Arnold Chan
@slazTrusted contributorCompletionist
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7,544 detections
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This rule detects the execution of common remote access and management (RMM) tools from non-standard directories such as user profiles, temp folders, or other locations outside of standard application installation paths (e.g., Program Files or ProgramData). Such activity is often indicative of unauthorized remote access setup or the use of portable RMM binaries by an adversary to maintain persistent access.
This rule detects the execution of common remote access and management (RMM) tools from non-standard directories such as user profiles, temp folders, or other locations outside of standard application installation paths (e.g., Program Files or ProgramData). Such activity is often indicative of unauthorized remote access setup or the use of portable RMM binaries by an adversary to maintain persistent access.
This rule detects the execution of common remote access and management (RMM) tools from non-standard directories such as user profiles, temp folders, or other locations outside of standard application installation paths (e.g., Program Files or ProgramData). Such activity is often indicative of unauthorized remote access setup or the use of portable RMM binaries by an adversary to maintain persistent access.
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.
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.
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.
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.
Detects potential local privilege escalation via Windows ALPC (Advanced Local Procedure Call) heap-based buffer overflow by identifying a non-SYSTEM Chrome process tree spawning child processes with SYSTEM privileges. The rule specifically monitors for suspicious child binaries or paths characteristic of exploit payloads while excluding legitimate Chrome update and crash handler processes.
Detects a sequence of authentication activity indicative of a credential stuffing attack. The rule identifies a burst of failed password-only authentication attempts followed by a successful authentication for the same account. It requires that the IP address used for the successful login overlaps with the set of IPs that initiated the failed attempts, effectively filtering out typical user noise and highlighting potentially malicious activity where an attacker has identified a valid credential.
Detects a sequence of events where a user clicks a shared link to an AI chatbot conversation followed closely (within 15 minutes) by the execution of potentially malicious processes (mshta, powershell, cmd) that include suspicious command-line patterns indicative of ClickFix-style social engineering.
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