Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
9,759 detections
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The following analytic detects the use of the .NET compiler csc.exe for on-the-fly compilation of potentially malicious .NET code. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on specific command-line patterns associated with csc.exe. This activity is significant because adversaries and malware often use this technique to evade detection by compiling malicious code at runtime. If confirmed malicious, this could allow attackers to execute arbitrary code, potentially leading to system compromise, data exfiltration, or further lateral movement within the network.
The following analytic detects the use of reg.exe to modify registry keys associated with Windows services and their configurations. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names, parent processes, and command-line executions. This activity is significant because unauthorized changes to service registry keys can indicate an attempt to establish persistence or escalate privileges. If confirmed malicious, this could allow an attacker to control service behavior, potentially leading to unauthorized code execution or system compromise.
The following analytic identifies the execution of Odbcconf.exe within the environment. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process creation events where the process name is Odbcconf.exe. This activity is significant because Odbcconf.exe can be used by attackers to execute arbitrary commands or load malicious DLLs, potentially leading to code execution or persistence. If confirmed malicious, this behavior could allow an attacker to maintain access to the system, execute further malicious activities, or escalate privileges, posing a significant threat to the environment.
The following analytic detects suspicious modifications to the Active Setup registry for persistence and privilege escalation. It leverages data from the Endpoint.Registry data model, focusing on changes to the "StubPath" value within the "SOFTWARE\\Microsoft\\Active Setup\\Installed Components" path. This activity is significant as it is commonly used by malware, adware, and APTs to maintain persistence on compromised machines. If confirmed malicious, this could allow attackers to execute code upon system startup, potentially leading to further system compromise and unauthorized access.
This analytic identifies the use of `certutil.exe` with arguments indicating the manipulation or extraction of certificates. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. This activity is significant because extracting certificates can allow attackers to sign new authentication tokens, particularly in federated environments like Windows ADFS. If confirmed malicious, this could enable attackers to forge authentication tokens, potentially leading to unauthorized access and privilege escalation within the network.
The following analytic detects the creation of an lsass.exe process dump using Windows Task Manager. It leverages Sysmon EventID 11 to identify file creation events where the target filename matches *lsass*.dmp. This activity is significant because creating an lsass dump can be a precursor to credential theft, as the dump file contains sensitive information such as user passwords. If confirmed malicious, an attacker could use the lsass dump to extract credentials and escalate privileges, potentially compromising the entire network.
The analytic identifies potential exploitation of Log4Shell CVE-2021-44228 by correlating multiple MITRE ATT&CK tactics detected in risk events. It leverages Splunk's risk data model to calculate the distinct count of MITRE ATT&CK tactics from Log4Shell-related detections. This activity is significant because it indicates a high probability of exploitation if two or more distinct tactics are observed. If confirmed malicious, this activity could lead to initial payload delivery, callback to a malicious server, and post-exploitation activities, potentially resulting in unauthorized access, lateral movement, and further compromise of the affected systems.
The following analytic detects any Windows Office Product spawning `rundll32.exe` without a `.dll` file extension. This behavior is identified using Endpoint Detection and Response (EDR) telemetry, focusing on process and parent process relationships. This activity is significant as it is a known tactic of the IcedID malware family, which can lead to unauthorized code execution. If confirmed malicious, this could allow attackers to execute arbitrary code, potentially leading to data exfiltration, system compromise, or further malware deployment. Immediate investigation and containment are recommended.
The following analytic detects the installation of a root CA certificate by monitoring specific registry paths for SetValue events. It leverages data from the Endpoint datamodel, focusing on registry paths containing "certificates" and registry values named "Blob." This activity is significant because unauthorized root CA certificates can compromise the integrity of encrypted communications and facilitate man-in-the-middle attacks. If confirmed malicious, this could allow an attacker to intercept, decrypt, or manipulate sensitive data, leading to severe security breaches.
The analytic detects `regasm.exe` spawning a child process. This behavior is identified using data from Endpoint Detection and Response (EDR) agents, focusing on process creation events where `regasm.exe` is the parent process. This activity is significant because `regasm.exe` spawning a process is rare and can indicate an attempt to bypass application control mechanisms. If confirmed malicious, this could allow an attacker to execute arbitrary code, potentially leading to privilege escalation or persistent access within the environment. Immediate investigation is recommended to determine the legitimacy of the spawned process and any associated activities.
