Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects SectopRAT (Arechclient2) .NET RAT binaries deployed via tampered libcef.dll / JetBrains helper DLL sideloading that harvest browser credentials, cookies, credit card data, and files. Tightened to require combined sideload+family+target indicators plus .NET CLR import evidence, avoiding standalone generic strings.
Detects the accumulator-based virtual machine (VM) skeleton used by Vidar Stealer (v2.0+) to obfuscate its internal configuration and strings. The rule specifically identifies a combination of bit-manipulation and arithmetic primitives (ROR, ROL, NOT, IMUL, ADD, SUB, XOR) acting as a dispatcher pattern within highly entropic executable sections, which is a characteristic behavioral artifact of the Vidar Stealer obfuscation engine.
Detects PE files masquerading as PuTTY executables that match the specific file size characteristics associated with the Exvicy Malware-as-a-Service (MaaS) distribution model. The rule identifies suspicious executables by looking for PuTTY-related strings in files that are either unsigned or exhibit high entropy, suggesting potential packing or malicious modification.
This rule monitors for a variety of indicators associated with malicious activity, including connections to known malicious IP addresses, the presence of specific malicious file hashes or filenames, modifications to Windows system policies (specifically Legal Notice configuration), and changes to Active Directory Group Policy Objects using specified GUIDs.
Detects specific file artifacts associated with an AsyncRAT infection chain that leverages a renamed AutoIT interpreter. The rule looks for the presence of a renamed executable, an encrypted .ini loader script, and an unnamed binary payload staged within a temporary directory, as well as associated batch script activity.
This rule monitors for the creation or renaming of executable files (.exe) within the 'Users\Public' directory. This directory is commonly used by adversaries for staging malicious payloads, as it is writable by standard users and often overlooked by security controls.
This rule detects the execution of a specific MSI package identified by its filename and hash (MD5/SHA256). The rule monitors 'msiexec.exe' process executions and alerts when the process command line or file hash matches a known malicious indicator.
This rule monitors for file and process creation events associated with known MD5 and SHA256 hashes linked to the Vidar infostealer malware.
This rule monitors for file and process creation events associated with known MD5 and SHA256 hashes linked to the Vidar infostealer malware.
Matches known Vidar Stealer sample SHA256 hashes spanning versions 2.0 through 3.4 as identified by Zscaler ThreatLabz
Detects Vidar Stealer v2.x-3.x custom VM bytecode interpreter used to deobfuscate strings via a fetch-decode-execute loop with sparse opcode dispatch and single accumulator
Detects Vidar Stealer v2.x-3.x custom VM bytecode interpreter used to deobfuscate strings via a fetch-decode-execute loop with sparse opcode dispatch and single accumulator
Detects execution of Windows Installer packages (MSI) masquerading as common software installers (Spotify, Zoom, Microsoft Teams) using known ChainScript-style naming patterns and suspicious command-line parameters (e.g., ALLUSERS=2, MSIINSTALLPERUSER=1) or invocation from common user-mode applications like cmd.exe, powershell.exe, or explorer.exe.
Detects the execution of NetSupport Remote Access Tool (RAT) components (client32.exe, Nskbfltr.sys, or TCCTL32.dll) from locations outside of the standard program installation directories. This behavior is often indicative of unauthorized persistence or masquerading by malware utilizing remote support software for C2.
Detects endpoint behavior consistent with AI-assisted exploit development, characterized by the execution of reverse engineering and vulnerability research tools (e.g., IDA Pro, Ghidra, AFL) interleaved with frequent outbound network connections to LLM APIs, followed by the local compilation of a new executable or DLL.
This rule correlates web clicks on Google Sites URLs containing keywords related to GlobalProtect with the subsequent creation or renaming of an unsigned or improperly signed GlobalProtect.msi file on the same endpoint within a 30-minute window. This behavior is indicative of a spearphishing attempt using a masqueraded landing page to deliver malicious or unauthorized software.
Detects endpoint behavior consistent with AI-assisted exploit development, characterized by the execution of reverse engineering and vulnerability research tools (e.g., IDA Pro, Ghidra, AFL) interleaved with frequent outbound network connections to LLM APIs, followed by the local compilation of a new executable or DLL.
This rule monitors network, file, and process telemetry for matches against a predefined list of malicious IP addresses, domain names, and file hashes. It flags suspicious network connections to known C2 infrastructure and the presence or execution of known malicious files based on SHA256 and SHA1 indicators.
This rule monitors network, file, and process telemetry for matches against a predefined list of malicious IP addresses, domain names, and file hashes. It flags suspicious network connections to known C2 infrastructure and the presence or execution of known malicious files based on SHA256 and SHA1 indicators.
This rule monitors network, file, and process telemetry for matches against a predefined list of malicious IP addresses, domain names, and file hashes. It flags suspicious network connections to known C2 infrastructure and the presence or execution of known malicious files based on SHA256 and SHA1 indicators.
This rule monitors network, file, and process telemetry for matches against a predefined list of malicious IP addresses, domain names, and file hashes. It flags suspicious network connections to known C2 infrastructure and the presence or execution of known malicious files based on SHA256 and SHA1 indicators.
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