Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
9,759 detections
Filters
Last updated
All Time
Detection languages
3,724
2,036
1,335
1,055
969
Contributors
2,963
2,050
1,372
1,226
485
Categories
5,718
3,075
1,138
900
659
Platforms
9,646
658
432
53
30
Products / Services
10,683
9,759
6,695
4,421
3,750
MITRE Techniques
3,828
3,376
1,980
1,617
1,042
CVEs
18
14
12
12
11
This analytic detects any system integrity level process spawned by a non-system account. It leverages Sysmon EventID 1, focusing on process integrity and parent user data. This behavior is significant as it often indicates successful privilege escalation to SYSTEM from a user-controlled process or service. If confirmed malicious, this activity could allow an attacker to gain full control over the system, execute arbitrary code, and potentially compromise the entire environment.
The analytic identifies a suspicious instance of wermgr.exe spawning a child process unrelated to error or fault handling. This activity is significant as it can indicate Qakbot malware, which injects malicious code into wermgr.exe to evade detection and execute malicious actions. If confirmed malicious, this behavior could allow an attacker to conduct reconnaissance, execute arbitrary code, and persist within the network, posing a severe security risk.
The following analytic detects changes in the ScManager service security descriptor settings. It leverages data from Endpoint Detection and Response (EDR) agents, specifically searching for any process execution involving the "sc.exe" binary with the "sdset" flag targeting the "scmanager" service. If confirmed malicious, this could allow an attacker to escalate their privileges.
The following analytic detects the execution of `sc.exe` with command-line arguments used to start a Windows Service on a remote endpoint. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. This activity is significant because adversaries may exploit the Service Control Manager for lateral movement and remote code execution. If confirmed malicious, this could allow attackers to execute arbitrary code on remote systems, potentially leading to further compromise and persistence within the network.
The following analytic detects the execution of the Windows OS tool quser.exe, commonly used to gather information about user sessions on a Remote Desktop Session Host server. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs. Monitoring this activity is crucial as quser.exe is often abused by post-exploitation tools like winpeas, used in ransomware attacks to enumerate user sessions. If confirmed malicious, attackers could leverage this information to further compromise the system, maintain persistence, or escalate privileges.
This analytic detects a suspicious process attempting to terminate the Lsass.exe process. It leverages Sysmon EventCode 10 logs to identify processes granted PROCESS_TERMINATE access to Lsass.exe. This activity is significant because Lsass.exe is a critical process responsible for enforcing security policies and handling user credentials. If confirmed malicious, this behavior could indicate an attempt to perform credential dumping, privilege escalation, or evasion of security policies, potentially leading to unauthorized access and persistence within the environment.
The analytic detects instances of the 3CXDesktopApp.exe with a FileVersion of 18.12.x, specifically focusing on vulnerable versions 18.12.407 and 18.12.416. This is crucial for identifying potential exploitation of known vulnerabilities in these specific versions, which could lead to unauthorized access, code execution, or further system compromise.
The analytic detects the execution of `powershell.exe` with command-line arguments that utilize `Get-DomainComputer` to discover remote systems. This activity is significant as `Get-DomainComputer` is part of PowerView, a tool often used by adversaries for domain enumeration and situational awareness. If confirmed malicious, this activity could allow attackers to map out the network, identify critical systems, and plan further attacks, potentially leading to unauthorized access and data exfiltration.
This analytic identifies the execution of `powershell.exe` with command-line arguments used to query domain groups via the `Get-WmiObject` cmdlet and the `-class ds_group` parameter. This activity indicates potential reconnaissance efforts by adversaries to enumerate domain groups, which is a common step in Active Directory Discovery. If confirmed malicious, this could allow attackers to gain insights into the domain structure, aiding in further attacks and privilege escalation.
The analytic detects the creation of the `doas.conf` file on a Linux host. This file is used by the `doas` utility to allow standard users to perform tasks as root, similar to `sudo`. The detection leverages filesystem data, focusing on the creation of the `doas.conf` file. This activity is significant because it can indicate an attempt to gain elevated privileges, potentially by an adversary. If confirmed malicious, this could allow an attacker to execute commands with root privileges, leading to full system compromise.
