Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects a sequence of suspicious activities indicative of malicious driver installation. It identifies the creation of an irregularly named .sys file in temp directories, the use of curl.exe to retrieve symbols for a potentially malicious driver, and the subsequent registration/start of that driver as a Windows system service.
This rule detects a sequence of suspicious activities indicative of malicious driver installation. It identifies the creation of an irregularly named .sys file in temp directories, the use of curl.exe to retrieve symbols for a potentially malicious driver, and the subsequent registration/start of that driver as a Windows system service.
This rule detects a credential theft pattern where a browser process is forcefully terminated using taskkill, followed shortly by the creation of a 'wd_tmp.db' file in browser user data directories. This behavior is indicative of malware attempting to stage and exfiltrate browser credentials like cookies and login data.
Detects the behavior of LunexStealer targeting cryptocurrency wallets. The rule monitors for the enumeration of known crypto wallet files and browser-stored extension data, followed closely by the creation of a 'wallet.zip' archive by the same process, which is indicative of staged data collection for exfiltration.
Detects the behavior of LunexStealer targeting cryptocurrency wallets. The rule monitors for the enumeration of known crypto wallet files and browser-stored extension data, followed closely by the creation of a 'wallet.zip' archive by the same process, which is indicative of staged data collection for exfiltration.
Detects the initialization of known-malicious Terraform providers (dockerd) followed within one hour by the execution of a 'go run' process from the .terraform directory. This pattern is indicative of a supply chain compromise where an adversary leverages a typosquatted or malicious Terraform provider to facilitate the execution of a secondary payload.
Detects persistence attempts via Windows Registry run keys and Startup folders. The rule identifies suspicious modifications to run/runonce registry keys involving common user-writable paths (e.g., Temp, AppData) or the execution of PowerShell commands with common obfuscation flags (e.g., -enc). Additionally, it detects the creation of executable files (.lnk, .ps1, .vbs, .bat) within user Startup folders.
Detects persistence attempts via Windows Registry run keys and Startup folders. The rule identifies suspicious modifications to run/runonce registry keys involving common user-writable paths (e.g., Temp, AppData) or the execution of PowerShell commands with common obfuscation flags (e.g., -enc). Additionally, it detects the creation of executable files (.lnk, .ps1, .vbs, .bat) within user Startup folders.
This rule detects the deployment of suspicious executables or scripts (e.g., .exe, .bat, .ps1, .vbs) via Group Policy (GPO) paths or through GPO-related processes like gpscript.exe and gpupdate.exe. This activity is consistent with using GPOs to distribute and execute malicious binaries across a domain, often a precursor to ransomware deployment.
This rule detects potential staging activity for ClickFix or Vidar malware campaigns. It identifies the creation of files or folders in directories mimicking Windows Diagnostics infrastructure (WDI) or known payload paths, correlated with the execution of suspicious PowerShell commands or archive-related utilities within a 30-minute window on the same device.
Detects unauthorized modifications to Group Policy Objects (GPO) involving critical attributes (such as SYSVOL paths or extension configurations) combined with the creation of new script or executable files in the SYSVOL Scripts folder. This behavior is indicative of potential GPO tampering to gain persistence or facilitate large-scale execution, such as ransomware deployment via GPOs.
Detects anomalous multi-agent chaining where one AI-enabled agent instance initiates a connection to an AI API and subsequently hands off information to a second, distinct agent instance, which then performs an suspicious downstream action such as spawning a shell or initiating an unauthorized external network connection. This behavior is intended to identify potential abuse of AI-coding assistant tools for automated execution chains.
This rule detects modifications or creation of Git hooks ('pre-commit', 'post-checkout') within local repository directories. Attackers can leverage these hooks as an execution trigger for arbitrary code whenever standard Git actions occur, facilitating persistence or privilege escalation on compromised developer machines.
Detects the creation of a suspicious 'com.apple.finder.agent' plist file within a user LaunchAgents directory followed shortly by the termination of known macOS notification and background management agents. This pattern is often associated with malware attempting to evade detection or manipulate user notifications by disabling system components.
Detects the creation of files or directories under specific paths (/.openclaw/ and /.sckit/) used by the sckit Go-based worm. This worm, distributed via compromised npm and PyPI packages, uses these directories to track state and coordinate execution on infected Linux systems.
This rule detects potentially malicious activity involving the execution of WSF scripts from the AppData directory, followed by registry modifications using reg.exe or rundll32.exe. Additionally, it monitors for the creation or presence of specific suspicious files (clspack.exe, filetext.txt, prnfig.wsf) in user profile directories, often indicative of staging or persistence.
This rule detects the creation or presence of specific file artifacts ('PDF_C2089_20260911100446.exe' and 'active_desktop_render_x64.dll') within the '\AppData\Microsoft\Update\' directory. These file names and paths are characteristic of potential malware staging or persistence mechanisms, specifically associated with the SilverFox threat activity.
Detects the creation of a DLL file within the 'ProgramData\CrossDevice\' directory. This path is associated with a dangling COM InprocServer32 registration and does not exist by default. The creation of files in this location by non-privileged processes is indicative of staging malicious DLLs for exploitation of COM-based privilege escalation chains, specifically CVE-2026-66804 and CVE-2026-50343.
Detects malicious activities associated with the SCKit worm, specifically targeting package publishing via npm/twine, GitHub Actions workflow injection (runtime-update.yml), and the dropping of postinstall propagation stubs (bootstrap.cjs) when initiated by SCKit processes.
Detects malicious activities associated with the SCKit worm, specifically targeting package publishing via npm/twine, GitHub Actions workflow injection (runtime-update.yml), and the dropping of postinstall propagation stubs (bootstrap.cjs) when initiated by SCKit processes.
Detects malicious activities associated with the SCKit worm, specifically targeting package publishing via npm/twine, GitHub Actions workflow injection (runtime-update.yml), and the dropping of postinstall propagation stubs (bootstrap.cjs) when initiated by SCKit processes.
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