Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
711 detections
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Detects a single process accessing files across three or more distinct cryptocurrency wallet application directories within a one-hour window. This behavior is highly anomalous for legitimate applications and is characteristic of information-stealing malware, such as RevStealer, which targets stored credentials and wallet files.
Detects non-browser processes accessing sensitive browser credential stores (e.g., Login Data, Cookies) and cryptocurrency wallet files within a short time window. This pattern is characteristic of infostealer malware like Vidar, which grabs browser and wallet data for exfiltration.
Detects web browser processes (Chrome, Edge, Firefox, Brave, Opera, IE) being spawned by a parent process that is not part of the standard, trusted application launch lineage. This pattern is commonly observed in credential-stealing malware like Vidar Stealer, which invokes browsers to access and exfiltrate stored browser data.
Detects instances where common browser credential and cookie storage files (Login Data, Cookies) for Google Chrome or Microsoft Edge are accessed by non-browser processes such as PowerShell, csc.exe, or the Search Indexer. This behavior is highly indicative of credential theft or session hijacking attempts.
Detects non-browser processes performing file operations (create, modify, rename) on known web browser credential storage, configuration files, and cryptocurrency wallet artifacts in a short duration. This behavior is indicative of credential harvesting or information stealing activity often associated with malware like Vidar, which stages these sensitive files for exfiltration.
This rule detects unauthorized processes attempting to access 'Login Data' files associated with Google Chrome or Microsoft Edge web browsers. Legitimate browser processes are excluded, so any external process attempting to read these files is potentially malicious, indicating an attempt to dump stored browser credentials.
Detects unauthorized processes attempting to access sensitive Mozilla Firefox profile files such as cookies.sqlite, places.sqlite, and permissions.sqlite. These files contain sensitive information including cookies, history, and permission settings. Access by processes other than the legitimate Firefox executable may indicate credential theft, data exfiltration, or reconnaissance activities.
Detects unauthorized processes attempting to access sensitive browser files, including Login Data (passwords) and Network/Cookies databases for Chrome, Edge, and Firefox. These files are primary targets for credential dumping and session hijacking.
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 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 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 access to sensitive browser credential storage files (Login Data, key4.db, logins.json) by unauthorized processes. This behavior is indicative of credential theft, where an adversary attempts to extract stored passwords from browser profiles.
Detects access to sensitive browser credential storage files (Login Data, key4.db, logins.json) by unauthorized processes. This behavior is indicative of credential theft, where an adversary attempts to extract stored passwords from browser profiles.
Detects post-infection data harvesting behavior associated with PureLogs Stealer. The rule monitors specific LOLBins (.NET binaries) and suspected masqueraded payloads (e.g., syscall.exe) as they attempt to access browser credential, cookie, or web data files from Google Chrome, Microsoft Edge, and Mozilla Firefox. It also tracks the creation of these suspicious processes when invoked by scripting interpreters like PowerShell, wscript, or cscript.
Detects unauthorized processes (non-browser applications) creating, modifying, or renaming sensitive browser data files such as Login Data, Cookies, or local state files within standard browser profile directories. This activity is indicative of credential harvesting or session hijacking attempts by malicious software.
This rule detects potential credential theft by monitoring for file access (creation, modification, or renaming) to common web browser sensitive files (Login Data or Cookies) followed by an outbound network connection from the same process within a 10-minute window. This behavior often indicates an adversary attempting to exfiltrate browser-stored credentials or session cookies.
Detects unauthorized processes attempting to modify, create, or rename sensitive browser files (Login Data or Cookies) belonging to Google Chrome or Microsoft Edge. The rule filters out known browser processes and looks for suspicious initiating processes characterized by unsigned code or execution from common staging areas like Temp folders.
Detects PamStealer-style browser credential theft on macOS. The detection logic identifies the forced termination of browser helper processes using 'pkill' (which releases SQLite file locks) followed by the execution of a 'KcHelper' binary that uses specific environment markers (e.g., KC_PASS) to bypass keychain authorization prompts and steal stored browser credentials.
Detects PamStealer-style browser credential theft on macOS. The detection logic identifies the forced termination of browser helper processes using 'pkill' (which releases SQLite file locks) followed by the execution of a 'KcHelper' binary that uses specific environment markers (e.g., KC_PASS) to bypass keychain authorization prompts and steal stored browser credentials.
Detects PamStealer-style browser credential theft on macOS. The detection logic identifies the forced termination of browser helper processes using 'pkill' (which releases SQLite file locks) followed by the execution of a 'KcHelper' binary that uses specific environment markers (e.g., KC_PASS) to bypass keychain authorization prompts and steal stored browser credentials.
Detects PamStealer-style browser credential theft on macOS. The detection logic identifies the forced termination of browser helper processes using 'pkill' (which releases SQLite file locks) followed by the execution of a 'KcHelper' binary that uses specific environment markers (e.g., KC_PASS) to bypass keychain authorization prompts and steal stored browser credentials.
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