Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the execution of known tunneling and reverse proxy tools (ngrok, cloudflared, localtunnel) commonly abused by adversaries to create outbound tunnels for C2, bypass firewalls, or exfiltrate data.
Detects web server processes (e.g., IIS w3wp.exe, Apache, Nginx, PHP-FPM) spawning suspicious child processes such as command shells (cmd, powershell, bash, sh), network utilities (curl, wget), or interpreters (python, perl). This behavior is strongly indicative of exploitation of a public-facing web application and the subsequent execution of a webshell or post-exploitation command activity.
Detects indicators associated with the ChatGPT Custom GPT ClickFix campaign across process, network connection, DNS, and HTTP telemetry: known malicious file hashes, C2 IP addresses, the chattypetty.com domain, and known payload-hosting URLs.
Detects the use of native Windows utilities (vssadmin.exe, wmic.exe, wbadmin.exe, bcdedit.exe) to delete volume shadow copies, backup catalogs, or modify boot configuration data to inhibit system recovery, a common behavior observed during ransomware and wiper attacks.
Detects the creation of suspicious scheduled tasks using the Windows schtasks.exe utility. The rule flags tasks that are configured to run as SYSTEM, include PowerShell encoded commands, or target directories commonly used for persistence such as Temp, AppData, or Public.
IOC hunt across DNS, network, and file-hash telemetry for the Ledger Google Ads phishing campaign. Vercel redirect domains are matched by exact hostname (DNS query name / parsed URL host) rather than substring, eliminating false positives from unrelated strings that merely contain a look-alike domain fragment. GCS bucket and Google Sites path IOCs remain substring-matched since the bucket IDs and page slugs are already highly specific.
Detects the creation or modification of Windows service registry keys where the ImagePath points to a binary with a non-standard file extension (e.g., .s, .c, .l). This behavior is associated with the NeedyMantis malware family, which utilizes non-standard naming for persistence mechanisms to evade basic detection.
Detects DNS lookups and outbound network connections to known command and control (C2) and staging domains associated with the STAC4924 campaign. The rule performs strict matching on domain names to ensure that subdomains are identified while avoiding false positives from partial string matches within URLs.
This rule detects the execution of node.exe or a specific binary named 'ProfileQuickHost.exe' spawned by wscript.exe. This activity is indicative of a VBScript-based loader (often referred to as 'ChainScript') executing a staged Node.js RAT or secondary payload from user-writable application folders (AppData).
A July 2026 incident used Polygon smart contracts (EtherHiding) for dynamic payload routing/C2 following a ClickFix/FileFix-style lure driven by compromised WordPress credentials.
Detects suspicious npm preinstall activity or node_modules execution patterns involving the execution of the Bun JavaScript runtime. This behavior is often indicative of supply chain compromise where malicious npm packages attempt to drop and run unauthorized binaries to facilitate secondary payload execution.
Detects a potential post-compromise lateral movement sequence where a host, previously identified as accessing sensitive browser credential files by an unauthorized process, subsequently initiates RDP or WinRM connections to other internal hosts using an account not previously observed performing interactive logons on that source host.
Detects unauthorized access or modification attempts to common web browser credential storage files (such as 'Login Data' or 'key4.db') by processes other than standard, trusted web browsers (e.g., Chrome, Edge, Firefox). This behavior is indicative of credential harvesting, where an adversary attempts to steal saved login information from browser data stores.
Detects indicators associated with the ChatGPT Custom GPT ClickFix campaign across process, network connection, DNS, and HTTP telemetry: known malicious file hashes, C2 IP addresses, the chattypetty.com domain, and known payload-hosting URLs.
Detects git checkout of a bare 40-hex commit SHA or the literal FETCH_HEAD ref, executed by a recognized AI coding-agent process. Narrowed to the Plugin4Shell exploitation fingerprint (checkout of a pinned-SHA-shaped or FETCH_HEAD ref) rather than ordinary branch/tag checkouts, which these agents perform constantly during normal plugin installs.
Detects the use of PowerShell commands to modify file timestamps (CreationTime, LastWriteTime, LastAccessTime) on web application directories and configuration files, a technique often used by attackers to hide modifications made to webshells or malicious scripts.
Detects a multi-stage activity where PowerShell is used to download a ZIP file, followed by the execution of a batch script (1.bat) that subsequently launches LockScreenContentServer.exe. This behavior is indicative of a DLL side-loading chain designed to execute malicious code via legitimate processes.
Detects instances where a Microsoft IIS worker process (w3wp.exe) executes commands such as 'findstr', 'Get-Content', or 'Select-Xml' to scan configuration files (e.g., applicationHost.config, web.config) or source code files (e.g., App_Code/*.cs) for sensitive information like passwords, connection strings, or API keys. This behavior is indicative of credential harvesting by an attacker using a webshell or compromised IIS process.
Detects the creation of named pipes associated with default Cobalt Strike malleable profiles and common open-source C2 frameworks (e.g., Sliver, Havoc) via EDR pipe-creation telemetry. These pipes are frequently used for SMB beacon communication within compromised networks.
Detects the loading of the known vulnerable GIGABYTE driver (gdrv.sys) on Windows systems. Attackers leverage this driver as part of Bring Your Own Vulnerable Driver (BYOVD) attacks to perform privilege escalation by exploiting kernel-mode vulnerabilities.
Detects the execution of known Remote Monitoring and Management (RMM) tools from common staging directories (e.g., Temp, Downloads, AppData) or using command-line arguments indicative of a silent or hidden installation, which is a common pattern for initial access and persistence by adversaries.
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