Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The following analytic identifies a suspicious modification to the Windows registry that disables automatic updates. It detects changes to the registry path `SOFTWARE\Policies\Microsoft\Windows\WindowsUpdate\AU\NoAutoUpdate` with a value of `0x00000001`. This activity is significant as it is commonly used by adversaries, including malware like RedLine Stealer, to evade detection and maintain persistence. If confirmed malicious, this could allow attackers to bypass security updates, leaving the system vulnerable to further exploitation and potential zero-day attacks.
This analytic is developed to detect suspicious registry modifications targeting the "scforceoption" key. Altering this key enforces smart card login for all users, potentially disrupting normal access methods. Unauthorized changes to this setting could indicate an attempt to restrict access or force a specific authentication method, possibly signifying malicious intent to manipulate system security protocols.
The following analytic detects suspicious modifications to the Windows registry keys related to file compression color and information tips. It leverages data from the Endpoint.Registry data model, specifically monitoring changes to the "ShowCompColor" and "ShowInfoTip" values under the "Microsoft\\Windows\\CurrentVersion\\Explorer\\Advanced" path. This activity is significant as it was observed in the Hermetic Wiper malware, indicating potential malicious intent to alter file attributes and user interface elements. If confirmed malicious, this could signify an attempt to manipulate file visibility and deceive users, potentially aiding in further malicious activities.
The following analytic detects suspicious modifications to the EventLog security descriptor registry value for defense evasion. It leverages data from the Endpoint.Registry data model, focusing on changes to the "CustomSD" value within the "HKEY_LOCAL_MACHINE\System\CurrentControlSet\Services\Eventlog\<Channel>\CustomSD" path. This activity is significant as changes to the access permissions of the event log could blind security products and help attackers evade defenses. If confirmed malicious, this could allow attackers to block users and security products from viewing, ingesting and interacting event logs.
The following analytic identifies modifications to the SafeBoot registry keys, specifically within the Minimal and Network paths. This detection leverages registry activity logs from endpoint data sources like Sysmon or EDR tools. Monitoring these keys is crucial as adversaries can use them to persist drivers or services in Safe Mode, with Network allowing network connections. If confirmed malicious, this activity could enable attackers to maintain persistence even in Safe Mode, potentially bypassing certain security measures and facilitating further malicious actions.
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 Windows processes such as cmd.exe, PowerShell, and common Windows LOLBINs being spawned by React or Next.js application servers.
In the context of CVE-2025-55182 / React2Shell / CVE-2025-66478 for Next.js, successful exploitation can lead to arbitrary JavaScript execution on the server, which in turn is used to invoke Node's child_process APIs (for example child_process.execSync) to run OS-level commands.
This detection focuses on suspicious child processes where a Next/React server process spawns an uncommon process.
Such activity might be a strong indicator of exploitation of the aforementioned vulnerability.
In the context of CVE-2025-55182 / React2Shell / CVE-2025-66478 for Next.js, successful exploitation can lead to arbitrary JavaScript execution on the server, which in turn is used to invoke Node's child_process APIs (for example child_process.execSync) to run OS-level commands.
This detection focuses on suspicious child processes where a Next/React server process spawns an uncommon process.
Such activity might be a strong indicator of exploitation of the aforementioned vulnerability.
Hunts for sqlservr.exe spawning command shells or system utilities, a pattern consistent with xp_cmdshell abuse. It also flags later steps from a public intrusion write-up: certutil decoding, SAM, SYSTEM or SECURITY hive saves and local account or group changes.
Results are grouped per device and day and ranked by stage count. Rows can also appear without a SQL parent when two later stages occur on the same device and day.
Triage: Some jobs use xp_cmdshell legitimately. Review the command line and the account. Hunting query, not an alert.
Limitations: Activity inside the SQL process with no child process is not visible. Renamed tools, obfuscation and privilege escalation tools are not covered. Needs Defender for Endpoint on the SQL servers.
