Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The analytic identifies Domain Generation Algorithm (DGA) generated domains using a pre-trained deep learning model. It leverages network resolution data to analyze domain names and detect unusual character sequences indicative of DGA activity. Adversaries often use DGAs to generate numerous domain names for command-and-control servers, making it harder to block malicious traffic. If confirmed malicious, this activity could enable attackers to maintain persistent communication with compromised systems, evade detection, and execute further malicious actions.
This analytic identifies significant changes in network communication behavior within Kubernetes containers by examining the inbound to outbound network IO ratios. It leverages process metrics from an OTEL collector and Kubelet Stats Receiver, along with data from Splunk Observability Cloud. Anomalies are detected using a lookup table containing average and standard deviation values for network IO, triggering an event if the anomaly persists for over an hour. This activity is significant as it may indicate data exfiltration, command and control communication, or compromised container behavior. If confirmed malicious, it could lead to data breaches, service outages, and unauthorized access within the Kubernetes cluster.
The analytic detects the use of the curl command with specific switches (-F, --form, --upload-file, -T, -d, --data, --data-raw, -I, --head) to upload AWS credentials or configuration files to a remote destination. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions and process details. This activity is significant as it may indicate an attempt to exfiltrate sensitive AWS credentials, a technique known to be used by the TeamTNT group. If confirmed malicious, this could lead to unauthorized access and potential compromise of AWS resources.
This analytic detects a Windows application establishing an SMTP connection from a non-common installation path. It leverages Sysmon EventCode 3 to identify processes not typically associated with email clients (e.g., Thunderbird, Outlook) making SMTP connections. This activity is significant as adversaries, including malware like AgentTesla, use such connections for Command and Control (C2) communication to exfiltrate stolen data. If confirmed malicious, this behavior could lead to unauthorized data exfiltration, including sensitive information like desktop screenshots, browser data, and system details, compromising the affected host.
The following analytic detects attempts to exploit a remote code execution vulnerability in Juniper Networks devices. It identifies requests to /webauth_operation.php?PHPRC=*, which are indicative of uploading and executing malicious PHP files. This detection leverages the Web data model, focusing on specific URL patterns and HTTP status codes. This activity is significant because it signals an attempt to gain unauthorized access and execute arbitrary code on the device. If confirmed malicious, the attacker could gain control over the device, leading to data theft, network compromise, or other severe consequences.
The following analytic identifies the loading of four specific Windows DLLs (credui.dll, dbghelp.dll, samcli.dll, winhttp.dll) by a non-standard process. This detection leverages Sysmon EventCode 7 to monitor DLL load events and flags when all four DLLs are loaded within a short time frame. This activity is significant as it may indicate the presence of Brute Ratel C4, a sophisticated remote access tool used for credential dumping and other malicious activities. If confirmed malicious, this behavior could lead to unauthorized access, credential theft, and further compromise of the affected system.
Detects potential exploitation attempts targeting CVE-2025-31324, a critical unauthenticated file upload vulnerability in SAP NetWeaver Visual Composer. This flaw allows remote attackers to send specially crafted POST requests to the /developmentserver/metadatauploader endpoint, enabling arbitrary file uploads—commonly webshells—resulting in full system compromise. The detection looks for HTTP HEAD or POST requests with a 200 OK status to sensitive Visual Composer endpoints, which may indicate reconnaissance or active exploitation. Successful exploitation can lead to attackers gaining privileged access, deploying malware, and impacting business-critical SAP resources. Immediate patching and investigation of suspicious activity are strongly recommended, as this vulnerability is being actively exploited in the wild.
The following analytic identifies the use of netsh.exe to configure a connection proxy, which can be leveraged for persistence by executing a helper DLL. It detects this activity by analyzing process creation events from Endpoint Detection and Response (EDR) agents, focusing on command-line executions involving "portproxy" and "v4tov4" parameters. This activity is significant because it indicates potential unauthorized network configuration changes, which could be used to maintain persistence or redirect network traffic. If confirmed malicious, this could allow an attacker to maintain covert access or manipulate network communications, posing a significant security risk.
The following analytic detects the use of certutil to download software, specifically when spawned by SQL-related processes. This detection leverages Endpoint Detection and Response (EDR) data, focusing on command-line executions involving certutil with parameters like *urlcache* and *split*. This activity is significant as it may indicate a compromise by threat actors, such as Flax Typhoon, who use certutil to establish persistent VPN connections. If confirmed malicious, this behavior could allow attackers to maintain access, monitor system availability, and potentially escalate to data theft or ransomware deployment.
This detection identifies DNS queries to domains that match previously decommissioned S3 buckets. This activity is significant because attackers may attempt to recreate deleted S3 buckets that were previously public to hijack them for malicious purposes. If successful, this could allow attackers to host malicious content or exfiltrate data through compromised bucket names that may still be referenced by legitimate applications.
