Arnold Chan
@slazTrusted contributorCompletionist
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7,544 detections
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This rule detects various malicious indicators including known file hashes, IP addresses, domains, and specific URLs associated with threat activity. It consolidates hits from process, file, and network telemetry to alert on potential compromise or communication with identified command-and-control (C2) infrastructure.
Detects automated reconnaissance using WMI or PowerShell to perform broad queries for system environment, security products, network adapters, software, and hardware attributes. The detection focuses on clusters of distinct WMI reconnaissance categories occurring within a 15-minute window, which is often indicative of pre-C2 profiling by adversaries.
Detects automated reconnaissance using WMI or PowerShell to perform broad queries for system environment, security products, network adapters, software, and hardware attributes. The detection focuses on clusters of distinct WMI reconnaissance categories occurring within a 15-minute window, which is often indicative of pre-C2 profiling by adversaries.
This rule detects potential DLL sideloading activity where legitimate, signed binaries (such as COTFileReadApp.exe or DeElevate64.exe) are executed from non-standard directories (e.g., AppData, Temp, Downloads) while loading specifically identified malicious or sideloaded DLLs. The detection identifies patterns where these binaries operate outside their expected vendor installation paths, indicating a likely attempt to hijack execution flow.
This rule detects potential exploitation of the Oracle PeopleSoft PSEMHUB component vulnerability (CVE-2026-35273). It identifies suspicious POST requests to the PSEMHUB HttpListeningConnector servlet, including obfuscated URL paths, followed by the creation of suspiciously named .jsp or .jspx files in the PSEMHUB.war application directory, which is indicative of a web shell deployment.
Detects execution of encoded commands in macOS terminal environments that originate from clipboard content mimicking a reCAPTCHA verification process. This pattern often involves users being social-engineered into pasting a malicious string that decodes a payload and pipes it directly into a shell interpreter (sh/bash/zsh). The rule monitors for the co-occurrence of base64/openssl decoding commands and shell execution pipes, while filtering out known legitimate software installation patterns.
Detects network connections from common web browsers to domains associated with the BragJack threat actor infrastructure. This activity potentially indicates an end-user accessing malicious sites used for credential harvesting, malware delivery, or C2 communication.
This rule monitors for network connections and process activities associated with known malicious indicators, including file hashes, C2 IP addresses, domains, and specific URLs. It maps these activities to identify potential command and control communication or other malicious network activity occurring on endpoints.
Sweeps DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents over a rolling 30-day window for known RevStealer indicators: exact SHA-256 matches against all 13 published file hashes, and exact-host matches (via parsed URL host, not substring) against the confirmed C2 domain meta7.archscreen68.one. An empty, extensible IP list is included for when a malicious IP is published.
This rule detects established TLS connections to external domains that exhibit characteristics often associated with phishing campaigns. Specifically, it looks for domain names in the SNI field that contain common brand names (e.g., microsoft, google, paypal) combined with typical login-related keywords (e.g., login, verify, auth) on high-churn or suspicious Top-Level Domains (TLDs) such as .top, .xyz, or .icu.
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