass security controls.
Detects attempts to modify, disable, or exclude paths and processes from Microsoft Defender Antivirus using legitimate administrative utilities such as PowerShell, cmd, sc, and netsh. This behavior is indicative of an adversary attempting to evade security monitoring.
Detects the execution of cmstp.exe with the /au parameter, which is commonly used to install malicious INF files, when initiated by LockAppHost.exe. This pattern is often indicative of an attempt to bypass application control or achieve privilege escalation by leveraging the legitimate Microsoft Connection Manager Profile Installer.
Detects the use of PowerShell to add Microsoft Defender exclusions (paths or extensions) where the process was initiated by or involves LockAppHost.exe. This behavior is indicative of an attempt to bypass security protections by excluding malicious artifacts from scanning.
This rule detects suspicious activity associated with JSCeal proxy handlers. It identifies Node.js or Electron processes running from non-standard, user-writable directories (such as AppData, ProgramData, or Temp folders) that actively delete or modify browser cookie files within standard web browser profile paths, often indicative of session hijacking or data tampering.
Detects repeated attempts to delete Volume Shadow Copies using WMIC. This is a common technique used by ransomware and other malware to prevent system recovery and inhibit forensic investigations. The rule filters out known backup agents and service accounts and identifies patterns where multiple distinct deletions occur within a 5-minute window.
Detects repeated attempts to delete Volume Shadow Copies using WMIC. This is a common technique used by ransomware and other malware to prevent system recovery and inhibit forensic investigations. The rule filters out known backup agents and service accounts and identifies patterns where multiple distinct deletions occur within a 5-minute window.
Detects instances where common web browsers (msedge, chrome, firefox, iexplore, brave, opera) are initiated with a command line containing a specific suspicious domain 'llove-kitchens.com', indicating potential interaction with a malicious web resource.
This rule detects unauthorized or suspicious access to sensitive configuration and credential files (e.g., .aws, .azure, .ssh) by specific DLP (Data Loss Prevention) or automation scripts, and identifies subsequent attempts to expose environment variables or sensitive tokens within process command lines.
This rule detects unauthorized or suspicious access to sensitive configuration and credential files (e.g., .aws, .azure, .ssh) by specific DLP (Data Loss Prevention) or automation scripts, and identifies subsequent attempts to expose environment variables or sensitive tokens within process command lines.
Detects Terraform processes (init or apply) executed in conjunction with suspicious post-deployment indicators, such as references to '.terraform' folders, execution of automation scripts like 'dlp.sh' or 'dlp-docker.sh', or access to sensitive telemetry data external to typical infrastructure management.
Detects unexpected child process execution (php, bash, sh) by web server processes (php-fpm, apache, nginx) while accessing specific Magento application directories (var/report, var/log/system.log) or parameters often associated with the StyleSmuggler exploitation technique, indicating potential Remote Code Execution.
Detects instances where common web server processes (e.g., PHP, Apache, Nginx) spawn child processes associated with command-line utilities (e.g., curl, bash, python). The rule specifically monitors for command-line arguments referencing log files or traces, which is indicative of potential exploitation attempts or post-exploitation activities such as log poisoning or remote code execution.
Detects the execution of Terraform commands (init, apply, plan) that interact with the 'registry.coder.com' domain, or direct network connections to the associated infrastructure. This may indicate the use of unauthorized or compromised Infrastructure-as-Code (IaC) modules or malicious supply chain activity involving Terraform configurations.
This rule detects the execution of specific DLP-related shell scripts (dlp.sh, dlp-docker.sh) being invoked by Terraform processes. This pattern may indicate suspicious automated infrastructure configuration or an attempt to bypass security controls by leveraging IaC tools to execute scripts.
This rule detects the execution of specific DLP-related shell scripts (dlp.sh, dlp-docker.sh) being invoked by Terraform processes. This pattern may indicate suspicious automated infrastructure configuration or an attempt to bypass security controls by leveraging IaC tools to execute scripts.
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