Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The following analytic detects the usage of `rclone.exe` with specific command-line arguments indicative of file transfer activities. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions and process details. This activity is significant as `rclone.exe` is often used by adversaries for data exfiltration, especially during ransomware attacks. If confirmed malicious, this behavior could lead to unauthorized data transfer, resulting in data breaches and potential loss of sensitive information. Immediate isolation of the affected endpoint and further investigation are recommended.
This rule detects the use of 'wmic.exe' to perform system disk and volume reconnaissance. Specifically, it looks for command-line arguments related to querying volume names, logical disks, and general volume information. This activity has been observed in campaigns by threat actors such as Volt Typhoon.
Detects when a Visual Studio Code configuration file is modified, followed by the execution of a shell or networking tool by VS Code. This pattern may indicate abuse of GitHub Copilot via prompt injection (CVE-2025-53773) to achieve remote code execution.
Detects the execution of the 'sudo' command with the '--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.
The following analytic detects the use of PowerShell scripts to load .NET assemblies into memory via reflection, a technique often used in malicious activities such as those by Empire and Cobalt Strike. It leverages PowerShell Script Block Logging (EventCode=4104) to capture and analyze the full command executed. This behavior is significant as it can indicate advanced attack techniques aiming to execute code in memory, bypassing traditional defenses. If confirmed malicious, this activity could lead to unauthorized code execution, privilege escalation, and persistent access within the environment.
Detects a PowerShell command line pattern used by Snake Keylogger to download and execute a payload. This pattern involves using Invoke-WebRequest to fetch a file and Start-Process to run it, often with parameters to hide the execution window. The rule also looks for execution from a temporary directory, a common malware technique.
This analytic detects instances of 'svchost.exe' spawning Living Off The Land Binaries and Scripts (LOLBAS) processes. It leverages Endpoint Detection and Response (EDR) data to monitor child processes of 'svchost.exe' that match known LOLBAS executables. This activity is significant as adversaries often use LOLBAS techniques to execute malicious code stealthily, potentially indicating lateral movement or code execution attempts. If confirmed malicious, this behavior could allow attackers to execute arbitrary commands, escalate privileges, or maintain persistence within the environment, posing a significant security risk.
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.
The following analytic detects multiple executions of Living off the Land (LOLbin) binaries on macOS within a short period. It leverages osquery to monitor process events and identifies commands such as "find", "crontab", "screencapture", "openssl", "curl", "wget", "killall", and "funzip". This activity is significant as LOLbins are often used by attackers to perform malicious actions while evading detection. If confirmed malicious, this behavior could allow attackers to execute arbitrary code, escalate privileges, or persist within the environment, posing a significant security risk.
This rule detects the use of various operating system utilities to discover local accounts, system owners, or users. It specifically looks for the execution of `whoami.exe`, `quser.exe`, `qwinsta.exe`, `wmic.exe` with 'useraccount' and 'get' in the command line, `cmdkey.exe` with the '/l' flag, `cmd.exe` executing 'dir \Users\', and `net.exe` or `net1.exe` with 'user' in the command line, while filtering out common legitimate uses of `net` and `cmd dir` commands.
Detects process execution with at least two command-line arguments commonly used by Qilin ransomware.
The following analytic detects suspicious usage of BitLockerToGo.exe, which has been observed being abused by Lumma stealer malware. The malware leverages this legitimate Windows utility to manipulate registry keys, search for cryptocurrency wallets and credentials, and exfiltrate sensitive data. This activity is significant because BitLockerToGo.exe provides functionality for viewing, copying, and writing files as well as modifying registry branches - capabilities that the Lumma stealer exploits for malicious purposes. If confirmed malicious, this could indicate an active data theft campaign targeting cryptocurrency wallets, browser credentials, and password manager archives. The detection focuses on identifying BitLockerToGo.exe execution patterns that deviate from normal system behavior.
The following analytic detects the execution of regasm.exe establishing a network connection to a public IP address, excluding private IP ranges. This detection leverages Sysmon EventID 3 logs to identify such behavior. This activity is significant as regasm.exe is a legitimate Microsoft-signed binary that can be exploited to bypass application control mechanisms. If confirmed malicious, this behavior could indicate an adversary's attempt to establish a remote Command and Control (C2) channel, potentially leading to privilege escalation and further malicious actions within the environment.
The following analytic identifies `services.exe` spawning a LOLBAS (Living Off the Land Binaries and Scripts) execution process. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events where `services.exe` is the parent process. This activity is significant because adversaries often abuse the Service Control Manager to execute malicious code via native Windows binaries, facilitating lateral movement. If confirmed malicious, this behavior could allow attackers to execute arbitrary code, escalate privileges, or maintain persistence within the environment, posing a severe security risk.
The following analytic identifies instances of Regsvcs.exe establishing a network connection to a public IP address, excluding private IP ranges. This detection leverages Sysmon EventID 3 logs to monitor network connections initiated by Regsvcs.exe. This activity is significant as Regsvcs.exe, a legitimate Microsoft-signed binary, can be exploited to bypass application control mechanisms and establish remote Command and Control (C2) channels. If confirmed malicious, this behavior could allow an attacker to escalate privileges, persist in the environment, and exfiltrate sensitive data. Immediate investigation and remediation are recommended.
This analytic detects the presence of "api.telegram.org" in the command line of a process. This activity is significant because the Telegram API has been used as an exfiltration mechanism or as a Command and Control (C2) channel by adversaries. If confirmed malicious, this could indicate an attacker or malware is exfiltrating data or receiving additional C2 instructions, potentially leading to further compromise and persistence within the network. The rule leverages process execution logs from Endpoint Detection and Response (EDR) agents.
This analytic detects the creation of scheduled tasks on Windows systems where the command arguments include HTTP strings. This behavior is often indicative of malware activity or the use of Living off the Land binaries (LOLBins) to download additional payloads. Such activity, if malicious, could lead to data exfiltration, malware propagation, or unauthorized access.
This detection identifies when a startup procedure is registered or executed in SQL Server. Startup procedures automatically execute when SQL Server starts, making them an attractive persistence mechanism for attackers. The detection monitors for suspicious stored procedure names and patterns that may indicate malicious activity, such as attempts to execute operating system commands or gain elevated privileges.
Detects the execution of suspicious commands often used in Command and Control (C2) activities, as identified in Florian Roth's 'Best Practice Auditd Configuration'. These commands include `wget`, `curl`, `base64`, `nc`, `netcat`, `ncat`, `ssh`, `socat`, `wireshark`, `rawshark`, `rdesktop`, and `nmap`. These tools can be leveraged for various adversarial techniques such as data transfer, remote access, network discovery, and data encoding.
The following analytic detects the modification of firewall settings to allow file and printer sharing. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions involving 'netsh' commands that enable file and printer sharing. This activity is significant because it can indicate an attempt by ransomware to discover and encrypt files on additional machines connected to the compromised host. If confirmed malicious, this could lead to widespread file encryption across the network, significantly increasing the impact of a ransomware attack.
The following analytic identifies the execution of rundll32.exe with the DLL function names "Start" and "StartW," commonly associated with Cobalt Strike payloads. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions and process metadata. This activity is significant as it often indicates the presence of malicious payloads, such as Cobalt Strike, which can lead to unauthorized code execution. If confirmed malicious, this activity could allow attackers to inject shellcode, escalate privileges, and maintain persistence within the environment.
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