Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects instances where a process attempts to delete its own executable file image shortly after being launched. This behavior is often associated with malware attempting to minimize its forensic footprint, such as self-deleting installers or RAT (Remote Access Trojan) components that move to a different location or execute from memory.
Detects instances where the Node.js runtime process (node.exe) spawns a command shell (cmd.exe) or PowerShell (powershell.exe). This pattern is frequently used by malicious Node.js-based applications, RATs, or web shells to execute arbitrary commands on a compromised host.
Detects the staging of ChainScript files into specific, masquerading subdirectories within user AppData folders that mimic legitimate Windows system paths. This activity is indicative of the _scatter.ps1 script redistributing components such as the Node.js runtime, agent configuration, and helper utilities before execution.
Detects Node.js or Python processes exhibiting behavior characteristic of information-stealing malware (such as the WaterPlum suite: BeaverTail, InvisibleFerret, OtterCookie, StoatWaffle). The rule monitors for these processes accessing sensitive files related to browser credentials, cryptocurrency wallets, scanned identification documents, or performing collection activities like keylogging and screen capturing.
Detects suspicious command-line patterns typically used for downloading or executing malicious payloads, such as curl, base64 encoding, and PowerShell web requests, when spawned directly from Node.js or Visual Studio Code processes. This behavior is associated with supply chain compromises and loader activity (e.g., WaterPlum/Contagious Interview) targeting development environments.
This rule detects artifacts and behaviors associated with the WaterPlum/Contagious Interview (also known as DeceptiveDevelopment) malware suite, including BeaverTail, InvisibleFerret, and related payloads. The rule specifically targets the presence of embedded family-name strings, as well as the execution of suspicious npm package installations triggered by VS Code task automation (tasks.json) or trust prompts, common in fake technical interview attack scenarios.
This rule monitors for the installation of specific known-malicious or suspicious NPM packages that are commonly used in supply chain attacks. It identifies the execution of npm (or node) commands to install or add packages explicitly listed as malicious by security research, which may indicate a supply chain compromise or an attempt to introduce unauthorized code into the development environment.
Detects instances where a non-browser process initiates network connections to multiple AI service providers and Discord within a 15-minute correlation window, potentially indicating automated data exfiltration or unauthorized interaction with AI platforms using tools other than standard web browsers.
Detects the use of 7-Zip (7z.exe) to extract a file named drata.dat using command line arguments that indicate silent extraction from an encrypted or password-protected archive. This behavior is associated with the LegionLoader malware, which uses this technique to stage its payload.
Detects the use of 'winget configure' to retrieve and apply a Desired State Configuration (DSC) file from a remote HTTPS URL. This behavior can be abused to execute malicious configuration scripts directly from the internet.
Detects unauthorized or suspicious persistence attempts where Windows Package Manager (WinGet) configuration processes (ConfigurationRemotingServer.exe or WindowsPackageManagerServer.exe) write to the Windows 'Run' registry keys in HKLM. This behavior can be abused to execute malicious code automatically at system startup.
Detects the WinGet DSC configuration engine spawning service management processes such as sc.exe or PowerShell to create or modify Windows services. This activity is consistent with the abuse of DSC 'Service' resources to achieve persistence or privilege escalation by registering services to run as LocalSystem.
Detects potential misuse of AI agentic frameworks (e.g., Semantic Kernel) where the host process executes destructive commands (e.g., file deletion, wiping, shadow copy deletion) or performs large-scale file deletion, which may indicate unauthorized tool invocation or compromised AI agents.
Detects common runtime processes (Node.js, npx, Python) often used for Model Context Protocol (MCP) servers accessing sensitive local credential files such as AWS credentials, SSH private keys, or environment files. This behavior is indicative of potential credential harvesting by unauthorized MCP servers in developer environments.
Detects persistence and execution abuse within hidden IDE/AI assistant workspace directories (e.g., .vscode, .cursor, .claude). The rule monitors for the creation or modification of configuration files used for automated task execution and identifies process execution patterns originating from these directories that invoke downloaders (curl, wget) or decoders (base64) to fetch or execute payloads.
Detects the execution of a renamed DISM binary (index.exe) that subsequently loads a specific DLL (DismCore.dll), which is a common technique used for DLL side-loading to evade security controls by masquerading as a legitimate system utility.
Detects the presence of configuration markers associated with cryptocurrency clipboard-swapping malware. The rule monitors process command lines for specific flags (e.g., 'cclipper', 'clipboard_check_delay') and cryptocurrency wallet address dictionary keys, which are common indicators of malicious software designed to replace legitimate destination wallet addresses copied to the clipboard with attacker-controlled addresses.
Detects the installation of a specific malicious Firefox browser extension identified by its unique internal ID 'pdf-para-texto@extensao.local' or by its name 'PDF Identity Verifier'. This behavior is characteristic of adversaries using browser extensions for persistence or credential theft.
Detects instances where the Firefox browser or its plugin container process initiates a DNS query for domains containing 'pdf.gusercontent.com', which is a known lookalike pattern used to masquerade as legitimate Google infrastructure for potential command and control or data exfiltration activities.
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.
Detects the abuse of Windows Management Instrumentation (WMI) to execute processes via wmic.exe or WmiPrvSE.exe, often combined with obfuscated command-line arguments such as encoded PowerShell or CMD commands.
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