Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule monitors the software inventory for outdated versions of the PostgreSQL database server. It identifies installations where the major and minor versions are below the threshold for current security releases (e.g., v18 < 6, v17 < 11, v16 < 15, v15 < 19, v14 < 24). Running outdated software increases the risk of exploitation of known vulnerabilities.
This rule detects potentially malicious modifications to PostgreSQL configuration files or the creation of new library files (.so or .dll) by the PostgreSQL service process. It also flags when the PostgreSQL service process is initiated with command-line arguments referencing 'shared_preload_libraries', which can be abused to load arbitrary code or malicious extensions into the database engine.
This rule detects modifications to the PostgreSQL authentication configuration file (pg_hba.conf), which controls client authentication. It also identifies replication connection requests from source IP addresses that have not been observed in the previous 7 days, indicating a potential attempt to exfiltrate database data via unauthorized replication.
Detects malicious markdown files (SKILL.md) that impersonate agent instruction files. These files contain hidden-content constructs (like CSS display:none, HTML comments, or invisible Unicode characters) combined with common command execution patterns (like curl, wget, or PowerShell encoded commands), characteristic of infostealer campaigns targeting AI agent platforms.
Detects the execution of the 'chmod +x' command to mark a file named '/tmp/helper' as executable, followed by the execution of that same binary within a 5-minute window. This behavior is indicative of an attacker dropping and executing a payload from a temporary directory.
Detects files that present a valid PNG magic header at the start but contain embedded PostScript instructions. This pattern is commonly used to exploit vulnerabilities in image processing libraries like Ghostscript or ImageMagick, which may attempt to process the file as PostScript despite the misleading header.
The following analytic detects suspicious command-lines that modify user profile files to automatically execute scripts or executables upon system reboot.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions involving profile files like ~/.bashrc and /etc/profile.
This activity is significant as it indicates potential persistence mechanisms used by adversaries to maintain access to compromised hosts.
If confirmed malicious, this could allow attackers to execute arbitrary code upon reboot, leading to persistent control over the system and potential further exploitation.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions involving profile files like ~/.bashrc and /etc/profile.
This activity is significant as it indicates potential persistence mechanisms used by adversaries to maintain access to compromised hosts.
If confirmed malicious, this could allow attackers to execute arbitrary code upon reboot, leading to persistent control over the system and potential further exploitation.
Detects the execution of Node.js processes where the command line contains the argument 'parser.js'. This is often used by adversaries to execute JavaScript-based payloads or custom scripts for malicious purposes.
This rule monitors for the execution of Node.js processes involving a file named 'parser.js' and a component or argument referred to as 'ldata'. This behavior is characteristic of specific application workflows, but when observed as a standalone or unusual process, it may indicate unauthorized script execution or the activity of a malicious node-based tool.
Detects execution of shell scripts where a remote resource is fetched via curl with silent flags and immediately piped into a shell interpreter. This pattern is commonly associated with the delivery of malicious payloads or installation of unauthorized tools.
Detects periodic outbound TLS connections over port 443 exhibiting beaconing behavior (5+ established connections with a non-empty SNI from a source host within 300 seconds), consistent with BridgeAgent malware C2 heartbeat/reverse-shell maintenance. Correlate with EDR detections of a process masquerading as /usr/bin/gnome-shell running as root and persisted via a fraudulent zabbix_agent.service.
Detects the execution of a binary named 'calc-mapping.bin' (either by image file path or command line arguments) where the parent process is 'node'. This pattern is indicative of a Node.js application spawning an unusual or potentially malicious binary.
Detects SSRF attempts targeting cloud metadata endpoints or internal/private network addresses.
Detects Linux persistence and removal activity by the botking implant, systemd user-service creation with the 'System Config User Service' description marker, secondary symlink persistence, or systemctl --user enable/disable for install/removal.
Identifies devices with software versions affected by CVE-2026-45321 or devices running TanStack related packages identified via vulnerability management and software inventory data.
Detects the execution of a file named 'calc-mapping.bin' when invoked directly or through a path, specifically when the parent process is named 'node'. This pattern may indicate the execution of a malicious binary or payload via a Node.js runtime environment.
Detects access to SQL developer tool configuration files (connections.json, product-preferences.xml) followed by a decryption utility, used by CISA's red team to recover cleartext database credentials from a targeted workstation.
Detects the use of common command-line utilities (curl or wget) to download files to a temporary directory (/tmp/helper), initiated from within an interactive shell session (sh, zsh, bash). This pattern is commonly observed during the initial stages of post-exploitation, where threat actors download malicious scripts or tools to a staging directory before execution.
This rule monitors network connections for traffic directed towards domains and IP addresses associated with a known malicious campaign distributing fake VPN browser extensions, as identified by Socket.dev. These domains and IPs are used for command and control or malicious communication by the browser extensions.
Detects attempts to perform GraphQL introspection or discover schema details by monitoring Caddy web server logs for requests containing common GraphQL-related paths or keywords.
Detects shell metacharacters combined with common OS commands in the request URI.
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