The following analytic detects the use of the curl command with specific switches (-O, -sO, -ksO, --output) commonly used to download remote scripts or binaries. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. This activity is significant as it may indicate an attempt to download and execute potentially malicious files, often used in initial stages of an attack. If confirmed malicious, this could lead to unauthorized code execution, enabling attackers to compromise the system further.
The following analytic detects the deletion of Linux service unit configuration files by suspicious processes. It leverages Endpoint Detection and Response (EDR) telemetry, focusing on processes executing the 'rm' command targeting '.service' files. This activity is significant as it may indicate malware attempting to disable critical services or security products, a common defense evasion tactic. If confirmed malicious, this behavior could lead to service disruption, security tool incapacitation, or complete system compromise, severely impacting the integrity and availability of the affected Linux host.
The analytic detects the use of the 'make' command with elevated privileges to execute system commands as root, potentially leading to a root shell. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions that include 'make', '--eval', and 'sudo'. This activity is significant because it indicates a possible privilege escalation attempt, allowing a user to gain root access. If confirmed malicious, an attacker could achieve full control over the system, execute arbitrary commands, and compromise the entire environment.
The following analytic detects the execution of `wmic.exe` with command-line arguments used to query local user accounts, specifically the `useraccount` argument. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs that include command-line details. This activity is significant as it indicates potential reconnaissance efforts by adversaries to enumerate local users, which is a common step in situational awareness and Active Directory discovery. If confirmed malicious, this behavior could lead to further targeted attacks, privilege escalation, or lateral movement within the network.
The following analytic identifies attempts to disable Windows Defender real-time behavior monitoring via PowerShell commands. It detects the use of specific `Set-MpPreference` parameters that disable various security features. This activity is significant as it is commonly used by malware such as RATs, bots, or Trojans to evade detection by disabling antivirus protections. If confirmed malicious, this action could allow an attacker to operate undetected, leading to potential data exfiltration, further system compromise, or persistent access within the environment.
The analytic detects the execution of Regsvr32.exe with the silent switch (`-s` or `/s`) to load DLLs. This behavior is commonly used in malware campaigns, such as IcedID, to stealthily load malicious DLLs, allowing attackers to execute arbitrary code, download additional payloads, and potentially compromise the system. The detection leverages Endpoint Detection and Response (EDR) telemetry, specifically focusing on command-line executions.
The following analytic detects the execution of `wmic.exe` with specific command-line arguments used to discover remote systems within a domain. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. This activity is significant as it indicates potential reconnaissance efforts by adversaries to map out network resources and Active Directory structures. If confirmed malicious, this behavior could allow attackers to gain situational awareness, identify critical systems, and plan further attacks, potentially leading to unauthorized access and data exfiltration.
The analytic detects the execution of `wmic.exe` with the `node` switch, indicating an attempt to spawn a local or remote process. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events and command-line arguments. This activity is significant as it may indicate lateral movement or remote code execution attempts by an attacker. If confirmed malicious, the attacker could gain remote control over the targeted system, execute arbitrary commands, and potentially escalate privileges or persist within the environment.
This analytic detects the execution of the rundll32.exe command with the user32.dll,LockWorkStation parameter. This specific command is used to lock the workstation via the command line, which is an uncommon method. This activity has been observed in CONTI ransomware tooling for defense evasion purposes. If confirmed malicious, this technique could indicate an attempt to evade detection and hinder incident response efforts.
The following analytic detects the creation of a file named "test.txt" within the Windows system directory, indicative of Samsam ransomware propagation. It leverages file-system activity data from the Endpoint data model, specifically monitoring file paths within the Windows System32 directory. This activity is significant as it aligns with known Samsam ransomware behavior, which uses such files for propagation and execution. If confirmed malicious, this could lead to ransomware deployment, resulting in data encryption, system disruption, and potential data loss. Immediate investigation and remediation are crucial to prevent further damage.
This analytic identifies instances where the `reg.exe` utility is launched from a command prompt (`cmd.exe`) that was not initiated by a user, specifically when the parent process is not `explorer.exe`. This activity is significant because `reg.exe` is commonly used for registry manipulation, which can be indicative of malicious behavior such as establishing persistence mechanisms or altering system configurations. If confirmed malicious, this could allow an attacker to modify critical system settings, potentially leading to privilege escalation or persistent access.
Page 427 of 465