Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The following analytic detects the use of the Linux 'xclip' command to copy data from the clipboard. It leverages Linux Auditd telemetry, focusing on process names and command-line arguments related to clipboard operations. This activity is significant because adversaries can exploit clipboard data to capture sensitive information such as passwords or IP addresses. If confirmed malicious, this technique could lead to unauthorized data exfiltration, compromising sensitive information and potentially aiding further attacks within the environment.
The following analytic detects the use of the Linux 'xclip' command to copy data from the clipboard. It leverages Endpoint Detection and Response (EDR) telemetry, focusing on process names and command-line arguments related to clipboard operations. This activity is significant because adversaries can exploit clipboard data to capture sensitive information such as passwords or IP addresses. If confirmed malicious, this technique could lead to unauthorized data exfiltration, compromising sensitive information and potentially aiding further attacks within the environment.
Detects Node.js or Python processes exhibiting behavior characteristic of information-stealing malware (such as the WaterPlum suite: BeaverTail, InvisibleFerret, OtterCookie, StoatWaffle). The rule monitors for these processes accessing sensitive files related to browser credentials, cryptocurrency wallets, scanned identification documents, or performing collection activities like keylogging and screen capturing.
Detects the presence of configuration markers associated with cryptocurrency clipboard-swapping malware. The rule monitors process command lines for specific flags (e.g., 'cclipper', 'clipboard_check_delay') and cryptocurrency wallet address dictionary keys, which are common indicators of malicious software designed to replace legitimate destination wallet addresses copied to the clipboard with attacker-controlled addresses.
Detects Node.js or Python processes exhibiting behavior characteristic of information-stealing malware (such as the WaterPlum suite: BeaverTail, InvisibleFerret, OtterCookie, StoatWaffle). The rule monitors for these processes accessing sensitive files related to browser credentials, cryptocurrency wallets, scanned identification documents, or performing collection activities like keylogging and screen capturing.
Detects anomalous, high-frequency access to clipboard APIs (GetClipboardData/SetClipboardData) by non-standard, unrecognized processes. The rule specifically monitors for patterns consistent with clipper malware, which polls the clipboard for cryptocurrency address formats and replaces them with attacker-controlled addresses.
Detects anomalous, high-frequency interaction with the Windows clipboard by explorer.exe. This activity is often associated with unauthorized data collection or exfiltration attempts by malware residing within or masquerading as the Windows shell.
Detects instances where a browser process (Chrome, Edge, Firefox, or IE) programmatically writes content to the system clipboard using JavaScript commands. This pattern is commonly observed in 'ClickFix' style social engineering attacks, where a user is coerced into copying and executing a malicious command script provided by an attacker, often in the context of resolving a fake system error.
This rule detects suspicious clipboard access attempts initiated by common scripting interpreters (node.exe, python.exe, powershell.exe) in non-standard paths or correlated with recent external network connections. It is designed to identify potential credential theft or data staging using clipboard interaction methods often employed by malware.
Detects camera or microphone access events triggered by Chrome browser processes associated with AI agent contexts (e.g., Gemini, assistant, side panels, or extensions) where no user gesture or active video conferencing application is detected. This behavior is indicative of unauthorized or surreptitious media device usage by browser-based AI integrations.
This rule detects suspicious clipboard access attempts initiated by common scripting interpreters (node.exe, python.exe, powershell.exe) in non-standard paths or correlated with recent external network connections. It is designed to identify potential credential theft or data staging using clipboard interaction methods often employed by malware.
This rule detects suspicious clipboard access attempts initiated by common scripting interpreters (node.exe, python.exe, powershell.exe) in non-standard paths or correlated with recent external network connections. It is designed to identify potential credential theft or data staging using clipboard interaction methods often employed by malware.
Detects anomalous clipboard activity where content is repeatedly replaced by cryptocurrency wallet address patterns (Bitcoin or Ethereum) within a short timeframe. This behavior is indicative of clipboard hijacking (clipjacking), a technique used by malware like EggJagger to substitute legitimate payment addresses with attacker-controlled addresses.
This rule detects suspicious clipboard access attempts initiated by common scripting interpreters (node.exe, python.exe, powershell.exe) in non-standard paths or correlated with recent external network connections. It is designed to identify potential credential theft or data staging using clipboard interaction methods often employed by malware.
This rule detects suspicious clipboard access attempts initiated by common scripting interpreters (node.exe, python.exe, powershell.exe) in non-standard paths or correlated with recent external network connections. It is designed to identify potential credential theft or data staging using clipboard interaction methods often employed by malware.
Detects anomalous clipboard activity where content is repeatedly replaced by cryptocurrency wallet address patterns (Bitcoin or Ethereum) within a short timeframe. This behavior is indicative of clipboard hijacking (clipjacking), a technique used by malware like EggJagger to substitute legitimate payment addresses with attacker-controlled addresses.
Detects anomalous clipboard activity where content is repeatedly replaced by cryptocurrency wallet address patterns (Bitcoin or Ethereum) within a short timeframe. This behavior is indicative of clipboard hijacking (clipjacking), a technique used by malware like EggJagger to substitute legitimate payment addresses with attacker-controlled addresses.
Detects anomalous clipboard activity where content is repeatedly replaced by cryptocurrency wallet address patterns (Bitcoin or Ethereum) within a short timeframe. This behavior is indicative of clipboard hijacking (clipjacking), a technique used by malware like EggJagger to substitute legitimate payment addresses with attacker-controlled addresses.
Detects anomalous clipboard activity where content is repeatedly replaced by cryptocurrency wallet address patterns (Bitcoin or Ethereum) within a short timeframe. This behavior is indicative of clipboard hijacking (clipjacking), a technique used by malware like EggJagger to substitute legitimate payment addresses with attacker-controlled addresses.
This rule detects potential web skimmer activity where a user's browser performs a network connection to known payload delivery hosts (e.g., paste.sh or Google Sheets API) followed by a clipboard modification event on the same device within a one-hour window. This behavior is consistent with malicious scripts attempting to replace copied cryptocurrency wallet addresses with an attacker-controlled address.
This rule detects potential web skimmer activity where a user's browser performs a network connection to known payload delivery hosts (e.g., paste.sh or Google Sheets API) followed by a clipboard modification event on the same device within a one-hour window. This behavior is consistent with malicious scripts attempting to replace copied cryptocurrency wallet addresses with an attacker-controlled address.
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