Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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IDS Classtypes
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Detects the presence of known Candiru Windows DLL implant IOC hashes across device file events, process events, image loads, and email attachments.
Detects potential SSH agent hijacking where process command line activities reference SSH authentication sockets or environment variables, followed closely by a successful SSH connection to a remote host from the same device.
Sweeps file, process and image-load telemetry for known Kimsuky (APT-C-55) malware MD5 hashes. Exact hash matches carry very low false-positive risk.
This rule performs an IOC sweep over the past 30 days using DeviceNetworkEvents, DeviceFileEvents, and DeviceProcessEvents to detect indicators associated with PoeLLM / Canto Incognito malware campaigns, specifically scanning for known C2 IP addresses, Kryptex cryptomining pool endpoints/domains, and specific file hashes (SHA256).
Detects the presence of known MD5 file hashes associated with the TraderTraitor trojanized Terraform provider campaign (also known as FLATROOF/ROOFDECK). The query sweeps DeviceFileEvents, DeviceProcessEvents, and DeviceImageLoadEvents across the last 30 days.
Correlates ARTEX tool artifacts on a device with that device contacting the ARTEX host, xcai.pro, or the DeepSeek API within 24 hours.
This rule detects processes invoking sensitive Windows API functions related to token manipulation (such as DuplicateToken, ImpersonateLoggedOnUser, or CreateProcessAsUser) when initiated by suspicious parent processes like PowerShell, CMD, or WScript. It uses a scoring system that increases risk if the execution occurs from common non-standard directories (e.g., Temp, Public) or is associated with non-system account contexts.
This detection flags a parent and child process pair on internet-facing Windows servers, where the parent is a web server process and the child is the process it launched. The web server processes covered are w3wp, httpd, nginx and Tomcat, including versioned Tomcat service executables such as tomcat9.exe and Tomcat running under java.exe, which is identified by the Catalina bootstrap class in its command line. A server is treated as internet-facing based on the most recent status recorded for it.
Instead of matching known web shell names, the query builds a baseline from the previous 30 days of process activity on each device and alerts when a pair appears in the latest window that has never been seen on that device before, so it can catch web shell activity it has never seen before. Because the baseline is held per device, a pair that is normal on one server does not hide the same pair appearing on another.
The rule runs every 24 hours, as this is the only Defender custom detection frequency with a 30-day lookback, and the alert window covers the last 25 hours so that a slightly delayed run does not leave a gap.
The baseline and alert windows are separated by ingestion time rather than event time, so events that arrive late are still evaluated.
Instead of matching known web shell names, the query builds a baseline from the previous 30 days of process activity on each device and alerts when a pair appears in the latest window that has never been seen on that device before, so it can catch web shell activity it has never seen before. Because the baseline is held per device, a pair that is normal on one server does not hide the same pair appearing on another.
The rule runs every 24 hours, as this is the only Defender custom detection frequency with a 30-day lookback, and the alert window covers the last 25 hours so that a slightly delayed run does not leave a gap.
The baseline and alert windows are separated by ingestion time rather than event time, so events that arrive late are still evaluated.
The following analytic detects the modification of SSH Authorized Keys on Linux systems. It leverages process execution data from Endpoint Detection and Response (EDR) agents, specifically monitoring commands like "bash" and "cat" interacting with "authorized_keys" files. This activity is significant as adversaries often modify SSH Authorized Keys to establish persistent access to compromised endpoints. If confirmed malicious, this behavior could allow attackers to maintain unauthorized access, bypassing traditional authentication mechanisms and potentially leading to further exploitation or data exfiltration.
Detects the presence of known MD5 file hashes associated with the TraderTraitor trojanized Terraform provider campaign (also known as FLATROOF/ROOFDECK). The query sweeps DeviceFileEvents, DeviceProcessEvents, and DeviceImageLoadEvents across the last 30 days.