The following analytic identifies DNS requests with unusually large query lengths for the record type being requested. It leverages the Network_Resolution data model and applies a machine learning model to detect outliers in DNS query lengths. This activity is significant because unusually large DNS queries can indicate data exfiltration or command-and-control communication attempts. If confirmed malicious, this activity could allow attackers to exfiltrate sensitive data or maintain persistent communication channels with compromised systems.
This analytic identifies a process making a DNS query to Discord, excluding legitimate Discord application paths. It leverages Sysmon logs with Event ID 22 to detect DNS queries containing "discord" in the QueryName field. This activity is significant because Discord can be abused by adversaries to host and download malicious files, as seen in the WhisperGate campaign. If confirmed malicious, this could indicate malware attempting to download additional payloads from Discord, potentially leading to further code execution and compromise of the affected system.
The analytic detects the creation or modification of Windows registry entries related to the Remote Manipulator System (RMS) Remote Admin tool. This activity is significant because RMS, while legitimate, is often abused by adversaries, such as in the Azorult malware campaigns, to gain unauthorized remote access. If confirmed malicious, this could allow attackers to remotely control the targeted host, leading to potential data exfiltration, system manipulation, or further network compromise.
The analytic detects the use of 'curl' and 'wget' commands within a Linux environment. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names, user information, and command-line executions. This activity is significant as 'curl' and 'wget' are commonly used for downloading files, which can indicate potential ingress of malicious tools. If confirmed malicious, this activity could lead to unauthorized code execution, data exfiltration, or further compromise of the system. Monitoring and tuning this detection helps identify and differentiate between normal and potentially harmful usage.
The following analytic detects the use of default or publicly known named pipes associated with the RMX remote admin tool. It leverages Sysmon EventCodes 17 and 18 to identify named pipe creation and connection events. This activity is significant as the RMX tool has been abused by adversaries and malware like Azorult to collect data from targeted hosts. If confirmed malicious, this could indicate unauthorized remote administration capabilities, leading to data exfiltration or further compromise of the affected system. Immediate investigation is required to determine the legitimacy of this tool's presence.
The following analytic detects modifications to the Windows registry key "ProxyEnable" to enable proxy settings. It leverages data from the Endpoint.Registry datamodel, specifically monitoring changes to the "Internet Settings\ProxyEnable" registry path. This activity is significant as it is commonly exploited by malware and adversaries to establish proxy communication, potentially connecting to malicious Command and Control (C2) servers. If confirmed malicious, this could allow attackers to redirect network traffic through a proxy, facilitating unauthorized communication and data exfiltration, thereby compromising the security of the affected host.
This analytic detects modifications to the Windows registry key responsible for setting up a proxy server. It specifically looks for changes to the "Internet Settings\\ProxyServer" registry path. Such modifications can indicate that malware or an adversary is configuring a proxy to establish unauthorized communication channels, potentially for Command and Control (C2) or data exfiltration. The rule leverages Sysmon EventID 13 data, which records registry value set operations.
This analytic identifies DNS queries from internal hosts to dynamic domain providers. It leverages DNS query logs from the `Network_Resolution` data model and cross-references them with a lookup file containing known dynamic DNS providers. This activity is significant because attackers often use dynamic DNS services to host malicious payloads or command-and-control servers, making it crucial for security teams to monitor. If confirmed malicious, this activity could allow attackers to bypass firewall blocks, evade detection, and maintain persistent access to the network.
This analytic identifies DNS queries with unusually large lengths by computing the standard deviation of query lengths and filtering those exceeding twice the standard deviation. It leverages DNS query data from the Network_Resolution data model, focusing on the length of the domain names being resolved. This activity is significant as unusually long DNS queries can indicate data exfiltration or command-and-control communication attempts. If confirmed malicious, this activity could allow attackers to stealthily transfer data or maintain persistent communication channels within the network.
This analytic detects access attempts to the PowerShell Web Access (PSWA) console on Windows IIS servers. It monitors web traffic for requests to PSWA-related URIs, which could indicate legitimate administrative activity or potential unauthorized access attempts. By tracking source IP, HTTP status, URI path, and HTTP method, it helps identify suspicious patterns or brute-force attacks targeting PSWA. This detection is crucial for maintaining the security of remote PowerShell management interfaces and preventing potential exploitation of this powerful administrative tool.
This analytic detects suspicious `rundll32.exe` processes making DNS queries. This behavior is often associated with malware like IcedID, which uses `rundll32.exe` to check internet connectivity and communicate with command and control (C2) servers for configuration and payload downloads. Successful exploitation could lead to persistence, additional payload delivery, and data exfiltration.
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