Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This analytic detects suspicious data transfer activities involving the use of the `split` syscall with the `-b` option, which specifies the size of each output file. This technique can be used by attackers to evade detection by breaking large files into smaller parts, bypassing size-based security controls, and facilitating covert exfiltration of sensitive data. By monitoring for unusual or unauthorized use of the `split` syscall with a specified block size, this analytic helps identify potential data exfiltration attempts.
The analytic detects the use of SSH to move laterally and execute a script or file on a remote host. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on specific SSH command-line parameters and URLs. This activity is significant as it may indicate an attacker attempting to execute remote commands or scripts, potentially leading to unauthorized access or control over additional systems. If confirmed malicious, this could result in lateral movement, privilege escalation, or the execution of malicious payloads, compromising the security of the network.
This analytic identifies the bulk creation of ransomware notes (e.g., .txt, .html, .hta files) on an infected machine. It leverages Sysmon EventCode 11 to detect multiple instances of these file types being created within a short time frame (10 seconds). A detection is triggered if 15 or more unique readme paths are observed. This activity is a strong indicator of an active ransomware attack, where the attacker is notifying the victim of the encryption. If confirmed malicious, this behavior could lead to widespread data encryption, rendering critical files inaccessible and potentially causing significant operational disruption.
The following analytic detects suspicious attempts to find credentials stored in password stores, indicating a potential attacker's effort to access sensitive login information. Password stores are critical repositories that contain valuable credentials, and unauthorized access to them can lead to significant security breaches. By monitoring for unusual or unauthorized activities related to password store access, this analytic helps identify potential credential theft attempts, allowing security teams to respond promptly and prevent unauthorized access to critical systems and data.
This analytic detects instances where web or application server processes (such as Java, Tomcat, Apache, Nginx, Node, Caddy, IIS, PHP) spawn a Linux or Windows shell. This activity is highly indicative of successful exploitation, potentially related to vulnerabilities like Log4Shell (CVE-2021-44228) or Spring4Shell (CVE-2022-22965), leading to unauthorized command execution, privilege escalation, or persistent access. The detection leverages Endpoint Detection and Response (EDR) telemetry, focusing on parent-child process relationships and process names.
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 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 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 execution of TruffleHog, a tool used to search for secrets in different platforms like Git, Jira, Slack, SharePoint, etc. that could be used maliciously.
While it is a legitimate tool, intended for use in CI pipelines and security assessments,
It was observed in the Shai-Hulud malware campaign targeting npm packages to steal sensitive information.
While it is a legitimate tool, intended for use in CI pipelines and security assessments,
It was observed in the Shai-Hulud malware campaign targeting npm packages to steal sensitive information.
Detects the use of systemctl mask to disable system power management targets such as suspend, hibernate, or hybrid sleep.
Adversaries may mask these targets to prevent a system from entering sleep or shutdown states, ensuring their malicious processes remain active and uninterrupted.
This behavior can be associated with persistence or defense evasion, as it impairs normal system power operations to maintain long-term access or avoid termination of malicious activity.
Adversaries may mask these targets to prevent a system from entering sleep or shutdown states, ensuring their malicious processes remain active and uninterrupted.
This behavior can be associated with persistence or defense evasion, as it impairs normal system power operations to maintain long-term access or avoid termination of malicious activity.
Detects the execution of 'sudo' command with '--chroot' option, which is used to change the root directory for command execution.
Attackers may use this technique to evade detection and execute commands in a modified environment.
This can be part of a privilege escalation strategy, as it allows the execution of commands with elevated privileges in a controlled environment as seen in CVE-2025-32463.
While investigating, look out for unusual or unexpected use of 'sudo --chroot' in conjunction with other commands or scripts such as execution from temporary directories or unusual user accounts.
Attackers may use this technique to evade detection and execute commands in a modified environment.
This can be part of a privilege escalation strategy, as it allows the execution of commands with elevated privileges in a controlled environment as seen in CVE-2025-32463.
While investigating, look out for unusual or unexpected use of 'sudo --chroot' in conjunction with other commands or scripts such as execution from temporary directories or unusual user accounts.
This analytic detects the configuration of TFTP services on Cisco IOS devices that could be used to exfiltrate sensitive configuration files. Threat actors like Static Tundra have been observed configuring TFTP servers to make device configuration files accessible for exfiltration after gaining initial access. The detection specifically looks for commands that expose critical configuration files such as startup-config, running-config, and other sensitive system information through TFTP. This activity is particularly concerning as it may represent an attempt to steal credentials, network topology information, and other sensitive data stored in device configurations.
This rule detects the execution of any process that originates from the '/tmp/' directory on a Linux system. The '/tmp/' directory is often used by adversaries to stage and execute malicious payloads, as it is typically writable by all users and can be used to bypass certain security controls. The rule specifically excludes executions of '/usr/bin/nextcloud' from '/tmp/' to reduce false positives.
The analytic detects the execution of the 'gdrive' tool on a Linux host. This tool allows standard users to perform tasks associated with Google Drive via the command line, such as downloading, uploading, listing, updating, syncing, sharing, and managing accounts or files. Adversaries can use this tool to stage other tools or exfiltrate data. The detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. If confirmed malicious, this activity could lead to system compromise or sensitive data theft.
Detects suspicious use of curl or wget on Linux systems to download content from external domains. The detection extracts target domains from the command line arguments and filters out known legitimate destinations (e.g., GitHub, Linux package mirrors).
Optionally, it enriches results with data from the ThreatIntelligenceIndicator table to highlight known malicious domains associated with malware, C2, or APT activity. This can be used to prioritize alerts or support automated scoring.
The detection is based on syslog and is designed to reduce noise while preserving high-value findings.
Optionally, it enriches results with data from the ThreatIntelligenceIndicator table to highlight known malicious domains associated with malware, C2, or APT activity. This can be used to prioritize alerts or support automated scoring.
The detection is based on syslog and is designed to reduce noise while preserving high-value findings.
This detection identifies potential exploitation attempts against Citrix NetScaler appliances vulnerable to CVE-2025-5777 (CitrixBleed 2), focusing on suspicious POST requests and memory spillage in logoff entries.
This rule looks for the usage of the torsocks process which can be used by threat actors to proxy connections through the Tor network to exfiltrate data or download further payloads. The usage of this process should always be considered suspicious.
This detection identifies when all virtual machines on an ESXi host are abruptly terminated, which may indicate malicious activity such as a deliberate denial-of-service, ransomware staging, or an attempt to destroy critical workloads. The rule specifically looks for `pkill -9 vmx-*` or `esxcli` commands used to kill VM processes.
Detects suspicious use of command-line tools such as curl or wget to download remote content - particularly scripts - into temporary directories (e.g., /dev/shm, /tmp), followed by immediate execution, indicating potential malicious activity. This pattern is commonly used by malicious scripts, stagers, or downloaders in fileless or multi-stage Linux attacks.
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