Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potential command injection attacks targeting the Zimbra 'swatchdog' service, specifically involving the abuse of SNMP trap notifications (CVE-2026-73570). The attack works by injecting malicious shell metacharacters into the 'zimbra-MIB::zmServiceName' argument, which is processed by a Perl-invoked 'swatchdog' script. The rule monitors process execution events for shell commands spawned by the swatchdog utility that contain suspicious shell operators and the targeted MIB parameter.
This rule detects potential command injection attacks targeting the Zimbra 'swatchdog' service, specifically involving the abuse of SNMP trap notifications (CVE-2026-73570). The attack works by injecting malicious shell metacharacters into the 'zimbra-MIB::zmServiceName' argument, which is processed by a Perl-invoked 'swatchdog' script. The rule monitors process execution events for shell commands spawned by the swatchdog utility that contain suspicious shell operators and the targeted MIB parameter.
This rule detects potential brute-force activity against remote access services (OpenVPN, StrongSwan, WireGuard, and SSH) on Linux hosts by monitoring Syslog for patterns indicating repeated failed authentication attempts. It further highlights instances where a burst of failed attempts is followed by a successful authentication for the same source IP, indicating a potential successful compromise.
Detects high-frequency restarts, HA failovers, or process crashes (e.g., nsppe, nsaaad) on Citrix NetScaler appliances. This behavior is indicative of potential denial-of-service exploitation, such as the CVE-2026-88772 DTLS memory-overflow vulnerability.
This rule detects potential command injection attacks targeting the Zimbra 'swatchdog' service, specifically involving the abuse of SNMP trap notifications (CVE-2026-73570). The attack works by injecting malicious shell metacharacters into the 'zimbra-MIB::zmServiceName' argument, which is processed by a Perl-invoked 'swatchdog' script. The rule monitors process execution events for shell commands spawned by the swatchdog utility that contain suspicious shell operators and the targeted MIB parameter.
This rule detects potential persistence via Python environment variable manipulation (PYTHONPATH) followed by suspicious network activity from a child process of python.exe. It specifically looks for the modification of the PYTHONPATH environment variable using PowerShell on Windows or shell configuration files on Unix-like systems, followed by a python.exe-initiated network connection (like curl) to external domains, which may indicate the execution of a malicious sitecustomize.py hook.
Detects suspicious child processes such as shell interpreters, download utilities, and base64-decoded commands spawned from core Citrix NetScaler processes (nsppe, httpd, aoacli, nscli). This pattern is often indicative of post-exploitation command execution following an exploitation of remote code execution (RCE) vulnerabilities.
This rule detects potential anti-forensic activity on Citrix ADC/NetScaler devices by monitoring for two primary indicators of log tampering: an unexpected drop in syslog volume to zero following a period of activity, or the execution of explicit commands intended to clear audit logs and configuration files.
Detects high-risk administrative activity on VMware ESXi or vCenter servers that is consistent with pre-ransomware staging, such as disabling lockdown mode, disabling syslog forwarding, mass deletion or modification of virtual machine files (.vmdk/.vmx), or shell command execution related to encryption tool staging.
Detects potential misuse of SSH credentials by identifying successful SSH logins from source IP addresses that have not been observed in the previous 14 days, or successful SSH logins occurring within one hour of an authorized_keys file modification on the same host. This combination of behaviors is indicative of an adversary establishing or using persistence via SSH key manipulation.
The following analytic identifies instances where users may have mistakenly entered their passwords in the username field during authentication attempts. It detects this by analyzing failed authentication events with usernames longer than 7 characters and high Shannon entropy, followed by a successful authentication from the same source to the same destination. This activity is significant as it can indicate potential security risks, such as password exposure. If confirmed malicious, attackers could exploit this to gain unauthorized access, leading to potential data breaches or further compromise of the system.
Detects the deployment of the Hermes Agent AI framework by the Carbonato botnet. The rule identifies the creation or modification of a 'SOUL.md' persona file within specific directories (/root/.hermes/ or /opt/netd/) followed by an outbound network connection to a known LLM gateway IP or the Telegram API. This pattern is indicative of a post-exploitation AI agent being installed for command and control or task execution.
Detects a sequence of events characteristic of exploitation against RouterOS (CVE-2026-67276/CVE-2026-86060), involving a failed SSH login attempt with the username '-2', followed by the creation of a new user account within the same SSH session, and a successful login with that newly created account.
Detects installation of new certificate on the system which attackers may use to avoid warnings when connecting to controlled web servers or C2s
Detects the execution of bash commands that contain base64 decoding flags, typically used to obfuscate command-line arguments to evade detection, initiated from a terminal application.
This rule monitors Linux system logs for attempts to modify the /etc/sudoers file, utilize sudoers.d configurations, or execute commands with NOPASSWD privileges. These activities are common precursors to privilege escalation or persistence through elevated command execution.
Detects the execution of command shells or common post-exploitation utilities as child processes of network appliance management services (e.g., VPN gateways, firewalls, web servers). This pattern indicates potential exploitation of public-facing infrastructure where an attacker achieves code execution through the management daemon or its web components.
Detects a suspicious sequence of reconnaissance activities associated with ShinyHunters campaigns targeting PeopleSoft environments. The pattern involves reading '/etc/hosts' using standard utilities ('cat', 'grep', 'awk') followed by rapid network discovery or probing attempts using 'curl', 'wget', 'nmap', or 'nc' from the same host within a 10-minute window.
Detects potential remote code execution triggered by loading untrusted AI model files (e.g., pickle, .pt, .pth, .ckpt) in Python-based environments. The rule identifies suspicious child process execution or the presence of known dangerous deserialization/payload indicators (like os.system, subprocess, or socket) within the command line of common model-loading applications, suggesting a model-based supply chain compromise.
Detects a sequence of events characteristic of exploitation against RouterOS (CVE-2026-67276/CVE-2026-86060), involving a failed SSH login attempt with the username '-2', followed by the creation of a new user account within the same SSH session, and a successful login with that newly created account.
Detects the execution of Python 3.12 commands via 'sudo' to elevate privileges to 'root'. The rule monitors for instances where a non-root account invokes 'sudo python3.12' and subsequently spawns a process or logs activity confirming a root-level execution session within a short time window.
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