Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
9,759 detections
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The analytic detects the use of the PowerShell cmdlet `Export-PfxCertificate` on the command line, indicating an attempt to export a certificate from the local Windows Certificate Store. This activity is significant as it may indicate an attempt to exfiltrate authentication certificates, which can be used to impersonate users or decrypt sensitive data. If confirmed malicious, this could lead to unauthorized access and potential data breaches.
The following analytic detects the execution of the Windows built-in tool netsh.exe to display the state, configuration, and profile of the host firewall. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions and process metadata. Monitoring this activity is crucial as netsh.exe can be used by adversaries to bypass firewall rules or discover firewall settings. If confirmed malicious, this activity could allow attackers to manipulate firewall configurations, potentially leading to unauthorized network access or data exfiltration.
The following analytic detects the execution of Syncappvpublishingserver.vbs via wscript.exe or cscript.exe, which may indicate an attempt to download remote files or perform privilege escalation. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. Monitoring this activity is crucial as it can signify malicious use of a native Windows script for unauthorized actions. If confirmed malicious, this behavior could lead to unauthorized file downloads or elevated privileges, posing a significant security risk.
The following analytic identifies instances of the WinDBG process spawning AutoIt3. This behavior is detected by monitoring endpoint telemetry for processes where 'windbg.exe' is the parent process and 'autoit3.exe' or similar is the child process. This activity is significant because AutoIt3 is frequently used by threat actors for scripting malicious automation, potentially indicating an ongoing attack. If confirmed malicious, this could allow attackers to automate tasks, execute arbitrary code, and further compromise the system, leading to data exfiltration or additional malware deployment.
The following analytic detects a suspicious modification of the registry aimed at bypassing User Account Control (UAC) by leveraging WSReset.exe. It identifies the creation or modification of specific registry values under the path "*\AppX82a6gwre4fdg3bt635tn5ctqjf8msdd2\Shell\open\command*". This detection uses data from Endpoint Detection and Response (EDR) agents, focusing on process and registry events. This activity is significant because UAC bypass techniques can allow attackers to execute high-privilege actions without user consent. If confirmed malicious, this could lead to unauthorized code execution and potential system compromise.
This analytic identifies DNS queries from internal hosts to dynamic domain providers. It leverages DNS query logs from the `Network_Resolution` data model and cross-references them with a lookup file containing known dynamic DNS providers. This activity is significant because attackers often use dynamic DNS services to host malicious payloads or command-and-control servers, making it crucial for security teams to monitor. If confirmed malicious, this activity could allow attackers to bypass firewall blocks, evade detection, and maintain persistent access to the network.
This analytic identifies DNS queries with unusually large lengths by computing the standard deviation of query lengths and filtering those exceeding twice the standard deviation. It leverages DNS query data from the Network_Resolution data model, focusing on the length of the domain names being resolved. This activity is significant as unusually long DNS queries can indicate data exfiltration or command-and-control communication attempts. If confirmed malicious, this activity could allow attackers to stealthily transfer data or maintain persistent communication channels within the network.
The analytic detects a registry modification that disables Event Tracing for Windows (ETW) for the .NET Framework. This is achieved by setting the 'ETWEnabled' registry value to '0x00000000' under the '.NETFramework' path. Disabling ETW can be used by attackers to evade Endpoint Detection and Response (EDR) tools and hide their activities from audit logs, potentially leading to undetected compromise and persistent access.
The analytic detects the execution of `powershell.exe` running the `Get-ADUserResultantPasswordPolicy` cmdlet, which is used to obtain the password policy in a Windows domain. This activity indicates potential enumeration of domain policies, a common tactic for situational awareness and Active Directory discovery by adversaries. If confirmed malicious, this could allow attackers to understand password policies, aiding in further attacks such as password spraying or brute force attempts.
The following analytic detects the execution of `powershell.exe` running the `Get-DomainPolicy` cmdlet, which is used to retrieve password policies in a Windows domain. This activity is significant as it indicates potential reconnaissance efforts by adversaries to gather domain policy information, which is crucial for planning further attacks. If confirmed malicious, this could lead to unauthorized access to sensitive domain configurations, aiding in privilege escalation and lateral movement within the network.
