Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the creation of a set of four named pipes with a specific naming convention (`[random]_stdin_read`, `[random]_stdin_write`, etc.), a behavior consistent with the EndClient RAT used by Kimsuky to establish a remote shell.
This detection identifies command-line activity consistent with attempts to stop, uninstall, or otherwise tamper with the CrowdStrike Falcon agent. It looks for specific commands and utilities (sc.exe, net.exe, powershell.exe, falconctl.exe, taskkill) used in conjunction with CrowdStrike-related keywords to detect attempts to disable, uninstall, or terminate the agent's processes or services.
_ldap._tcp.dc._msdcs.ad.domain.com is a DNS query used by AD clients to locate Domain Controllers that can provide LDAP services for the ad.domain.com domain, ensuring users and computers can authenticate, query directory data, and function inside the AD forest.
This SPL query flags IP addresses returned by DNS for the AD DC-locator SRV query (_ldap._tcp.dc._msdcs.ad.domain.com.) that are not known/approved Domain Controllers in your inventory, and that show up frequently (more than 10 hits in the selected time range).
This can be for the use case where an attacker has compromised or poisoned a DNS server / resolver and is advertising their IP(s) as Domain Controllers (SRV/A glue in _msdcs) so clients attempt LDAP/Kerberos against attacker-controlled hosts.
This SPL query flags IP addresses returned by DNS for the AD DC-locator SRV query (_ldap._tcp.dc._msdcs.ad.domain.com.) that are not known/approved Domain Controllers in your inventory, and that show up frequently (more than 10 hits in the selected time range).
This can be for the use case where an attacker has compromised or poisoned a DNS server / resolver and is advertising their IP(s) as Domain Controllers (SRV/A glue in _msdcs) so clients attempt LDAP/Kerberos against attacker-controlled hosts.
The following analytic detects the use of default or publicly known named pipes associated with Cobalt Strike. It leverages Sysmon EventID 17 and 18 to identify specific named pipes commonly used by Cobalt Strike's Artifact Kit and Malleable C2 Profiles. This activity is significant because Cobalt Strike is a popular tool for adversaries to conduct post-exploitation tasks, and identifying its named pipes can reveal potential malicious activity. If confirmed malicious, this could indicate an active Cobalt Strike beacon, leading to unauthorized access, data exfiltration, or further lateral movement within the network.
The analytic detects the use of `bitsadmin.exe` with the `transfer` or `addfile` parameters to download a remote object. This activity is significant because `bitsadmin.exe` can be exploited to download and execute malicious files without immediate detection. If confirmed malicious, an attacker could use this technique to download and execute payloads, potentially leading to code execution, privilege escalation, or persistent access within the environment. The rule leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and command-line telemetry. Review parallel and child processes, especially `svchost.exe`, for associated artifacts.
The following analytic detects PowerShell processes launched with command-line arguments indicative of obfuscation techniques. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names, parent processes, and complete command-line executions. This activity is significant because obfuscated PowerShell commands are often used by attackers to evade detection and execute malicious scripts. If confirmed malicious, this activity could lead to unauthorized code execution, privilege escalation, or persistent access within the environment, posing a significant security risk.
The analytic detects the use of the curl command contacting suspicious remote domains, such as s3.amazonaws.com, which is indicative of Command and Control (C2) activity or downloading further implants. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process execution logs and command-line arguments. This activity is significant as it may indicate the presence of MacOS adware or other malicious software attempting to establish persistence or exfiltrate data. If confirmed malicious, this could allow attackers to maintain control over the compromised system and deploy additional payloads.
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.
Detects potential remote code execution associated with the exploitation of Oracle E-Business Suite vulnerability CVE-2025-61882 on Windows hosts. The rule looks for a Java process spawning a command shell to execute reconnaissance commands, followed by an outbound network connection from the same Java process within a short time frame. This behavior is consistent with post-exploitation activity observed in the campaign.
The following analytic detects the creation of screen capture files by the Braodo stealer malware. This stealer is known to capture screenshots of the victim's desktop as part of its data theft activities. The detection focuses on identifying unusual screen capture activity, especially when images are saved in directories often used by malware, such as temporary or hidden folders. Monitoring for these files helps to quickly identify malicious screen capture attempts, allowing security teams to respond and mitigate potential information exposure before sensitive data is compromised.
The following analytic detects the behavior of dumping credentials from memory by exploiting the Local Security Authority Subsystem Service (LSASS) using the comsvcs.dll and MiniDump via rundll32. This detection leverages process information from Endpoint Detection and Response (EDR) logs, focusing on specific command-line executions. This activity is significant because it indicates potential credential theft, which can lead to broader system compromise, persistence, lateral movement, and privilege escalation. If confirmed malicious, attackers could gain unauthorized access to sensitive information, leading to data theft, ransomware attacks, or other damaging outcomes.
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 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 analytic detects suspicious PowerShell execution indicative of PowerShell-Empire activity. It leverages PowerShell Script Block Logging (EventCode=4104) to capture and analyze commands sent to PowerShell, specifically looking for patterns involving `system.net.webclient` and base64 encoding. This behavior is significant as it often represents initial stagers used by PowerShell-Empire, a known post-exploitation framework. If confirmed malicious, this activity could allow attackers to download and execute additional payloads, leading to potential code execution, data exfiltration, or further compromise of the affected system.
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 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.
This analytic identifies suspicious PowerShell script execution via EventCode 4104 that contains multiple URLs within a function or array. This pattern is often indicative of obfuscated scripts or those attempting to download secondary payloads. Such activity may signal an attempt to execute malicious code, download additional malware, lead to further system compromise, or data exfiltration. Review parallel processes and the full script block for additional context and related artifacts.
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.
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.
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.
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