Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
711 detections
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Detects the behavior of LunexStealer targeting cryptocurrency wallets. The rule monitors for the enumeration of known crypto wallet files and browser-stored extension data, followed closely by the creation of a 'wallet.zip' archive by the same process, which is indicative of staged data collection for exfiltration.
Detects the behavior of LunexStealer targeting cryptocurrency wallets. The rule monitors for the enumeration of known crypto wallet files and browser-stored extension data, followed closely by the creation of a 'wallet.zip' archive by the same process, which is indicative of staged data collection for exfiltration.
Detects the loading of the 'WbElevation.dll' module associated with SectopRAT, followed by suspicious access to browser, email, or cryptocurrency wallet credential stores within a 10-minute window on the same device.
Detects a specific attack chain attributed to ClosedQuorum, involving LSASS memory dumping, subsequent access to browser-based credential stores or cryptocurrency wallet files, and finally staging the stolen data in C:\Windows\Temp\ within a short time window.
Detects unauthorized processes (excluding firefox.exe and explorer.exe) accessing or modifying sensitive Firefox browser profile files, specifically places.sqlite (history/bookmarks) and cookies.sqlite (session cookies). This activity is often indicative of credential or session hijacking attempts by malware or malicious scripts.
This rule detects the suspicious copying of a Chromium-based browser 'Web Data' file (which stores sensitive information like saved passwords, credit cards, or address data) to a temporary file, followed by an outbound network connection to a specific exfiltration endpoint pattern within a 30-minute window.
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 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.
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 potential infostealer activity where an unsigned or non-system process accesses the Windows DPAPI master key store followed by access to common browser credential and cookie storage files within a 10-minute window. This behavior is indicative of malware attempting to decrypt and exfiltrate saved browser passwords and cookies.
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.
Detects unauthorized access to common browser credential storage files (Login Data, Cookies, Web Data, Local State) by processes other than standard web browsers. This rule identifies potentially malicious activity by filtering for rare or unsigned binaries executing from common staging directories (Temp, Downloads) or accessing browser files shortly after the process launch, which is a common behavior pattern for info-stealer malware.
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 unauthorized processes (other than known browsers like Chrome, Edge, or Firefox) attempting to access sensitive browser files such as 'Login Data', 'Cookies', or 'Web Data'. This behavior is commonly associated with credential stealing or browser session hijacking.
This rule detects access (creation, modification, renaming, or reading) to browser-specific sensitive credential files ('Login Data' or 'Local State') located in the user data directories of Chrome, Edge, or Brave. It filters out legitimate activity by ensuring the initiating process is not the browser's own application executable, which is indicative of credential theft or dumping by unauthorized tools.
Detects unauthorized processes attempting to read or modify Discord's local storage leveldb files, which store user authentication tokens, and correlates this with suspicious network activity to Discord's API or the presence of token-stealing keywords in command-line arguments.
Detects instances where browser processes (Chrome or Edge) are spawned by smartscreen.exe and subsequently access sensitive browser storage files such as Login Data, Cookies, or Local State. This pattern is indicative of a process injection or masquerading chain used to extract credentials or session data.
Detects unauthorized processes reading Chromium or Firefox cookie and login stores that specifically reference Claude.ai or Anthropic domains. This rule is designed to identify infostealer malware attempting to hijack active Claude sessions by analyzing process file access and command-line arguments, filtered against known-legitimate security, sync, and development tools. The detection logic mandates corroborating evidence of suspicious execution paths or subsequent outbound network activity.
Detects unauthorized processes reading Chromium or Firefox cookie and login stores that specifically reference Claude.ai or Anthropic domains. This rule is designed to identify infostealer malware attempting to hijack active Claude sessions by analyzing process file access and command-line arguments, filtered against known-legitimate security, sync, and development tools. The detection logic mandates corroborating evidence of suspicious execution paths or subsequent outbound network activity.
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