Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects potential arbitrary file download using a Microsoft Office application
Detects network connections to known SideCopy/ReverseRAT command-and-control infrastructure, including a static C2 IP address and two C2/hosting domains (matched exactly and as proper subdomains to avoid substring false positives).
This rule detects malicious activity by monitoring for specific known indicators, including hashes of malicious files (ProcessRollup2), network connections to known C2 infrastructure (NetworkConnectIP4), and URL clicks (UrlClick) associated with malicious domains or paths. It acts as a multi-stage indicator correlation rule to identify execution or communication with known threats.
Detects a potential ClickFix social engineering attack pattern where a user manually launches a script interpreter (e.g., PowerShell, cmd, mshta) from Windows Explorer followed within 30 minutes by the execution of 'rnpkeys.exe', a known indicator in installer side-load chains.
Detects anomalous network traffic patterns from 'rnpkeys.exe', a known loader associated with the Sauron malware, communicating with predefined command-and-control (C2) domains or over HTTPS. The rule identifies high volumes of short-lived, frequent connections indicative of fragmented exfiltration (e.g., screenshots) blended into regular beaconing activity.
Detects the Sauron Loader execution chain, which involves a specific process (rnpkeys.exe, rnp.dll, or tdwp.dll) performing a network request (beacon), followed by the creation of a new file (executable, script, or library), and the subsequent execution of that same file. This pattern is characteristic of operator-issued download-and-run tasking.
Detects the execution chain of the Sauron Loader malware. The rule identifies the side-loading of 'rnp.dll' by 'rnpkeys.exe' originating from the 'C:\ProgramData\keyroll' directory, followed by the loading of 'tdwp.dll' which facilitates in-memory decryption and execution. Persistence is confirmed by the creation or update of a scheduled task named 'keyroll'.
Detects the creation or modification of a scheduled task utilizing 'tdwp.dll' and containing the 'keyroll' argument in the command line. This pattern is indicative of a specific persistent mechanism often associated with unauthorized activity or potential malware.
Detects known Sauron Loader MSI installer/DLL samples by SHA-256 or the rnpkeys.exe/rnp.dll/tdwp.dll side-load pairing referenced together in a file
This rule detects potential privilege escalation exploiting a dangling COM object registration (CLSID {E9F83CF2-E0C0-4CA7-AF01-E90C70BEF496}). It monitors for a non-SYSTEM user creating a DLL within the 'CrossDevice' ProgramData folder, followed by a scheduled task trigger, and subsequently detects 'dllhost.exe' running as SYSTEM loading that specific malicious DLL, indicating successful execution of unauthorized code with elevated privileges.
This rule detects potential browser-based credential and session theft by monitoring for a process that accesses multiple sensitive web browser artifacts (cookies, local state, session storage) across several user profiles in a short timeframe. It correlates this activity with the subsequent creation of a compressed archive in a temporary directory followed by an outbound network connection, indicating a multi-stage exfiltration workflow.
This rule detects potential browser-based credential and session theft by monitoring for a process that accesses multiple sensitive web browser artifacts (cookies, local state, session storage) across several user profiles in a short timeframe. It correlates this activity with the subsequent creation of a compressed archive in a temporary directory followed by an outbound network connection, indicating a multi-stage exfiltration workflow.
This rule detects a multi-stage attack chain where a device shows signs of credential theft (accessing browser credential stores or cookies) followed closely by a successful cloud authentication from that same user using a device identifier not previously observed in the last 30 days.
This rule detects non-browser processes that simultaneously access a web browser's 'Local State' file and the Windows DPAPI master key storage directory. This behavior is a common precursor to credential dumping, as adversaries must decrypt browser-protected secrets (passwords and cookies) using DPAPI keys stored in the user's profile.
Detects a potential post-compromise lateral movement sequence where a host, previously identified as accessing sensitive browser credential files by an unauthorized process, subsequently initiates RDP or WinRM connections to other internal hosts using an account not previously observed performing interactive logons on that source host.
Detects instances where a suspicious PowerShell, mshta, or pwsh command, typically involving download or obfuscation patterns, is launched as a child process of Windows Explorer within two minutes of a modification to the Explorer RunMRU registry key. This behavior is indicative of an adversary attempting to achieve execution, often following user interaction or persistence triggers.
Detects unauthorized access or modification attempts to common web browser credential storage files (such as 'Login Data' or 'key4.db') by processes other than standard, trusted web browsers (e.g., Chrome, Edge, Firefox). This behavior is indicative of credential harvesting, where an adversary attempts to steal saved login information from browser data stores.
This rule detects non-browser processes that simultaneously access a web browser's 'Local State' file and the Windows DPAPI master key storage directory. This behavior is a common precursor to credential dumping, as adversaries must decrypt browser-protected secrets (passwords and cookies) using DPAPI keys stored in the user's profile.
This rule detects potential account compromise by identifying 'impossible travel' scenarios where successful logins for the same user occur from different geolocations within a short timeframe (less than 1 hour), specifically when at least one authentication event uses a refresh or session token rather than interactive MFA. It correlates these suspicious logins with previous endpoint infostealer detections on the same device within the last 72 hours, indicating that the token may have been stolen by malware.
Detects unauthorized access to sensitive Chromium-based browser files such as 'Login Data' (password database) or 'Local State' (encryption keys) by processes other than standard web browsers (Chrome, Edge, Brave, Firefox). The rule also elevates risk if the access is followed by the execution of known data-handling tools like sqlite, python, or powershell, which are frequently used by information stealers to parse and exfiltrate browser-stored credentials.
Detects unauthorized access by a non-browser process to Chromium-based 'Cookies' SQLite database files, which are used by browsers like Chrome, Edge, and Brave. This behavior is a strong indicator of credential theft or session hijacking, as attackers target these files to extract session cookies and bypass MFA for cloud services.
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