The following analytic detects the modification of Windows Defender registry settings to disable antivirus and antispyware protections. It leverages data from the Endpoint.Registry data model, specifically monitoring changes to registry paths associated with Windows Defender policies. This activity is significant because disabling antivirus protections is a common tactic used by adversaries to evade detection and maintain persistence on compromised systems. If confirmed malicious, this action could allow attackers to execute further malicious activities undetected, leading to potential data breaches, system compromise, and further propagation of malware within the network.
The following analytic detects the disabling of Windows Defender services by monitoring registry modifications. It leverages registry event data to identify changes to specific registry paths associated with Defender services, where the 'Start' value is set to '0x00000004'. This activity is significant because disabling Defender services can indicate an attempt by an adversary to evade detection and maintain persistence on the endpoint. If confirmed malicious, this action could allow attackers to execute further malicious activities undetected, leading to potential data breaches or system compromise.
The following analytic detects the use of Regsvr32.exe to register DLLs from suspicious paths such as AppData, ProgramData, or Windows Temp directories. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs and command-line arguments. This activity is significant because Regsvr32.exe can be abused to proxy execution of malicious code, bypassing traditional security controls. If confirmed malicious, this could allow an attacker to execute arbitrary code, potentially leading to system compromise, data exfiltration, or further lateral movement within the network.
The following analytic identifies the creation of Dynamic Link Libraries (DLLs) with a known history of exploitation in atypical locations. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and filesystem events. This activity is significant as it may indicate DLL search order hijacking or sideloading, techniques used by attackers to execute arbitrary code, maintain persistence, or escalate privileges. If confirmed malicious, this activity could allow attackers to blend in with legitimate operations, posing a severe threat to system integrity and security.
This analytic detects the execution of `mofcomp.exe` loading a MOF file, particularly when initiated by `cmd.exe` or `powershell.exe`, or when `mofcomp.exe` is executed from unusual paths such as user profile directories (`*\AppData\Local\*` or `*\Users\Public\*`). This activity is significant because adversaries often use WMI for persistence or lateral movement. Successful exploitation could lead to arbitrary code execution, persistence, or privilege escalation within the environment.
The following analytic detects the modification of registry keys that define Windows services using reg.exe. This detection leverages Splunk to search for specific keywords in the registry path, value name, and value data fields. This activity is significant because it indicates potential unauthorized changes to service configurations, a common persistence technique used by attackers. If confirmed malicious, this could allow an attacker to maintain access, escalate privileges, or move laterally within the network, leading to data theft, ransomware, or other damaging outcomes.
The following analytic detects the execution of the SubInAcl utility. SubInAcl is a legacy Windows Resource Kit tool from the Windows 2003 era, used to manipulate security descriptors of securable objects. It leverages data from Endpoint Detection and Response (EDR) agents, specifically searching for any process execution involving "SubInAcl.exe" binary. This activity can be significant because the utility should be rarely found on modern Windows machines, which mean any execution could potentially be considered suspicious. If confirmed malicious, this could allow an attacker to blind defenses by tampering with EventLog ACLs or modifying the access to a previously denied resource.
The analytic detects the execution of an XSL script using the WMIC process, which is often indicative of malicious activity. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions involving WMIC and XSL files. This behavior is significant as it has been associated with the FIN7 group, known for using this technique to execute malicious scripts. If confirmed malicious, this activity could allow attackers to execute arbitrary code, potentially leading to system compromise and further malicious actions within the environment.
This analytic detects email files (.pst or .ost) being created outside the standard Outlook directories. This activity is significant as it may indicate data exfiltration or unauthorized access to email data. If confirmed malicious, an attacker could potentially access sensitive email content, leading to data breaches or further exploitation within the network.
The following analytic detects cloud provisioning activities originating from previously unseen cities. It leverages cloud infrastructure logs and compares the geographic location of the source IP address against a baseline of known locations. This activity is significant as it may indicate unauthorized access or misuse of cloud resources from an unexpected location. If confirmed malicious, this could lead to unauthorized resource creation, potential data exfiltration, or further compromise of cloud infrastructure.
The following analytic identifies the execution of `PsExec.exe` with the `accepteula` flag in the command line. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs and command-line arguments. This activity is significant because PsExec is commonly used by threat actors to execute code on remote systems, and the `accepteula` flag indicates first-time usage, which could signify initial compromise. If confirmed malicious, this activity could allow attackers to gain remote code execution capabilities, potentially leading to further system compromise and lateral movement within the network.
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