Results are grouped per device and day and ranked by stage count. Rows can also appear without a SQL parent when two later stages occur on the same device and day.
Triage: Some jobs use xp_cmdshell legitimately. Review the command line and the account. Hunting query, not an alert.
Limitations: Activity inside the SQL process with no child process is not visible. Renamed tools, obfuscation and privilege escalation tools are not covered. Needs Defender for Endpoint on the SQL servers.
Detects when the System Center Configuration Manager (SCCM / ConfigMgr) client service (CcmExec) is stopped or running based on Windows Event Log System events from the Service Control Manager (EventCode 7036).
Detects data leakage and exfiltration attempts targeting Ollama model metadata and configuration endpoints. Adversaries repeatedly query /api/show, /api/tags, and /api/v1/models to systematically extract sensitive model information including architecture details, fine-tuning parameters, system paths, Modelfile configurations, and proprietary customizations. Multiple inspection attempts within a 15-minute window indicate automated exfiltration of valuable intellectual property such as custom model configurations, system prompts, and internal model specifications. This activity represents unauthorized data disclosure that could enable competitive intelligence gathering, model replication, or preparation for advanced attacks against the AI infrastructure.
Detects Ollama server errors and failures during model loading operations that may indicate malicious model injection, path traversal attempts, or exploitation of model loading mechanisms to achieve remote code execution. Adversaries may attempt to load specially crafted malicious models or exploit vulnerabilities in the model loading process to execute arbitrary code on the server. This detection monitors error messages and failure patterns that could signal attempts to abuse model loading functionality for malicious purposes.
Detects a process other than XBootMgr.exe spawned by XBootMgrSleep.exe.
XBootMgrSleep.exe is a Microsoft-signed Windows Performance Toolkit binary that can execute an arbitrary executable after a delay.
XBootMgrSleep.exe is a Microsoft-signed Windows Performance Toolkit binary that can execute an arbitrary executable after a delay.
The following analytic detects the spawning of a PowerShell process as a child or grandchild of commonly abused processes like services.exe, wmiprvse.exe, svchost.exe, wsmprovhost.exe, and mmc.exe.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and parent process names, as well as command-line executions.
This activity is significant as it could indicates lateral movement or remote code execution attempts by adversaries.
If confirmed malicious, this behavior could allow attackers to execute code remotely, escalate privileges, or persist within the environment.
It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process and parent process names, as well as command-line executions.
This activity is significant as it could indicates lateral movement or remote code execution attempts by adversaries.
If confirmed malicious, this behavior could allow attackers to execute code remotely, escalate privileges, or persist within the environment.
Detects obfuscated PowerShell scripts that enumerate Microsoft.PowerShell.Utility exported commands
and invoke cmdlets indirectly by array index. This can be used to evade detections
that look for explicit strings such as Invoke-RestMethod or Invoke-Expression.
and invoke cmdlets indirectly by array index. This can be used to evade detections
that look for explicit strings such as Invoke-RestMethod or Invoke-Expression.
Detects the creation or modification of Python configuration files (.pth, sitecustomize.py, usercustomize.py) within site-packages or dist-packages directories when not initiated by recognized Python package managers. Such files can be abused to achieve arbitrary code execution upon Python interpreter startup, a common method for persistence or local privilege escalation in Python environments.
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.
Detects payload staging activity associated with threat actor UAC-0099, correlating the creation or modification of executable/DLL files in disguised LocalAppData directories with decoy images or library configuration files within a one-hour window.
Detects a behavioral chain where PowerShell stages a hidden base64-encoded command and schedules a VBScript task, or PowerShell fetches an upgrade.txt file via web client methods for execution.
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.
Detects the usage of command-line flags in AI coding assistant CLIs (such as Claude Code, Amazon Q CLI, and others) that intentionally skip security permissions, bypass approvals, or disable sandbox protections. The rule identifies potential developer activity that may inadvertently reduce the security posture of the development environment.
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