Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
9,759 detections
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Detects legitimate, signed executables from trusted system locations (e.g., System32) loading DLLs from non-standard, user-writable directories (e.g., Temp, AppData). This activity is a classic indicator of DLL side-loading, where an adversary places a malicious DLL in a directory to be picked up by a legitimate application, enabling the execution of malicious code under the context of a trusted process.
Detects the use of the built-in Windows utility rundll32.exe to execute the MiniDump functionality within comsvcs.dll against the Local Security Authority Subsystem Service (LSASS). This technique is a common method for attackers to bypass signature-based security tools and obtain sensitive credentials from memory.
Detects the execution of reg.exe with the 'save' command to extract the SAM, SYSTEM, or SECURITY registry hives to disk. This technique is commonly used by attackers to offline extract credential hashes, facilitating pass-the-hash attacks and lateral movement.
Detects instances where a non-browser process initiates connections to commercial LLM provider APIs (DeepSeek, OpenRouter, Mistral) followed by a connection to Discord CDN/Webhook endpoints within a 15-minute window. This behavior is indicative of a process acting as an autonomous C2 agent that exfiltrates data after receiving instructions or processing information via an LLM.
Detects the execution of PowerShell with encoded commands (e.g., -EncodedCommand or -enc) combined with common download cradle indicators such as IEX, Net.WebClient, or DownloadString. This combination is highly indicative of fileless malware execution, initial access payload staging, or defense evasion techniques often employed by threat actors to bypass command-line monitoring.
Detects the abuse of the built-in Windows utility 'certutil.exe' to download remote files using URL cache functionality or to deobfuscate base64-encoded payloads. This is a common LOLBin (Living-off-the-Land Binary) technique used in phishing loaders, malware delivery, and post-exploitation toolkits.
Detects the creation of WMI permanent event subscriptions, including the instantiation of __EventFilter, __EventConsumer, and __FilterToConsumerBinding classes. This mechanism is frequently used by adversaries for fileless and reboot-resilient persistence, as it allows for arbitrary code execution triggered by system events.
Detects lateral movement activities involving the use of PsExec-style tools or the manual creation of remote services to execute commands. This behavior often leverages SMB admin shares (ADMIN$, C$) to drop and execute binaries or scripts, a technique frequently observed in ransomware campaigns and red team engagements.
Detects the execution of legitimate developer utilities msbuild.exe, regasm.exe, and regsvcs.exe in manners consistent with malicious proxy execution. This includes the use of inline tasks in project files, remote network-sourced project files, or specific command-line arguments (such as /codebase or /unregister) that suggest the abuse of these binaries to execute arbitrary code or bypass application control mechanisms, while excluding known legitimate developer-related parent processes and build workflows.
Detects persistence modification via Registry Run/RunOnce keys or the addition of suspicious files to the Windows Startup folder. The rule specifically monitors for registry values pointing to common volatile directories, script extensions, or suspicious command-line interpreters. It also flags new executables or scripts being written directly into startup directory paths. This rule covers both direct registry manipulation and startup folder placement, often associated with malware or adversary persistence mechanisms.
Detects the execution of the 'sckit' Go implant, a malicious binary associated with trojanized '@memtensor/memos-cloud-openclaw-plugin' or 'MemoryOS' packages. The rule identifies instances where this binary is spawned as a child process of a language runtime (Node.js or Python) when the execution originates from specific directory paths associated with these packages, or when the parent process command line indicates these packages are being initialized.
This rule detects the execution of browser automation and testing tools (such as Playwright, Puppeteer, Selenium, and various browser drivers) when initiated by common, non-development-related parent processes like Microsoft Office applications, Explorer, or service hosts. This behavior is indicative of potential malicious activity, such as automated credential harvesting or unauthorized web interaction initiated by a compromised document or process.
Detects potential exploitation of AI agent frameworks, such as Semantic Kernel, where plugin or tool invocation primitives are abused to execute arbitrary commands or manipulate files via path traversal. The rule monitors for AI-hosting processes (e.g., python.exe, node.exe) spawning shell child processes or file-related commands containing path traversal sequences (e.g., '..\..\') paired with file operation keywords.
Detects autonomous AI coding-agent processes (e.g., Claude Code, Cursor, Aider) spawning shell or git processes to perform potentially destructive actions such as recursive file deletion, forced git pushes, database manipulation, or unauthorized access to sensitive credential files, indicating agentic 'excessive agency' or compromise.
Detects the creation of scheduled tasks using schtasks.exe that involve suspicious arguments (such as encoded commands, execution from volatile directories like Temp/AppData, or run-once triggers) shortly after a file has been downloaded into a temporary or user-writable directory. This pattern is commonly indicative of an adversary establishing persistence for downloaded malware.
Detects the abuse of signed Windows system binaries regsvr32.exe and rundll32.exe for proxy execution, defense evasion, and credential access. The rule identifies suspicious command-line patterns including Squiblydoo (regsvr32 with remote scriptlets), rundll32 executing JavaScript via mshtml.dll, rundll32 performing LSASS credential dumping via comsvcs.dll, and the loading of DLLs from untrusted user-writable locations like Temp or Downloads folders.
Detects the spawning of cmd.exe, powershell.exe, or powershell_ise.exe by the WMI Provider Host (wmiprvse.exe). This pattern is frequently used for fileless lateral movement, as threat actors leverage WMI (Win32_Process.Create) to execute remote commands which manifests as wmiprvse.exe launching a shell on the target host.
Detects the use of native Windows utilities such as vssadmin, ntdsutil, or diskshadow to create volume shadow copies for the purpose of accessing or extracting the ntds.dit Active Directory database file. This activity is a common indicator of credential theft attempts where adversaries bypass file access protections to offline-process the database and retrieve password hashes.
Detects unauthorized access attempts to SYSTEM-level processes (winlogon.exe, services.exe) using specific access rights such as PROCESS_DUP_HANDLE or PROCESS_QUERY_INFORMATION. This behavior is indicative of token stealing or impersonation attempts often utilized by tools like JuicyPotato, RoguePotato, and PrintSpoofer to escalate privileges to SYSTEM.
Detects potential process injection attempts where a browser or Office application attempts to write to the memory or create a remote thread within high-value or trusted system processes like svchost.exe or explorer.exe. This activity is indicative of defense evasion techniques such as DLL or PE injection.
Detects suspicious process access to the Local Security Authority Subsystem Service (lsass.exe) with access masks commonly associated with credential dumping techniques. The rule specifically monitors for high-privileged access requests by unauthorized processes, excluding known legitimate tools and system services, to identify attempts to extract cached authentication materials such as NTLM hashes or Kerberos tickets.
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