Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Remote Monitoring and Management (RMM) programs are IT to manage remote endpoints. Attackers have begun to abuse these programs to persist or provide C2 channels.
https://github.com/jischell-msft/RemoteManagementMonitoringTools
https://github.com/jischell-msft/RemoteManagementMonitoringTools
The analytic detects cloud API calls executed by user roles that have not previously run these commands. It leverages the Change data model in Splunk to identify commands executed by users with the user_type of AssumedRole and a status of success. This activity is significant because new commands from different user roles can indicate potential malicious activity or unauthorized actions. If confirmed malicious, this behavior could lead to unauthorized access, data breaches, or other damaging outcomes by exploiting new or unmonitored commands within the cloud environment.
The analytic detects the creation of cloud compute instances using previously unseen image IDs. It leverages cloud infrastructure logs to identify new image IDs that have not been observed before. This activity is significant because it may indicate unauthorized or suspicious activity, such as the deployment of malicious payloads or unauthorized access to sensitive information. If confirmed malicious, this could lead to data breaches, unauthorized access, or further compromise of the cloud environment. Immediate investigation is required to determine the legitimacy of the instance creation and to mitigate potential threats.
The following analytic detects the suspicious sysmon service stop. This behavior is critical for a SOC to monitor because it may indicate attempts to gain unauthorized access or maintain control over a system. Such actions could be signs of malicious activity. If confirmed, this could lead to serious consequences, including a compromised system, unauthorized access to sensitive data, or even a wider breach affecting the entire network. Detecting and responding to these signs early is essential to prevent potential security incidents.
This query surfaces devices that are in a specific IPAddressV6 subnet
Remote Monitoring and Management (RMM) programs are IT to manage remote endpoints. Attackers have begun to abuse these programs to persist or provide C2 channels.
https://github.com/jischell-msft/RemoteManagementMonitoringTools
https://github.com/jischell-msft/RemoteManagementMonitoringTools
Remote Monitoring and Management (RMM) programs are IT to manage remote endpoints. Attackers have begun to abuse these programs to persist or provide C2 channels.
https://github.com/jischell-msft/RemoteManagementMonitoringTools
https://github.com/jischell-msft/RemoteManagementMonitoringTools
Remote Monitoring and Management (RMM) programs are IT to manage remote endpoints. Attackers have begun to abuse these programs to persist or provide C2 channels.
https://github.com/jischell-msft/RemoteManagementMonitoringTools
https://github.com/jischell-msft/RemoteManagementMonitoringTools
Remote Monitoring and Management (RMM) programs are IT to manage remote endpoints. Attackers have begun to abuse these programs to persist or provide C2 channels.
https://github.com/jischell-msft/RemoteManagementMonitoringTools
https://github.com/jischell-msft/RemoteManagementMonitoringTools
Remote Monitoring and Management (RMM) programs are IT to manage remote endpoints. Attackers have begun to abuse these programs to persist or provide C2 channels.
https://github.com/jischell-msft/RemoteManagementMonitoringTools
https://github.com/jischell-msft/RemoteManagementMonitoringTools
Detects potential Java webshell uploads to an SAP NetViewer server via HTTP POST requests with a 'Content-Type' of 'application/octet-stream' and URI stems containing '/irj/' and ending with '.jsp', '.class', or '.java'. This behavior might indicate exploitation of vulnerabilities like CVE-2025-31324, which allows remote code execution through webshells.
Detects potential command execution via webshell in SAP NetViewer through JSP files with 'cmd' or similar parameters. This rule is designed to identify exploitation of vulnerabilities like CVE-2025-31324, which allows remote code execution via a webshell by looking for specific URI patterns and query parameters indicative of command execution attempts, including common Linux commands and base64 encoded commands.
Show usb mounted devices and drive letters
This rule detects outbound network connections to IP addresses that exhibit low prevalence within the monitored environment. Specifically, it flags connections to IPs that have a rolling maximum prevalence of 1 to 3 occurrences over a 10-day period. This behavior can be indicative of command and control (C2) communication, data exfiltration, or other suspicious activities where adversaries might use newly registered or rarely seen infrastructure.
Detects potentially suspicious processes being spawned by a web server process which could be the result of a successfully placed web shell or exploitation. This rule specifically looks for common web server processes (Caddy, Apache HTTPD, Nginx, PHP, Tomcat, IIS, Exchange UMWorkerProcess) or Java processes identified as Tomcat, spawning anomaly children processes like command-line interpreters (cmd.exe, powershell.exe, bash.exe), network utilities (net.exe, netsh.exe), or other system utilities often used in post-exploitation.
Detects potential exploitation of CVE-2021-26084, a Confluence RCE using OGNL injection. The rule looks for specific POST requests to Confluence endpoints, either '/pages/createpage-entervariables.action' with a 'SpaceKey=x' parameter or '/doenterpagevariables.action' with a 'u0027' string in the POST body's 'queryString' parameter. It specifically targets requests from 'anonymous' users that result in a 200 HTTP status code.
The analytic detects the use of `reg.exe` to export Windows Registry hives, specifically `sam`, `system`, or `security`, which may contain sensitive credentials. This activity indicates potential offline credential access attacks, often executed from untrusted processes or scripts. If confirmed malicious, attackers could gain access to credential data, enabling further compromise and lateral movement within the network.
This analytic detects exploitation activity of CVE-2023-27532 using Cisco Secure Firewall Intrusion Events. It leverages Cisco Secure Firewall Threat Defense IntrusionEvent logs to identify cases where Snort signature 61514 (Veeam Backup and Replication credential dump attempt) is followed within a 5-minute window by 64795 (Veeam Backup and Replication xp_cmdshell invocation attempt), which detects the use of `xp_cmdshell`, a common post-exploitation technique. If confirmed malicious, this behavior is highly indicative of a successful exploitation of CVE-2023-27532, followed by remote command execution or credential dumping.
Detects potentially suspicious processes being spawned by a web server process which could be the result of a successfully placed web shell or exploitation
Detects potential exploitation of a chained vulnerability attack targeting Ivanti EPMM 12.5.0.0. CVE-2025-4427 allows unauthenticated access to protected API endpoints via an authentication bypass, which can then be leveraged to trigger CVE-2025-4428 — a remote code execution vulnerability through template injection. This sequence enables unauthenticated remote code execution, significantly increasing the impact of exploitation.
This analytic detects Lumma Stealer download attempts using Cisco Secure Firewall Intrusion Events. It leverages Cisco Secure Firewall Threat Defense IntrusionEvent logs to identify cases where Snort signatures with specific IDs have been triggered. If confirmed malicious, this behavior could indicate an active infection of Lumma Stealer.
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