Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects multiple HTTP POST requests to a specific credential-related API path (/api/credentials) directed at an external IP address (95.163.153.80) on a non-standard port (8133). This pattern is indicative of potential automated credential exfiltration or brute-force activity.
This rule monitors all process creation events on macOS endpoints. By tracking both 'ProcessCreate' and 'ProcessRollup2' event types where the platform is identified as macOS, it provides a foundation for auditing execution activity across the system.
Detects HTTP GET requests associated with the delivery of AMOS (Atomic macOS Stealer) payloads. This rule monitors for specific URL patterns (force=1) used by stager scripts to fetch Mach-O binary payloads from known malicious infrastructure or matching known malicious file hashes.
Detects HTTP GET requests associated with the delivery of AMOS (Atomic macOS Stealer) payloads. This rule monitors for specific URL patterns (force=1) used by stager scripts to fetch Mach-O binary payloads from known malicious infrastructure or matching known malicious file hashes.
Detects the presence of injected 'ganalytics-tracker-js' script on compromised webpages and the subsequent browser-initiated requests for the malicious 't.js' script. This is associated with ClickFix attack campaigns where users are socially engineered into executing malicious code.
Detects HTTP POST requests to a /collect endpoint containing visitorId and stage parameters, which is characteristic of ClickFix-style fake bot-protection overlays used to trick users into executing malicious scripts under the guise of security verification.
Detects a pattern of frequent (6 or more per minute) small HTTP POST requests (up to 16KB) targeting specific sensitive API or internal URI paths. The detection logic also filters for traffic originating from a specific Microsoft Edge browser user agent string on Windows 64-bit systems, which may indicate automated data exfiltration, beaconing, or communication with a Command and Control (C2) server.
Detects the execution of rnpkeys.exe dropped by an MSI installer (msiexec.exe) from the C:\ProgramData\keyroll directory. The rule specifically monitors for side-loading of the rnp.dll or tdwp.dll libraries by rnpkeys.exe, a technique associated with the Sauron loader.
Detects anomalous network traffic patterns from the legitimate 'rnpkeys.exe' process when side-loaded from the 'ProgramData\keyroll' directory. The rule specifically looks for a sequence of connections matching initial C2 registration (TLV 0x01) followed by consistent, periodic beaconing (TLV 0x02) at an interval indicating automated task polling, rather than single-connection legitimate activity.
This rule detects the creation of Windows Scheduled Tasks by monitoring for Event ID 4698 (Windows Security Log) or Sysmon Event ID 1 (Process Creation) that involves task name parameters. Adversaries frequently use the Windows Task Scheduler to establish persistence, execute malicious code, or run tasks at system startup.
This rule monitors the rnpkeys.exe process for suspicious environmental reconnaissance activity, specifically targeting locale/keyboard-layout registry queries or domain enumeration via command-line tools. These activities are identified as occurring in a strict temporal sequence (pre-registration check) shortly before an initial outbound network connection, consistent with the behavior of the Sauron loader malware.
This rule detects two-stage suspicious network activity: first, a POST request to a known Sauron Loader C2 endpoint ('/api/t'), and second, a subsequent TLS connection to 'ipinfo.io' used for geolocation. The correlation is achieved using flowbits to track the infection lifecycle.
Detects a specific staging and execution pattern where a payload file with a 6-16 character random filename is written to a temporary directory and subsequently executed by a common Windows handler process (such as rundll32, regsvr32, or powershell) within a 60-second window. This behavior is indicative of the Sauron Loader task-execution workflow.
Detects DNS lookup queries and HTTP POST beaconing attempts directed at known Sauron Loader C2 fallback infrastructure. The rule tracks specific domains associated with the malware's encrypted registration and command-and-control behavior.
Detects a specific staging and execution pattern where a payload file with a 6-16 character random filename is written to a temporary directory and subsequently executed by a common Windows handler process (such as rundll32, regsvr32, or powershell) within a 60-second window. This behavior is indicative of the Sauron Loader task-execution workflow.
Detects network beaconing activity associated with the Sauron Loader malware. The rule monitors HTTPS traffic for specific domain patterns and suspicious TLV (Type-Length-Value) protocol structures, as well as recurring beaconing cadence to identified C2 infrastructure.
Detects network beaconing activity associated with AMOS Stealer command-and-control communication. The rule identifies HTTP POST requests to the '/api/t' path with a JSON content type over port 8133, using a threshold to identify sustained communication patterns.
Detects outbound HTTP requests to a known domain associated with 'ClickFix' campaign activity. The rule identifies attempts to fetch a specific JavaScript tracker file, which is often used in social engineering campaigns to trick users into executing malicious commands in their shell or console.
Detects the creation of a scheduled task named 'keyroll', which is associated with the persistence mechanism of Sauron Loader. The task is used to launch a DLL side-loading chain involving rnpkeys.exe and tdwp.dll.
Detects macOS Terminal commands that involve decoding a base64 string and piping the output directly to bash. This behavior is characteristic of 'ClickFix' social engineering campaigns, where users are lured into pasting a malicious command into their terminal, often under the guise of fake 'reCAPTCHA' or 'bot-verification' instructions.
Detects known samples of the Atomic Stealer (AMOS) malware on macOS, specifically those associated with the Macfinger/ClickFix campaign, by matching their SHA256 hashes.
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