Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
51 detections
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This rule detects anomalous network traffic patterns characteristic of the JWR phishing framework. It identifies live, operator-driven exfiltration where an attacker issues specific instruction sequences (e.g., to_card, to_sms, to_2fa) via HTTP polling or WebSockets to facilitate the character-by-character capture of sensitive information like payment card details and OTPs from a victim.
Detects the use of the 'getevent' debugging utility within an Android shell context (UID 2000) to monitor raw touch input events from /dev/input. This technique, often referred to as 'AdbTouchCapture', can be used to capture coordinate data from touchscreens, potentially bypassing system-level security controls like FLAG_SECURE to reconstruct user input, gestures, or PIN/pattern credentials.
Detects OtterCookie JavaScript-based RAT/infostealer malware artifacts associated with WaterPlum/Contagious Interview campaign
Detects OtterCookie JavaScript-based RAT/infostealer malware artifacts associated with WaterPlum/Contagious Interview campaign
Detects OtterCookie JavaScript-based RAT/infostealer malware artifacts associated with WaterPlum/Contagious Interview campaign
Detects OtterCookie JavaScript-based RAT/infostealer malware artifacts associated with WaterPlum/Contagious Interview campaign
Detects when a Node.js process initiates a low-level keyboard hook (WH_KEYBOARD_LL or WH_KEYBOARD) while running from common user-writable directories, which may indicate malicious keylogging activity by a suspicious process.
Detects when a Node.js process initiates a low-level keyboard hook (WH_KEYBOARD_LL or WH_KEYBOARD) while running from common user-writable directories, which may indicate malicious keylogging activity by a suspicious process.
Detects when a Node.js process initiates a low-level keyboard hook (WH_KEYBOARD_LL or WH_KEYBOARD) while running from common user-writable directories, which may indicate malicious keylogging activity by a suspicious process.
Detects when a Node.js process initiates a low-level keyboard hook (WH_KEYBOARD_LL or WH_KEYBOARD) while running from common user-writable directories, which may indicate malicious keylogging activity by a suspicious process.
Detects when a Node.js process initiates a low-level keyboard hook (WH_KEYBOARD_LL or WH_KEYBOARD) while running from common user-writable directories, which may indicate malicious keylogging activity by a suspicious process.
Windows PowerShell Password Input Window
Cortex XDR
Detects a user-session window titled 'Password Input' associated with PowerShell, PowerShell Core, or PowerShell ISE processes. This technique may be used for GUI-based credential capture or social engineering.
Detects connections to the local CDP WebSocket server on port 18907 tied to the chrome_remote/browser_remote backdoor family, used for session-cookie theft, password capture, browser API hooking, and MetaMask/dApp manipulation.
Detects connections to the local CDP WebSocket server on port 18907 tied to the chrome_remote/browser_remote backdoor family, used for session-cookie theft, password capture, browser API hooking, and MetaMask/dApp manipulation.
Detects binaries containing plaintext keyword trigger lists used by a keylogger module to target financial and cryptocurrency-related contexts (banking, wallets, payment services)
Detects the presence of file system artifacts associated with a malicious Chrome extension (ID: flkebkiofojicogddingbdmcmkpbplcd) that masquerades as a 'Perplexity AI' search tool. This extension is known to hijack browser search queries by redirecting them through the typosquatted domain 'perplexity-ai.online'.
Detects a malicious Chrome extension exfiltrating keystrokes entered into the browser's Omnibox. The rule monitors for high-frequency GET requests (indicative of keystroke-by-keystroke transmission) from chrome.exe to a specific C2 domain (perplexity-ai.online), correlated with DNS resolution of that domain within the same session.
Detects network requests to a typosquatted domain 'perplexity-ai.online' initiated by a malicious browser extension. The extension uses the 'suggest_url' feature to exfiltrate keystrokes typed into the browser omnibox in real-time, effectively performing browser-based keylogging.
This rule detects potential keylogging activity by identifying either low-level Windows keyboard hooks initiated by suspicious processes or the creation of suspicious log files in user-writable directories by unsigned processes. It filters out common, trusted browser processes and signed Microsoft binaries to reduce noise.
This rule detects potentially malicious activity involving the CredentialUIBroker.exe process or the use of SetWindowsHookEx API calls. These behaviors are often associated with attempts to intercept user input or dump credentials from system processes.
Detects process activity indicative of keylogging by the Remcos RAT loader. The rule specifically looks for processes with 'Remcos' or 'GST*.com' in their file name that also contain command-line arguments related to capturing window text or foreground window information, which are common keylogger behaviors.
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