Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule monitors network traffic from CommonSecurityLog data to detect bidirectional communication between NetScaler appliances and known malicious infrastructure associated with the CVE-2026-88772 campaign, which is indicative of command-and-control activity.
This rule detects anomalous GET requests to PHP files within the WordPress themes directory that match the specific pattern used by the DragonForce threat actor for secondary C2 beaconing. The detection identifies requests that lack typical WordPress request indicators like cookies or specific form fields, suggesting non-browser, programmatically generated C2 traffic.
Detects anomalous process execution by PeopleSoft application server processes (e.g., psappsrv, jsvc) immediately following an inbound network request. This behavior is indicative of exploitation of a Java deserialization gadget chain, such as those used by the threat actor UNC6240 to achieve Remote Code Execution (RCE) and spawn command interpreters.
Detects repeated crashes or restarts of the Citrix NetScaler packet engine (nsppe) correlated with a concurrent spike in inbound DTLS traffic. This pattern is indicative of potential memory-overflow exploitation attempts (consistent with CVE-2026-88772) targeting the VPN virtual server functionality, leading to a Denial of Service (DoS) condition.
Detects high volumes of DTLS/UDP session-initiation traffic targeting NetScaler VPN virtual servers that are immediately followed by appliance-level error logs or crashes. This behavior is indicative of active probing or exploitation attempts, such as those associated with CVE-2026-88772, where malicious payloads cause service instability.
Detects web server requests for .aspx files where the User-Agent string identifies as Windows PowerShell and includes the zh-CN locale setting. This behavior is often characteristic of automated exploitation tools or web shells (like China Chopper) interacting with compromised web servers.
This rule detects a potential heap overflow exploitation attempt against F5 BIG-IP Access Policy Manager (APM) by inspecting HTTP POST requests to the /oauth/token endpoint with an unusually large 'grant_type' field (exceeding 4096 bytes). This behavior is characteristic of an attempt to trigger the heap overflow vulnerability identified as CVE-2026-94127.
Detects unauthorized or external access attempts to the Ollama LLM API service (TCP port 11434). The rule specifically flags POST requests targeting the /api/generate or /api/chat endpoints, which are commonly exposed via misconfiguration or lack of authentication, potentially allowing remote command execution or model exploitation.
This rule monitors network traffic from CommonSecurityLog data to detect bidirectional communication between NetScaler appliances and known malicious infrastructure associated with the CVE-2026-88772 campaign, which is indicative of command-and-control activity.
Detects the WMI provider host process (WmiPrvSE.exe) spawning common command-line or system administration tools such as cmd.exe, powershell.exe, or rundll32.exe. This activity is correlated with a preceding network connection to the host on port 135 (DCOM/WMI), which is indicative of lateral movement using WMI.
Detects sign-in attempts originating from IP address ranges known to be utilized by the TeamFiltration tool for password spraying operations against Azure environments.
Detects interactive RDP logons (LogonType 10) occurring on domain controllers or VDI authentication servers where the originating workstation name follows naming conventions associated with VDI/virtual-desktop environments. This pattern is indicative of potential lateral movement, where an adversary pivots from a compromised user VDI instance directly to sensitive infrastructure, bypassing established administrative jump box protocols.
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.
This rule detects administrative or user activity within Azure via AzureActivity logs and web request patterns in AppServiceHTTPLogs that originate from a predefined list of known malicious IP addresses.
This rule detects an exploitation attempt targeting a memory overflow vulnerability in Citrix NetScaler Gateway, specifically identifying oversized DTLS handshake length fields in UDP traffic. The rule triggers when a DTLS packet exceeds the specified size threshold, which is indicative of a buffer overflow attack intended to cause a service crash (Denial of Service).
This rule detects an exploitation attempt targeting a memory overflow vulnerability in Citrix NetScaler Gateway, specifically identifying oversized DTLS handshake length fields in UDP traffic. The rule triggers when a DTLS packet exceeds the specified size threshold, which is indicative of a buffer overflow attack intended to cause a service crash (Denial of Service).
This rule detects an exploitation attempt targeting a memory overflow vulnerability in Citrix NetScaler Gateway, specifically identifying oversized DTLS handshake length fields in UDP traffic. The rule triggers when a DTLS packet exceeds the specified size threshold, which is indicative of a buffer overflow attack intended to cause a service crash (Denial of Service).
This rule detects anomalous increases in inbound network connection volume or unique remote IP address counts associated with a specific process running on a Linux host. This behavior can be indicative of automated scanning, brute-forcing attempts, or a Denial of Service (DoS) attack targeting an exposed API service.
This rule identifies suspicious post-exploitation activity where an anomalous or unauthenticated NetScaler VPN session (potentially exploiting CVE-2026-88771 or CVE-2026-88772) is followed by the creation or modification of SSH authorized_keys files or related credential manipulation commands on internal hosts, suggesting an attacker establishing persistence.
This rule monitors for a rapid sequence of TCP SYN packets directed towards common administrative ports (SSH/22, RDP/3389, SMB/445) within a short window, indicative of an automated lateral movement scanning attempt or a brute-force discovery phase originating from within the internal network.
This rule detects external reconnaissance attempts targeting MLflow Tracking Servers by monitoring for inbound HTTP GET requests to the default MLflow API path '/api/2.0/mlflow/'. This behavior is indicative of an adversary scanning for exposed machine learning infrastructure, potentially to facilitate subsequent unauthorized access or exploitation of the tracking server.
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