Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The analytic detects instances where Java or Tomcat processes spawn a Linux shell. This activity may indicate exploitation attempts, such as those related to CVE-2021-44228 (Log4Shell). This detection leverages Endpoint Detection and Response (EDR) telemetry, focusing on process names and parent-child process relationships. This activity is significant as it can signify a compromised Java application, potentially leading to unauthorized shell access. If confirmed malicious, attackers could execute arbitrary commands, escalate privileges, or maintain persistent access, posing a severe threat to the environment.
KQL Query from file: New Redis RCE Alert: CVE-2025-49844
Detects the execution of Python web servers via command line interface (CLI).
After gaining access to target systems, adversaries may use Python's built-in HTTP server modules to quickly establish a web server without requiring additional software.
This technique is commonly used in post-exploitation scenarios as it provides a simple method for transferring files between the compromised host and attacker-controlled systems.
After gaining access to target systems, adversaries may use Python's built-in HTTP server modules to quickly establish a web server without requiring additional software.
This technique is commonly used in post-exploitation scenarios as it provides a simple method for transferring files between the compromised host and attacker-controlled systems.
Detects critical service crashes, fatal errors, and abnormal process terminations in Ollama that may indicate exploitation attempts, resource exhaustion attacks, malicious input triggering unhandled exceptions, or deliberate denial of service attacks designed to disrupt AI model availability and degrade system stability. The rule aggregates multiple termination events within a 5-minute window to identify sustained instability or attack patterns.
Detects data leakage and exfiltration attempts targeting Ollama model metadata and configuration endpoints. Adversaries repeatedly query /api/show, /api/tags, and /api/v1/models to systematically extract sensitive model information including architecture details, fine-tuning parameters, system paths, Modelfile configurations, and proprietary customizations. Multiple inspection attempts within a 15-minute window indicate automated exfiltration of valuable intellectual property such as custom model configurations, system prompts, and internal model specifications. This activity represents unauthorized data disclosure that could enable competitive intelligence gathering, model replication, or preparation for advanced attacks against the AI infrastructure.
Detects abnormal memory allocation patterns and excessive runner operations in Ollama that may indicate resource exhaustion attacks, memory abuse through malicious model loading, or attempts to degrade system performance by overwhelming GPU/CPU resources. Adversaries may deliberately load multiple large models, trigger repeated model initialization cycles, or exploit memory allocation mechanisms to exhaust available system resources, causing denial of service conditions or degrading performance for legitimate users.
Detects HTML phishing pages created by the 'IUAM ClickFix Generator'. These pages mimic browser verification challenges to trick users into executing malicious PowerShell or Bash commands to deliver infostealers like DeerStealer and Odyssey.
The analytic detects the creation or enabling of services on Linux platforms using the `systemctl` or `service` tools. It leverages Endpoint Detection and Response (EDR) logs, focusing on process names, parent processes, and command-line executions. This activity is significant as adversaries may create or modify services to maintain persistence or execute malicious payloads. If confirmed malicious, this behavior could lead to persistent access, data theft, ransomware deployment, or other damaging outcomes. Monitoring and investigating such activities are crucial for maintaining the security and integrity of the environment.
Tracks network events involving connections to specific Visual Studio Tunnel API URLs, which are used for remote development scenarios (like Visual Studio Code's Live Share or remote tunneling features).
This rule detects attempts to browse or access a predefined list of potentially malicious software packages. It monitors proxy logs for occurrences of these package names within the 'file.name' field. Further investigation of network traffic volume (bytes in/out) is recommended to ascertain if a download of the malicious package has taken place.
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 suspicious child processes spawned by a Java process, which may indicate post-exploitation activity related to the Oracle E-Business Suite vulnerability CVE-2025-61882. The exploit chain often results in a reverse shell.
Modifying Crontab
Sigma
Detects suspicious modification of crontab file.
Detects the addition of a new user to a privileged group such as "root" or "sudo"
Detects execution of the "esxcli" command with the "system" and "permission" flags in order to assign admin permissions to an account.
Detects the command line executed when TeamViewer starts a session started by a remote host.
Once a connection has been started, an investigator can verify the connection details by viewing the "incoming_connections.txt" log file in the TeamViewer folder.
Once a connection has been started, an investigator can verify the connection details by viewing the "incoming_connections.txt" log file in the TeamViewer folder.
Detects attempts to exploit a SQL injection vulnerability (CVE-2025-57819) in FreePBX via a malicious GET request to '/admin/ajax.php'. Attackers leverage this to achieve remote code execution by inserting a malicious cron job.
Detects suspicious child processes spawned by the GoAnywhere MFT Tomcat service. This behavior is consistent with post-exploitation activity following a successful remote code execution exploit of CVE-2025-10035, as observed in campaigns by the threat actor Storm-1175.
Detect attempt to enable auditing of TTY input
Detects the use of at/atd which are utilities that are used to schedule tasks.
They are often abused by adversaries to maintain persistence or to perform task scheduling for initial or recurring execution of malicious code
They are often abused by adversaries to maintain persistence or to perform task scheduling for initial or recurring execution of malicious code
Detects potential exploitation of CVE-2025-41244, a local privilege escalation vulnerability in VMware Tools and Aria Operations.
An attacker can stage a malicious binary in a world-writable directory (e.g., /tmp) which is then executed with root privileges by the VMware service discovery mechanism when it attempts to determine the binary's version.
An attacker can stage a malicious binary in a world-writable directory (e.g., /tmp) which is then executed with root privileges by the VMware service discovery mechanism when it attempts to determine the binary's version.
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