Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects processes making HTTP/HTTPS requests to localhost on ports 40341 or 40342 for '/metadata'. This pattern can indicate local service discovery, inter-process communication, or potentially malicious activity attempting to interact with local services, possibly for credential access or privilege escalation.
This rule detects the creation of web shell files (ASPX, PHP, JSP) in common web server directories such as 'wwwroot', 'inetpub', or 'var\\www'. This activity is indicative of an adversary establishing persistent access to a web server.
This rule monitors for high frequency network connections (more than 50 requests) initiated from internal endpoints to external (non-RFC1918) IP addresses over port 443. This pattern may indicate beaconing activity, command and control (C2) communication, or significant data exfiltration to an external host.
Detects outbound network connections to the domain 'financemachinelearning.com' from any host. This domain may be associated with suspicious activity or command and control infrastructure.
Detects Python scripts with reverse shell socket connection patterns
Detects data exfiltration through Discord webhook POST requests
Detects a Perl-based SOCKS proxy used by the threat actor Velvet Ant that masquerades as the legitimate smbd process by running with 'smbd -D' command line arguments while listening on non-standard port 5000.
Detects the modification or creation of Pluggable Authentication Module (PAM) files or shared libraries in Linux environments. This technique is often used to establish persistence or intercept authentication credentials by replacing legitimate modules like pam_unix.so with malicious counterparts.
Detects the execution of the Linux uptime utility, either as a standalone process or via common web server parent processes (nginx, httpd, apache), particularly when associated with suspicious command-line arguments or network activity. This behavior is often associated with reconnaissance or post-exploitation activities.
Detects when the SSH daemon or associated client binaries (/usr/sbin/sshd, /usr/bin/ssh, /usr/bin/scp) are overwritten or newly created on a Linux system. This is a highly suspicious activity often associated with rootkits, backdoors, or persistence mechanisms aimed at intercepting credentials or maintaining unauthorized remote access.
Detects the use of package management or file integrity monitoring tools (rpm, dpkg, debsums, aide, inotifywait) to verify or interact with critical SSH/PAM configuration files, or the use of inotifywait to monitor SSH configuration access. This behavior may indicate an adversary attempting to verify compromised configurations, check for the presence of backdoors, or monitor security modifications.
This rule detects Server-Side Request Forgery (SSRF) attempts by monitoring for URL parameters containing malicious path injections. Specifically, it looks for sequences typical of differential parsing vulnerabilities where an attacker attempts to access sensitive local files (e.g., /proc/self/environ, /var/task/) or internal cloud metadata services (metadata.google.internal) by manipulating a 'url' parameter, often combined with attempts to bypass path validation using double-slash formatting.
This rule detects when an Nginx web server proxies HTTP POST requests to FastCGI backends located on internal network subnets (RFC1918) or local unix sockets. Such behavior often indicates exploitation attempts targeting internal FastCGI interfaces, which should typically not be reachable directly from the internet-facing web server.
This rule detects modifications (such as write, rename, create, or delete events) to critical Linux system files including SSH binaries (sshd, ssh, scp) and PAM authentication modules (pam_unix.so). These files are common targets for adversaries seeking to establish persistence, bypass authentication mechanisms, or gain unauthorized access to credentials.
This rule monitors for suspicious activities related to Pluggable Authentication Modules (PAM) and authentication daemons. It detects unauthorized modifications to PAM configuration and shared object files, unexpected child processes spawned by sshd, the use of LD_PRELOAD in authentication contexts, and the tracing of authentication binaries (e.g., sshd, login, sudo) via strace.
This rule detects network connections from internal devices to identified APT Command and Control (C2) IP address ranges over common ports (8080, 443, 21, 22, 23, 25, 445). This traffic pattern is indicative of unauthorized external communication commonly associated with malware or adversary activity.
Detects suspicious command execution on Linux-based SOHO/IoT devices, specifically targeting patterns associated with log deletion, unauthorized cron job modification, busybox utility abuse, and temporary directory execution. This activity is often linked to botnet recruitment and reconnaissance behaviors such as those observed in the JDY and Volt Typhoon campaigns.
Detects attempts to delete or clear Linux system logs using common utilities (rm, shred, truncate, echo, cat) targeting critical log paths such as /var/log/syslog, /var/log/messages, and other authentication or kernel logs. This activity is indicative of an adversary attempting to remove evidence of their actions from the local system.
Detects the execution of Python-based SMB server implementations commonly associated with the Impacket toolset. Impacket is frequently used by attackers to facilitate lateral movement, credential relay, and remote file manipulation.
Detects the execution of sensitive ESXi administrative commands (e.g., esxcli, vim-cmd) that suggest potential hypervisor management or tampering, especially when initiated by non-administrative processes or specific shells.
This rule monitors DNS queries for potential exfiltration or C2 communication channels. It flags DNS queries that exceed 100 characters in length or contain labels with at least 30 alphanumeric characters, excluding activity from common web browsers.
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