Arnold Chan
@slazTrusted contributorCompletionist
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This rule detects outgoing HTTP requests to 'apimantax.otax.fun' attempting to initiate a WebSocket upgrade connection. This is characteristic of the Mantax Otax v2 malware family establishing a Command and Control (C2) channel.
This rule identifies successful OAuth 2.0 device code authentication attempts originating from both an IP address and country not previously seen for that specific user, using a 90-day baseline that requires at least 5 prior non-device-code sign-ins to be established (reducing noise from sparse-history/new accounts). It excludes known legitimate device-code applications (e.g., Azure CLI, Azure PowerShell, Visual Studio, VS Code) and sign-ins from devices already marked compliant/managed. This tightened logic reduces false positives from routine travel or home/office network changes while still catching device code phishing, where an adversary tricks a user into entering a device code on a malicious site to obtain an access token.
Detects high-frequency access to 'about' pages from a single IP address, indicative of potential reconnaissance or information gathering on an organization's public-facing infrastructure. The rule filters out common search engine crawlers and triggers only when a significant number of distinct pages are requested within a short timeframe.
Detects high-frequency access to 'about' pages from a single IP address, indicative of potential reconnaissance or information gathering on an organization's public-facing infrastructure. The rule filters out common search engine crawlers and triggers only when a significant number of distinct pages are requested within a short timeframe.
Detects anomalous, high-frequency access to LinkedIn 'about' pages, which may indicate reconnaissance activity or attempts to gather sensitive organizational information by an adversary. The rule uses threshold-based aggregation to filter out standard search engine crawlers and identify potentially malicious scanning behavior.
Detects anomalous, high-frequency access to LinkedIn 'about' pages, which may indicate reconnaissance activity or attempts to gather sensitive organizational information by an adversary. The rule uses threshold-based aggregation to filter out standard search engine crawlers and identify potentially malicious scanning behavior.
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 anomalous child processes spawned by a Chrome renderer process. This behavior is often indicative of exploitation attempts, such as the BlueMoon exploit kit leveraging CVE-2026-85046, where a compromised renderer attempts to escape the sandbox or execute arbitrary code in the host process.
Detects host-based activity or network communication associated with the SloppyRAT remote access trojan. The rule monitors for specific malicious file hashes and connection attempts to known C2 IP addresses and domains.
Detects file hash hits matching known malicious IOCs or network connections to suspicious domains/URLs.
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