The analytic detects the use of the `Get-WMIObject Win32_Group` command executed via PowerShell or cmd.exe to enumerate local groups on an endpoint. This activity is often a precursor to privilege escalation or lateral movement, as attackers map out group memberships to identify potential exploitation paths or unauthorized access to sensitive resources.
The analytic detects the execution of `powershell.exe` with command-line arguments invoking the `GetCurrent` method of the WindowsIdentity .NET class. This activity is significant as adversaries may use this method to identify the logged-in user on a compromised endpoint, aiding in situational awareness and Active Directory discovery. If confirmed malicious, this could allow attackers to gain insights into user context, potentially facilitating further exploitation and lateral movement within the network.
The analytic identifies the execution of `powershell.exe` with the `Get-NetTcpConnection` command, which lists current TCP connections on a system. This activity may indicate an adversary or Red Team performing network reconnaissance or situational awareness, potentially aiding in lateral movement or further exploitation within the network.
The following analytic detects the execution of `powershell.exe` with command-line arguments that utilize the `Get-WmiObject` cmdlet to discover remote systems, specifically targeting the `DS_Computer` parameter. This detection 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 enumerate domain computers and gather situational awareness within Active Directory. If confirmed malicious, this behavior could allow attackers to map the network, identify critical systems, and plan further attacks, potentially leading to unauthorized access and data exfiltration.
This analytic detects the execution of BusyBox with sudo privileges, which can lead to privilege escalation on Linux systems. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events where BusyBox is executed with both 'sh' and 'sudo' commands. This activity is significant because it indicates a user may be attempting to gain root access, bypassing standard security controls. If confirmed malicious, this could allow an attacker to execute arbitrary commands as root, leading to full system compromise and potential persistence within the environment.
The following analytic detects the execution of a Unix shell command designed to wipe root directories on a Linux host. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on the 'rm' command with force recursive deletion and the '--no-preserve-root' option. This activity is significant as it indicates potential data destruction attempts, often associated with malware like Awfulshred. If confirmed malicious, this behavior could lead to severe data loss, system instability, and compromised integrity of the affected Linux host. Immediate investigation and response are crucial to mitigate potential damage.
The analytic detects the deletion of SSL certificates on a Linux machine. It leverages filesystem event logs to identify when files with extensions .pem or .crt are deleted from the /etc/ssl/certs/ directory. This activity is significant because attackers may delete or modify SSL certificates to disable security features or evade defenses on a compromised system. If confirmed malicious, this behavior could indicate an attempt to disrupt secure communications, evade detection, or execute a destructive payload, potentially leading to significant security breaches and data loss.
The following analytic detects the execution of the "swapoff" command, which disables the swapping of paging devices on a Linux system. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs. This activity is significant because disabling swap can be a tactic used by malware, such as Awfulshred, to evade detection and hinder forensic analysis. If confirmed malicious, this action could allow an attacker to manipulate system memory management, potentially leading to data corruption, system instability, or evasion of memory-based detection mechanisms.
The analytic detects suspicious command lines that append user entries to `/etc/at.allow` or `/etc/at.deny` files on Linux systems. This activity is significant because altering these configuration files can allow attackers to schedule tasks with elevated permissions, facilitating persistence on a compromised Linux host. If confirmed malicious, this could enable attackers to execute arbitrary code at scheduled intervals, potentially leading to further system compromise and unauthorized access to sensitive information. The rule specifically looks for `echo` commands writing to these files.
The following analytic detects potential unauthorized modifications to Linux cronjobs using text editors like "nano," "vi," or "vim." It identifies this activity by monitoring command-line executions that interact with cronjob configuration paths. This behavior is significant for a SOC as it may indicate attempts at privilege escalation or establishing persistent access. If confirmed malicious, the impact could be severe, allowing attackers to execute damaging actions such as data theft, system sabotage, or further network penetration.
The following analytic detects a process modifying the registry with a known malicious CLSID under InProcServer32. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on registry modifications within the HKLM or HKCU Software Classes CLSID paths. This activity is significant as it may indicate an attempt to load a malicious DLL, potentially leading to code execution. If confirmed malicious, this could allow an attacker to persist in the environment, execute arbitrary code, or escalate privileges, posing a severe threat to system integrity and security.
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