Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potential malicious activity by matching endpoint file events against a known list of malicious file hashes (SHA256, SHA1, MD5) and monitoring for connections to known malicious domains or URLs.
This rule detects potential malicious activity by matching endpoint file events against a known list of malicious file hashes (SHA256, SHA1, MD5) and monitoring for connections to known malicious domains or URLs.
Detects network activity associated with the 'ClickFix' campaign, specifically targeting the cdnsuicaches[.]com domain. The rules identify the initial DNS query, the subsequent TLS SNI connection, and the retrieval of malicious JavaScript containing the 'cookie-captcha-complete' overlay signature. This behavior is indicative of a browser-based social engineering attack.
This rule monitors endpoint telemetry (File, Process, and Network events) to identify activity associated with a pre-defined set of known malicious file hashes, IP addresses, and domains. It correlates these indicators to detect potential malware execution, persistence, or command-and-control communication on monitored devices.
This rule monitors endpoint telemetry (File, Process, and Network events) to identify activity associated with a pre-defined set of known malicious file hashes, IP addresses, and domains. It correlates these indicators to detect potential malware execution, persistence, or command-and-control communication on monitored devices.
This rule monitors endpoint telemetry for known indicators of compromise associated with the Casbaneiro/Ousaban banking trojan. It identifies activity across network connections (IPs and domain patterns), DNS queries for specific C2 domains, and the presence or execution of known malicious file hashes (e.g., PDF lures, HTA, AutoIt scripts, and payload binaries).
This rule monitors for network connections to known command-and-control (C2) domains or DGA-patterned domains (ending in .icu or .cfd), as well as the execution or file creation of files matching known malicious SHA256 hashes.
Detects indicators of the Bazinga macOS backdoor and Polygon-C2 campaign, including specific command-and-control domains, C2 infrastructure IP addresses, persistence mechanisms via launch agent property lists, and associated cryptographic indicators like file hashes and wallet addresses.
Detects the execution of command-line sequences associated with the second stage of ClickFix-style malware (often linked to AMOS or fake-Xcode campaigns). This rule looks for the concatenation of hex decoding (xxd), AES decryption (openssl), decompression (gunzip), and subsequent evaluation (eval) of a shell variable, which is a signature pattern for decrypting and executing malicious payloads in memory.
Detects the execution of command-line sequences associated with the second stage of ClickFix-style malware (often linked to AMOS or fake-Xcode campaigns). This rule looks for the concatenation of hex decoding (xxd), AES decryption (openssl), decompression (gunzip), and subsequent evaluation (eval) of a shell variable, which is a signature pattern for decrypting and executing malicious payloads in memory.
Detects the execution of command-line sequences associated with the second stage of ClickFix-style malware (often linked to AMOS or fake-Xcode campaigns). This rule looks for the concatenation of hex decoding (xxd), AES decryption (openssl), decompression (gunzip), and subsequent evaluation (eval) of a shell variable, which is a signature pattern for decrypting and executing malicious payloads in memory.
Detects execution of a specific suspicious executable file masquerading in the Windows Temp directory, coupled with the access of an associated .ini configuration file. This behavior is indicative of AsyncRAT deployment, often involving initial execution or staging of configuration files within volatile user directories.
Detects presence of configuration markers associated with the Hannibal Stealer 'clipper' functionality. These markers (e.g., 'cclipper', 'clipboard_check_delay') are used by the malware to monitor the system clipboard and replace cryptocurrency wallet addresses with attacker-controlled addresses.
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.
Detects the execution of RatHat, a Go-based Android native daemon masquerading as 'liblocal-service.so'. The rule identifies the malware's use of ADB-derived shell commands to bypass Android Doze mode, prioritize background execution, and tamper with installed applications via pm (package manager) commands.
This rule monitors for known malicious file hashes, IP addresses, C2 domains, and specific URL markers associated with identified threat activity. It consolidates multiple detection vectors including file activity, process execution, network connections, and DNS queries to identify compromised devices communicating with attacker-controlled infrastructure.
Comprehensive IOC sweep across endpoint file/process/network telemetry for the full set of known SilkParasite/SpiceRAT/NodeEdgeRAT/NomadRAT/BloodAlchemy infrastructure indicators reported by Hunt.io and Security Affairs: all listed C2/decoy/certificate-hosting IPs, all listed spoofed/infrastructure domains, and known file/certificate hashes (SHA256, SHA1).
Comprehensive IOC sweep across endpoint file/process/network telemetry for the full set of known SilkParasite/SpiceRAT/NodeEdgeRAT/NomadRAT/BloodAlchemy infrastructure indicators reported by Hunt.io and Security Affairs: all listed C2/decoy/certificate-hosting IPs, all listed spoofed/infrastructure domains, and known file/certificate hashes (SHA256, SHA1).
Comprehensive IOC sweep across endpoint file/process/network telemetry for the full set of known SilkParasite/SpiceRAT/NodeEdgeRAT/NomadRAT/BloodAlchemy infrastructure indicators reported by Hunt.io and Security Affairs: all listed C2/decoy/certificate-hosting IPs, all listed spoofed/infrastructure domains, and known file/certificate hashes (SHA256, SHA1).
Detects the presence of the CastleLoader intermediate loader binary on disk, associated with the SloppyRAT infection chain. The rule identifies specific file content patterns, including hardcoded strings such as 'CastleLoader', 'CastleRAT', specific user-agents, and embedded Python code used for base64/zlib decoding of further payloads.
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