Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule set detects potential post-exploitation activity and exploitation attempts targeting Ivanti EPMM (formerly MobileIron Core). The first rule, `ivanti_epmm_java_spawns_shell`, identifies suspicious process creation where a Java or Tomcat process (parent process) spawns a shell process (cmd.exe, bash, sh, or powershell.exe). This behavior is indicative of an attacker gaining remote code execution and using the compromised Java/Tomcat process to execute system commands. The second rule, `ivanti_epmm_http_featureusage_exploit`, detects HTTP requests to the `/api/v2/featureusage` endpoint that contain parameters indicative of Expression Language (EL) injection or format string abuse, specifically looking for `format=` along with keywords like `${`, `Runtime`, `exec`, or `getRuntime` in the URL. This suggests an attempt to exploit a vulnerability in the Ivanti EPMM application to achieve remote code execution.
Detects network traffic on TCP port 18789, the default gateway port for OpenClaw. Monitoring for unauthorized external access to this port helps identify exposed admin dashboards or exploitation.
Detects network connections to domains and IPs associated with the Notepad++ supply chain attack. These indicators are linked to the distribution of Cobalt Strike and the Chrysalis backdoor.
Detects HTTP requests containing the specific parameter 'k0f53cf964d387' in the query string or POST body. This parameter is the unique trigger used to activate the dormant 'base.Info' in-memory loader on vulnerable Ivanti EPMM instances.
Detects network connections to or from a known malicious Command and Control (C2) IP address (91.92.242.30) associated with malicious OpenClaw/ClawdBot skills.
This detection monitors for web requests to the specific URI path "/mifs/403.jsp". This path is known to be used by attackers to deploy a dormant Java-based webshell ("sleeper shell") on vulnerable Ivanti Endpoint Manager Mobile (EPMM) instances as part of an initial access campaign.
Detects HTTP POST requests to n8n webhook endpoints containing patterns associated with CVE-2026-25049, a type confusion vulnerability leading to Remote Code Execution. The detection looks for specific JavaScript destructuring or property access patterns used to bypass sanitization.
This rule detects when popular Remote Monitoring and Management (RMM) tools initiate network connections to public IP addresses. This behavior can be indicative of legitimate administrative tasks, but also of malicious activity where adversaries use these tools for remote access and control within a compromised environment. The rule specifically filters out connections to private IP ranges to reduce false positives related to internal network communication.
Detects the DKnife gateway-monitoring framework, a toolset used by China-nexus actors for adversary-in-the-middle (AitM) attacks, based on specific file, network, and persistence artifacts.
Detects HTTP requests where the User-Agent string contains a full URL pointing to 'temp.sh'. This technique was observed in the Notepad++ supply chain attack where attackers passed the URL of exfiltrated data back to their C2 server within the User-Agent header.
Detects network traffic indicative of the Diaoyu Loader downloading second-stage payloads from GitHub. The loader masquerades these payloads as image files within a WordPress-like directory structure.
This query hunts for network activity and other events related to specific domains (freefoodaid.com, wellnessmedcare.org) potentially associated with CVE-2026-21509. It searches DNS queries, network connections, generic web proxy/firewall logs, and URL click events to identify interactions with these domains.
Detects DKnife attempting to discover network information by sending a POST request with a specific password hash to a router management interface. This activity is associated with the DKnife framework, a China-nexus gateway-monitoring tool.
ClawdBot C2 Network Communication
Cortex XDR
Detects network connections to known malicious ClawdBot command and control (C2) infrastructure based on specific IP addresses and hostnames.
Detects a high frequency of ICMP Echo Request (Type 8) packets, which could indicate a Denial of Service (DoS) attack.
Detects network connections from the Notepad++ updater process (gup.exe) to domains that are not part of the official update infrastructure. The primary attack vector for this threat involves intercepting GUP traffic to redirect downloads to malicious third-party servers.
Detects inbound network connections from external (non-loopback, non-private) IP addresses to ports commonly used by Clawdbot/Moltbot gateways (3000, 8080, 16007). An exposed gateway is a significant security risk that can allow unauthorized remote administrative control over the AI agent.
Detects network traffic to or from known IP addresses associated with TA584 command and control (C2) servers and hosting infrastructure. This actor is a known initial access broker, and infections can lead to ransomware.
Detects a behavioral sequence where an AI agent runtime (e.g., Node.js, Python) spawns a shell to execute a web request utility like curl or wget. This pattern is a strong indicator of automated data exfiltration, often resulting from a successful prompt injection attack that instructs the agent to steal and send data to an attacker-controlled server.
Detects network connections to known C2 servers and payload delivery URLs associated with a PureRAT campaign. This activity is linked to a Vietnamese threat actor using AI to generate their toolset.
Detects network traffic to fallback command and control (C2) domains generated by the 'Children Protection' malicious browser extension. The extension uses a Domain Generation Algorithm (DGA) based on the current date to provide resilient C2 infrastructure.
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