Detects the presence of known MD5 file hashes associated with the TraderTraitor trojanized Terraform provider campaign (also known as FLATROOF/ROOFDECK). The query sweeps DeviceFileEvents, DeviceProcessEvents, and DeviceImageLoadEvents across the last 30 days.
Point-in-time sweep of the 16 published BraZetsu sample SHA-256 hashes across file, process and image-load telemetry. Hashes rotated across five versions, so absence of a hit does not rule out BraZetsu.
Detects endpoint and network activity matching known Indicators of Compromise (IOCs) associated with BPFDoor, AVERAT, and Rekoobe backdoors based on Rapid7 research. The query checks for specific file hashes, IP addresses, and domain names across process, file, image load, network, and DNS events.
Sweeps file, process and image-load telemetry for known Kimsuky (APT-C-55) malware MD5 hashes. Exact hash matches carry very low false-positive risk.
Performs an IOC sweep for a known XMRig cryptojacking campaign exploiting a REDCap vulnerability (CVE-2026-90817), detecting matching network connections, file hashes, and process activities across endpoints.
This detection flags a parent and child process pair on internet-facing Windows servers, where the parent is a web server process and the child is the process it launched. The web server processes covered are w3wp, httpd, nginx and Tomcat, including versioned Tomcat service executables such as tomcat9.exe and Tomcat running under java.exe, which is identified by the Catalina bootstrap class in its command line. A server is treated as internet-facing based on the most recent status recorded for it.
Instead of matching known web shell names, the query builds a baseline from the previous 30 days of process activity on each device and alerts when a pair appears in the latest window that has never been seen on that device before, so it can catch web shell activity it has never seen before. Because the baseline is held per device, a pair that is normal on one server does not hide the same pair appearing on another.
The rule runs every 24 hours, as this is the only Defender custom detection frequency with a 30-day lookback, and the alert window covers the last 25 hours so that a slightly delayed run does not leave a gap.
The baseline and alert windows are separated by ingestion time rather than event time, so events that arrive late are still evaluated.
Instead of matching known web shell names, the query builds a baseline from the previous 30 days of process activity on each device and alerts when a pair appears in the latest window that has never been seen on that device before, so it can catch web shell activity it has never seen before. Because the baseline is held per device, a pair that is normal on one server does not hide the same pair appearing on another.
The rule runs every 24 hours, as this is the only Defender custom detection frequency with a 30-day lookback, and the alert window covers the last 25 hours so that a slightly delayed run does not leave a gap.
The baseline and alert windows are separated by ingestion time rather than event time, so events that arrive late are still evaluated.
The following analytic identifies system processes running from unexpected locations outside of paths such as `C:\Windows\System32\` or `C:\Windows\SysWOW64`. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process paths, names, and hashes. This activity is significant as it may indicate a malicious process attempting to masquerade as a legitimate system process. If confirmed malicious, this behavior could allow an attacker to execute code, escalate privileges, or maintain persistence within the environment, posing a significant security risk.
Detects the presence of known MD5 file hashes associated with the TraderTraitor trojanized Terraform provider campaign (also known as FLATROOF/ROOFDECK). The query sweeps DeviceFileEvents, DeviceProcessEvents, and DeviceImageLoadEvents across the last 30 days.
Point-in-time sweep of the 16 published BraZetsu sample SHA-256 hashes across file, process and image-load telemetry. Hashes rotated across five versions, so absence of a hit does not rule out BraZetsu.
Correlates ARTEX tool artifacts on a device with that device contacting the ARTEX host, xcai.pro, or the DeepSeek API within 24 hours.
This rule detects indicator of compromise (IOC) sweep events associated with the AhsayCBS campaign (CVE-2026-105133 and CVE-2026-105134) involving XMRig cryptominer activity. It checks for specific file and process SHA256 hashes, remote IP addresses, and domain connections related to known mining pools or attacker infrastructure using Sentinel Device tables.
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