Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
40,063 detections
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Detects Node.js or NPM process executions that reference Twilio-specific credential variables (ACCOUNT_SID, AUTH_TOKEN) within the command line, likely indicating an attempt to harvest these secrets from a developer environment.
Detects indicators of RMMCRAT malware installation, which masquerades as JivaChat software. The rule identifies suspicious process execution (e.g., rmm.exe), specific file artifacts created in ProgramData, and persistence mechanisms including Windows service registration, 'Load' registry value abuse, and a unique COM CLSID hijack. The logic enforces corroboration across different signal types (process, file, registry) or triggers on the unique CLSID.
This rule detects network traffic patterns indicative of the Lumma Stealer 'ClickFix' phishing campaign. It identifies outbound requests to suspicious domains ending in .cyou utilizing specific user agents (WinHttp or Microsoft BITS), which are characteristic of malicious PowerShell scripts attempting to retrieve secondary payloads.
This rule detects potential malicious activity by matching file hashes against a known list of malicious indicators and monitoring for suspicious network connections. The network monitoring includes connections to hardcoded malicious IP addresses, specific C2 URLs, and DNS queries for known fallback domains used in malicious infrastructure when the initiating process is not a recognized web browser or wallet application.
Detects the execution of known credential harvesting tools such as Mimikatz, LaZagne, and pypykatz, or the use of their specific command-line arguments. The rule includes exclusions for common security software processes and authorized testing paths.
Detects endpoint network connections to Heroku-hosted domains containing Google Ads tracking parameters (gclid, gad_source, gad_campaignid). This activity is associated with the initial staging phase of 'ShopEase' style malware delivery chains, where users are directed to decoy pages that prepare the environment for subsequent malicious browser-based actions.
Detects the installation of a potential remote monitoring and management (RMM) agent via common tools like msiexec, nssm, or sc.exe, followed by consistent HTTPS beaconing to domains hosted on Azurewebsites.net. This pattern is indicative of unauthorized remote access tools used for command and control.
Detects HTTP(S) requests to known SideCopy/ReverseRAT payload-delivery URLs identified in Operation SideCopy spear-phishing campaigns targeting Indian academia.
This rule detects processes command lines containing specific strings ('EmbedHtml', 'EmbedHtml::GetUrl', 'GetUrl()') associated with suspicious NSIS (Nullsoft Scriptable Install System) script behavior often linked to the OpenSUpdater malware downloader, which uses these calls to fetch additional malicious payloads.
This rule detects network connections originating from hosts to specific remote domains ('codeonicinc.com', 'setupsoftwarecenter.com') which are associated with OpenSUpdater command and control (C2) activity. It leverages Microsoft Defender DeviceNetworkEvents to identify endpoints communicating with these known malicious infrastructure components.
Detects the use of package installation commands (pip, npm, npx) where the package name resembles popular AI/ML libraries (tensorflow, torch, openai, langchain) but is not an exact match for known legitimate versions. This is a common indicator of a typosquatting supply chain attack, where attackers attempt to trick users into installing malicious packages with similar names to trusted software.
This rule detects outbound network connections originating from managed devices where the remote URL or domain matches known underground LLM-based services, such as WormGPT, FraudGPT, or EvilGPT, which are often used by threat actors for malicious activities like generating phishing content or malware.
This rule detects the presence of command line artifacts, filenames, and strings associated with the SilverFox malware. These strings indicate the execution of a malicious desktop monitoring component ('active_desktop_launcher.exe') or the use of specific IPC/configuration markers ('@@RAPID_CFG_START@@') characteristic of this threat's tradecraft.
This rule detects network connections from internal devices to a specific remote IP address (134.122.155.135) over port 443. This is characteristic of communication with a known or suspicious Command and Control (C2) server.
Detects the specific pattern associated with Storm-2570 for enabling Remote Desktop Protocol (RDP) on a target host to facilitate lateral movement. The detection looks for registry modifications to disable RDP denial (fDenyTSConnections=0), firewall rules allowing TCP port 3389 via netsh or PowerShell, and the deployment of these configurations using PsExec against a target host list file.
Detects multiple reconnaissance commands executed by PowerShell processes running as the SYSTEM account. This behavior is indicative of an attacker attempting to enumerate domain trusts, group memberships, or user sessions on a host to facilitate lateral movement or privilege escalation.
Detects instances where common web browsers (chrome, msedge, firefox, brave) are spawned as child processes by suspicious parent applications or scripting environments such as PowerShell, CMD, WScript, MSHTA, or Office documents (Winword, Excel). This behavior is often indicative of malicious document execution, file-less malware techniques, or drive-by download attempts.
This rule detects unauthorized or unauthenticated attempts to call the NetrServerPasswordSet2 method on a Domain Controller via the MS-NRPC (Netlogon) interface, which is indicative of an exploitation attempt related to CVE-2020-1472 (Zerologon). This vulnerability allows an attacker to bypass authentication and reset a Domain Controller's computer account password, leading to full domain compromise.
Detects the execution of PowerShell or PowerShell Core (pwsh) triggered by common Windows shell applications (explorer, mshta, wscript, cscript) where the command line contains indicators associated with the downloading of VelvetCake stager files, including specific GitHub raw content URLs or AppData paths referencing known stager filenames.
Detects the VelvetCake malware installation and operational pattern, which utilizes a scheduled task named 'OneDriveUpdateScheduler' to execute PowerShell scripts ('update1.ps1' or 'update2.ps1'). These scripts periodically retrieve modules or payloads from external infrastructure, specifically hardcoded C2 IPs or a dedicated GitHub repository.
This rule detects network traffic patterns associated with the ARToken PhaaS backend infrastructure. It identifies specific fixed URI paths and cross-affiliate API route contracts used by the backend service, as well as known indicators of compromise for affiliate infrastructure, to monitor for potential credential harvesting or adversary-controlled service interaction.
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