Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,748 detections
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IDS Classtypes
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Detects usage of the Windows API function GetUserObjectInformationW to inspect the current window station for specific strings, such as 'Service-0x'. This technique is often used by malware for environmental awareness, specifically to detect if it is running within a virtual machine or analysis sandbox by checking window station object attributes.
This rule detects behavior associated with Hidden Virtual Network Computing (HVNC) implants, which allow remote attackers to interact with a hidden desktop session on a compromised host. The rule specifically looks for processes that perform a sequence of sensitive Windows API calls—CreateDesktopA, SetThreadDesktop, BitBlt/GetDIBits (for screen capture), and SendInput (for input simulation)—when originating from suspicious, unsigned, or non-standard file paths, indicating potential malicious use rather than legitimate software.
Detects rapid deletion and creation cycles of the WD_SCAN object manager link, a behavioral pattern associated with a Time-of-Check-to-Time-of-Use (TOCTOU) exploit chain targeting Windows Defender (referenced as CVE-2026-69414). The rule monitors for at least three cycle events occurring within a 5-second window, specifically involving the 'WD_SCAN' object identifier.
Detects the execution of known GoCaracal malware samples, identified by specific file hashes or staging file paths, occurring in conjunction with low-level keyboard hook installations using SetWindowsHookEx. This behavior is indicative of active keylogging activity.
Detects a sequence of system reconnaissance commands consistent with a Linux stager preparing to deploy a malicious cron payload. The rule identifies the combination of process enumeration (specifically targeting haproxy or cron services), privilege verification, and OS environment profiling (hostname, kernel, or distribution details) occurring within a single execution context.
This rule detects the presence of specific file hashes known to be associated with backdoored software builds, specifically related to recent supply chain compromises affecting South Korean software vendors (e.g., HAProxy builds). It monitors device file events, process initiation, and identity logon events to identify systems that have deployed, executed, or been accessed by these malicious binaries.
Detects a discrepancy between the SHA256 hash of a running process image (via /proc/<pid>/exe on Linux) and the hash of the corresponding binary file on disk. This behavior is indicative of process memory manipulation, such as fileless execution or binary replacement, where the code currently running in memory does not match the original file on disk.
Detects ERAAgent.exe performing suspicious dynamic API resolution for functions commonly used by the SLEEPWALKER malware (VirtualProtect, SetSecurityDescriptorDacl, and CryptGenRandom). By resolving these functions at runtime via GetProcAddress rather than including them in the static import table, the malware attempts to evade detection and analysis.
This rule detects potential reflective code injection or in-memory loading (fileless) where a DLL or PE image is loaded by mshta.exe or powershell.exe, but the module load event lacks a valid file path on disk (or indicates a device path). This behavior is often associated with the execution of malicious payloads such as the Amatera loader, where payloads are executed directly in memory to evade file-based security detections.
Identifies instances of Google Chrome running on endpoints with version numbers below the threshold patched for CVE-2026-85046. This detection focuses on specific build numbers (e.g., 152.0.7977.82 for Windows/Linux) to identify potentially vulnerable browser installations in the environment.
This rule detects attempts by users to disable or clear command line history logs for shell environments, including PowerShell (e.g., modifying PSReadLine history) and Unix-like shells (e.g., unset HISTFILE, setting HISTSIZE to 0, or disabling history collection). Such actions are frequently performed by adversaries to hinder incident response and forensic analysis by obscuring their post-exploitation activity.
This rule detects attempts by users to disable or clear command line history logs for shell environments, including PowerShell (e.g., modifying PSReadLine history) and Unix-like shells (e.g., unset HISTFILE, setting HISTSIZE to 0, or disabling history collection). Such actions are frequently performed by adversaries to hinder incident response and forensic analysis by obscuring their post-exploitation activity.
Detects a discrepancy between the SHA256 hash of a running process image (via /proc/<pid>/exe on Linux) and the hash of the corresponding binary file on disk. This behavior is indicative of process memory manipulation, such as fileless execution or binary replacement, where the code currently running in memory does not match the original file on disk.
This rule detects the concurrent existence of specific process names (calibre-launcher.dll or wint.exe) and a specific file (SysPr.prx) on a device, combined with network connections to a specific Cloudflare R2 bucket. This pattern is indicative of potential malware activity involving suspicious DLLs, file drop-offs, and communication with remote infrastructure.
Detects attempts to access or create copies of the Active Directory 'ntds.dit' database or the Windows Security Account Manager (SAM) registry hive using unauthorized processes. Attackers often target these files to extract credential hashes from Domain Controllers or local systems.
Detects attempts to access or create copies of the Active Directory 'ntds.dit' database or the Windows Security Account Manager (SAM) registry hive using unauthorized processes. Attackers often target these files to extract credential hashes from Domain Controllers or local systems.
Detects attempts to access or create copies of the Active Directory 'ntds.dit' database or the Windows Security Account Manager (SAM) registry hive using unauthorized processes. Attackers often target these files to extract credential hashes from Domain Controllers or local systems.
This rule detects processes accessing '/proc/self/status' to read the 'TracerPID' field. Malware often uses this technique to detect if it is being debugged or traced by security analysis tools, allowing the process to terminate or change behavior to avoid analysis.
This rule detects the presence of specific file hashes known to be associated with backdoored software builds, specifically related to recent supply chain compromises affecting South Korean software vendors (e.g., HAProxy builds). It monitors device file events, process initiation, and identity logon events to identify systems that have deployed, executed, or been accessed by these malicious binaries.
Detects the loading of Linux kernel modules using insmod or modprobe from non-standard, writable directories such as /tmp, /var/tmp, /dev/shm, /home, /root, or /opt. This behavior is highly indicative of an adversary attempting to install a malicious kernel module or rootkit to gain persistence or privilege escalation, while bypassing standard package management paths.
Detects a discrepancy between the SHA256 hash of a running process image (via /proc/<pid>/exe on Linux) and the hash of the corresponding binary file on disk. This behavior is indicative of process memory manipulation, such as fileless execution or binary replacement, where the code currently running in memory does not match the original file on disk.
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