Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects high-frequency failed logon attempts (>= 6) against accounts with administrative naming conventions within a 3-minute window. The rule specifically flags activity targeting multiple distinct destination hosts, which is a strong indicator of lateral movement or account brute-forcing/spraying attempts across an enterprise network.
Detects the modification of an existing IAM role's trust policy to include new trusted principals (external AWS accounts, root principals, or wildcards). This technique is used for persistence and privilege escalation by modifying existing roles to allow access by an attacker-controlled principal, effectively bypassing detections focused on the creation of new roles.
Detects successful non-interactive sign-ins to Azure CLI using the Resource Owner Password Credentials (ROPC) flow where Conditional Access policies failed to enforce multi-factor authentication (MFA). This typically indicates misconfigured Conditional Access policies, such as exclusions for non-interactive authentication methods or service accounts, which could be exploited by adversaries to bypass MFA.
Detects the creation of a crontab entry configured to execute a Python one-liner that performs a network connection to a specific remote IP address on port 4444. This behavior is indicative of a persistence mechanism and a C2 (Command and Control) beaconing attempt.
Detects DLL files planted in application directories for execution flow hijacking
Detects the creation or modification of persistence mechanisms (Windows Registry Run/RunOnce keys, Cron jobs, Systemd services, and macOS LaunchAgents/LaunchDaemons) that specifically reference Java executables or .jar files. This pattern is consistent with cross-platform malware such as QuimaRAT attempting to maintain persistence.
Detects instances where PowerShell is executed with common bypass flags by a process masquerading as or spawned by 'svchost.exe' located in non-standard system directories, specifically targeting executions originating from user-writable temporary locations.
Detects termination of security services or tampering with real-time protection configurations shortly after the loading of the PoisonX (g11.sys) kernel driver. This activity is indicative of a Bring Your Own Vulnerable Driver (BYOVD) attack aimed at disabling endpoint defenses prior to the deployment of ransomware or other malicious payloads.
Detects attempts to grant world-writable (0666) permissions to the /dev/kvm device node using chmod or setfacl, or unauthorized (non-root) accounts interacting directly with the device. Such configuration changes are associated with the Januscape (CVE-2026-53359) vulnerability, which allows local users to exploit a shadow MMU use-after-free in the kernel to escalate privileges to root or escape into the host from a virtualized environment.
Detects instances where two specific DLL files, 'wwide9.dll' and 'FcHand.dll', are loaded by the same process on a device. This pattern of concurrent loading may indicate the execution or injection of malicious components, as these specific filenames are often associated with threat actor activity or malware campaigns.
This rule detects a sequence of suspicious activities characteristic of rootkit deployment and defense evasion. It monitors for the creation of a specific driver file (kvckiller.sys) in the system drivers directory, the modification of registry keys related to services (wsftprm), the execution of service management commands (sc.exe or net.exe) referencing those registry keys, and the subsequent termination of security-related processes like MsMpEng.exe or SecurityHealthSystray.exe.
Detects modifications to the Windows Registry where the 'EnableLUA' value is set to 0, which effectively disables User Account Control (UAC). This action is often performed by attackers to evade security prompts and maintain higher integrity levels during execution.
Detects the presence of the PoisonX malicious kernel driver (g11.sys), which is used by the Hyadina group in Bring Your Own Vulnerable Driver (BYOVD) attacks to terminate security software and disable user-mode API hooks.
Detects a process that simultaneously loads 'RstrtMgr.dll' and modifies the 'WaitToKillServiceTimeout' registry value within a 2-minute window. This behavior is indicative of an adversary attempting to force system service restarts or accelerate service termination, often seen as part of persistence mechanisms or defensive impairment.
Detects the creation of a scheduled task via PowerShell using 'Register-ScheduledTask' configured to run as the SYSTEM account at system startup. The detection specifically identifies tasks with dynamically generated hexadecimal names (8-20 characters), a technique associated with the persistence mechanism of Banana RAT.
Correlates multiple suspicious behavioral patterns characteristic of the 'ClickFix' attack chain. The rule detects techniques such as PowerShell execution via RunMRU or Windows Terminal, CAPTCHA-lure download cradles, hidden-window PowerShell execution, fileless AES/TripleDES runspace payloads, COM hijacking, and suspicious LOLBin usage. The detection logic uses a 1-hour sliding window to aggregate these patterns on a per-device basis, assigning a higher confidence score as more stages of the attack chain are observed.
This rule detects the silent installation of AnyDesk with persistence enabled via the '--start-with-win' flag. This behavior is indicative of unauthorized remote access tool deployment, often used for establishing persistent command and control.
Correlates a Microsoft 365 OAuth device-code authentication event with subsequent impact actions on the same identity (device registration/PRT setup, inbox rule creation, or PRT/sign-in activity after a password reset) within a 1-hour window. Severity escalates as more distinct impact phases co-occur on the same actor, consistent with ARToken/EvilTokens post-device-code-phishing persistence chains.
Detects DLL sideloading of DLLs usually located in system locations (System32, SysWOW64, etc.).
This rule detects the use of database-related processes (mysql) or scripts (python) interacting with MySQL User-Defined Function (UDF) mechanisms. Attackers often abuse UDFs to execute arbitrary commands, load external libraries, or facilitate lateral movement/privilege escalation within a database environment.
Identifies Linux systems acting as KVM hypervisors that are running kernels vulnerable to CVE-2026-53359 (Januscape), a use-after-free vulnerability in the shadow MMU (arch/x86/kvm/mmu/mmu.c). This vulnerability permits a guest virtual machine to escape into the underlying host environment, potentially compromising the hypervisor and other hosted workloads.
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