Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
18,128 detections
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Detects the execution of Windows Installer (.msi) files or screensaver (.scr) files that were recently downloaded and executed via a web browser. Attackers often use these file types as lures for fake updates or software installers to execute malicious code on the victim's system.
Detects registry value modifications to the Windows Explorer RunMRU key where the data contains indicators of obfuscated PowerShell commands. This pattern is commonly associated with the 'ClickFix' social-engineering campaign, where users are prompted to copy and paste a malicious PowerShell command into the Windows Run dialog.
Detects instances where a suspected malicious loader initiates process hollowing or APC injection by launching trusted Windows binaries (e.g., LockAppHost.exe, makecab.exe, Magnify.exe) in a suspended state. The rule identifies suspicious post-injection behavior such as unexpected network connections or child process creation originating from these typically benign binaries, which is characteristic of the DeepLoad/ClickFix attack chain.
Detects a multi-stage installation of the Level RMM agent. This rule monitors for a correlation of events including the execution of 'LevelInstaller.exe' with specific installation arguments, file drops in potentially spoofed vendor paths (Dell or Level), the creation of a 'Level' service, and the addition of a 'Level Watchdog' scheduled task on the same device within a 24-hour window.
Detects instances where an IIS worker process (w3wp.exe) spawns a command shell (cmd.exe) that executes a conditional file copy operation. This pattern is characteristic of an adversary creating a webshell by copying a payload to a filename that masquerades as a legitimate web application asset, such as a CSS bundle or validation script.
Detects DLL sideloading activity associated with the 'Lorem Ipsum Loader' malware. The rule monitors for specific combinations of legitimate Windows binaries loading specific DLLs from non-system directories, a common technique to execute malicious code via trusted processes.
Detects the presence of an embedded word-to-hex lookup table within a PE file. This technique is used by the Lorem Ipsum Loader to store shellcode as plaintext English words to evade entropy-based detection and static analysis tools. The rule matches a dense sequence of lowercase words frequently found in these malicious loaders.
Detects anomalous sign-in patterns indicative of real-time MFA relay attacks, where a user principal authenticates successfully from multiple distinct IP addresses and geographical locations within a short time window (15 minutes), suggesting the active interception of credentials and MFA challenges by a Phishing-as-a-Service platform.
Detects the creation or modification of Google Cloud Config Connector (KCC) IAM resources (IAMPolicyMember, IAMPartialPolicy, IAMPolicy) that assign high-privilege roles like 'roles/owner' or 'roles/resourcemanager.organizationAdmin'. This monitors for potential privilege escalation where a low-privilege actor leverages the KCC controller's high-privilege service account to perform unauthorized IAM binding changes on Google Cloud resources.
Detects when the Google Cloud Config Connector (KCC) service account is granted highly privileged roles (roles/owner or roles/resourcemanager.organizationAdmin) at the Organization scope. This pattern is indicative of a potential 'ConfigConfusion' confused-deputy attack, where a compromised Kubernetes namespace with IAMPolicyMember creation rights could be used to escalate privileges to Organization Owner.
Detects the execution of the sckit Go implant, linked to the MemTensor supply chain compromise, during its host-profiling stage. The rule monitors for the 'sckit' binary being executed with 'stage0' and '--config64' command-line arguments, or being spawned by legitimate runtime interpreters like Node.js or Python, indicating an attempt to profile host information (timezone, language, privileges) and subsequent self-deletion.
Detects inbound emails that have been delivered to the user's Inbox or Junk folder despite failing SPF authentication checks. The detection logic triggers when these emails also lack a valid DMARC policy (none or not available), which prevents the mail server from enforcing rejection or quarantine, allowing spoofed or unauthenticated mail to bypass standard security filters.
Detects a specific execution sequence associated with the SectopRAT loader. The rule identifies a process named 'ReportDump.exe' reading a payload file 'Activation.Desktop.db' and subsequently loading 'stp_aim_x64_vc15.dll', which is known to trigger malicious shellcode via an exported function.
Detects instances where rundll32.exe loads a DLL file named Use.dll from a subdirectory named 'ComponentsFolder' within the AppData directory. This pattern is indicative of sandbox evasion techniques used by malware, such as the DarkMe RAT, where the DLL acts as an anti-sandbox gateway to check the execution environment.
Detects suspicious execution patterns characteristic of post-exploitation activity, such as invoking 'go run' or 'node' from non-standard directories like AppData or Temp, as well as the use of command-line routines to delete files after execution (often associated with self-deleting secondary payloads or persistence cleanup).
Detects the spawning of common administrative or script-execution tools as child processes from SharePoint-related processes (w3wp.exe or OWSTIMER.EXE). This behavior is often indicative of exploitation attempts targeting SharePoint application pools to execute arbitrary code.
Detects post-exploitation indicators of CVE-2026-62911, an authentication-bypass-by-capture-replay vulnerability in Microsoft Exchange. The rule identifies anomalous behavior following a potential bypass: either the assignment of the ApplicationImpersonation management role or a single impersonation session accessing an abnormally high number of distinct mailboxes (FolderBind, MessageBind, or SendAs).
Detects the loading of Python DLLs (python36.dll or python37.dll) from suspicious, non-standard user-writable directories such as Downloads, Temp, or AppData, which may indicate a DLL sideloading attempt.
Detects the drop and execution of the AvisLoader rootkit component, hmn_hook.dll. The rule identifies suspicious file drops in non-standard, user-writable directories (e.g., AppData, Temp) that are not associated with legitimate installers, as well as the loading of unsigned or non-Microsoft-signed versions of the DLL accompanied by hook-related process arguments such as HMN_HideStart or NtQuerySystemInformation.
Detects potential runtime polymorphic malware that modifies its own executable or script content while simultaneously communicating with generative AI or LLM API endpoints. This behavior indicates an adversary using LLMs to regenerate obfuscated code or mutate malware signatures dynamically at runtime.
Detects potential process injection attempts (e.g., Early Bird APC injection or process hollowing) where a process is spawned in a suspended state, followed shortly by a remote-thread or QueueUserAPC injection primitive targeting that same process. The rule correlates process creation events with subsequent API calls while excluding known legitimate patterns like .NET runtime operations, system updaters, and EDR/AV security components.
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