Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
711 detections
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Detects unauthorized file operations (Creation, Modification, Rename, Deletion) on sensitive browser-related credential files (e.g., Login Data, Cookies, key4.db) by potentially unauthorized or suspicious processes identified by name.
Detects suspicious execution of Python or shell scripts (bash, zsh, sh) from paths associated with 'openclaw' or 'clawhub' that are interacting with sensitive data files, including browser credential stores (Chrome, Firefox, Edge, Brave), system keychains, and cryptocurrency wallet files.
Detects instances where a Python process is spawned by npm or node and subsequently attempts to access sensitive browser or cloud credential files. This pattern is characteristic of malicious npm packages used for credential theft.
This rule detects instances of the 'node.exe' process accessing file system paths associated with common browser-based cryptocurrency wallet extensions (such as MetaMask, Phantom, Coinbase Wallet, etc.). This behavior is highly suspicious as it indicates a potential attempt to steal local wallet data or seed phrases.
This rule detects when a Node.js process accesses sensitive files associated with cryptocurrency wallets (e.g., MetaMask, Phantom, Coinbase Wallet) or browser extension storage directories. This behavior is highly indicative of information-stealing malware attempting to extract private keys, wallet configuration files, or sensitive browser session data.
Detects file artifacts produced by the PostCSS typosquatting Windows RAT (abdrizak). Covers Chrome credential dump outputs (pwd.txt, chrome_logins_dump.txt), access to Chrome Login Data and Local State files by non-browser processes, and single-instance tracking files (.store, .host) written to the TEMP directory.
Detects instances where processes other than legitimate browser-related binaries access sensitive SQLite database files (Login Data and Cookies) associated with Google Chrome or Microsoft Edge. This activity is a common indicator of credential theft by malicious tools or scripts attempting to extract stored passwords or session cookies.
Detects successful authentication to Atlassian Jira from an anomalous network source (e.g., proxied or unusual geolocation/ASN) following a period of credential inactivity. This activity is consistent with tactics used by the HellCat ransomware group, who leverage credentials harvested by infostealers (such as Raccoon, Redline, StealC, or Lumma) to gain initial unauthorized access to corporate Jira environments.
Detects the LokiBot information stealer by identifying its characteristic aPLib compressed payloads, specific C2 URI patterns, known C2 infrastructure, and credential theft routines targeting applications like 1Password, Keepass, and WinBox.
Detects anomalous post-compromise activity associated with Browser-in-the-Browser (BitB) attacks or general credential theft. Specifically, it monitors for browser processes spawning suspicious child processes (e.g., cmd.exe, powershell.exe, mshta.exe) that are typically used for payload delivery, and unauthorized access to browser-stored credential files (e.g., 'Login Data') by non-browser processes.
Detects instances where processes not associated with standard web browsers (e.g., node.exe) attempt to create, modify, or rename browser-related sensitive files, specifically cookie databases and DPAPI-protected Local State files. Such activity is often indicative of credential and session cookie theft.
Detects unauthorized processes, other than established web browsers, attempting to read, access, or copy sensitive browser data files (such as 'Login Data', 'cookies.sqlite', or 'key4.db') that store user credentials, cookies, and web history.
Detects anomalous activity associated with the 'SmartWindow' browser exploitation technique, specifically: Firefox communicating with the local SmartWindow PoC C2 API on port 8765, Firefox spawning unexpected child processes, or unauthorized processes accessing Firefox's 'places.sqlite' database to harvest browsing history or private session data.
Detects Python processes attempting to read sensitive credential files (Login Data, Cookies, logins.json, key4.db) from Chrome, Firefox, and Edge directories. This behavior is indicative of the InvisibleFerret infostealer, which targets browser-stored credentials on compromised developer workstations.
Detects Python-based processes accessing sensitive local cryptocurrency wallet files and directories, including MetaMask extension storage, Exodus wallet, and Bitcoin wallet files, which are known targets of the InvisibleFerret infostealer.
Detects processes accessing credential store paths across browsers, FTP clients, email, SSH, and IM clients in a pattern consistent with Pony (Fareit/Siplog) modular credential grabber walking well-known AppData credential store locations. The rule specifically looks for non-browser/non-client processes accessing multiple credential-related files in common application data directories.
Detects non-browser processes accessing sensitive browser data files (such as Login Data, Cookies, or key stores) followed by network activity to known suspicious, cryptocurrency, or potential malware-hosting domains. This behavior is indicative of credential theft and exfiltration by information-stealing malware.
Detects the 'Adblock for YouTube' browser extension (specific ID cmedhionkhpnakcndndgjdbohmhepckk) performing suspicious file system operations related to the injection of remotely-fetched scriptlets into the browser's MAIN world. This activity is indicative of an attempt to bypass browser security boundaries to access session cookies, local/session storage, and login form data.
This rule detects potential credential harvesting activity associated with the Hannibal Stealer. It looks for non-standard processes (processes other than the browsers themselves) that access sensitive browser credential stores (like 'Login Data', 'cookies.sqlite', or 'key4.db') and correlate these file access events with the loading of 'bcrypt.dll' or 'CefSharp.BrowsersSubprocess.dll', which are often used for decryption or browser automation/sub-processes during credential theft.
Detects unauthorized access to Chrome and Firefox browser credential (Login Data, logins.json, key4.db) and cookie database files on macOS by non-browser processes, commonly observed in credential theft campaigns like ClickFix.
This rule detects attempts by non-browser processes to access sensitive browser files such as 'Login Data', 'Cookies', 'Web Data', 'logins.json', 'cookies.sqlite', 'formhistory.sqlite', and 'places.sqlite'. These files often contain credentials, session tokens, and browsing history. Legitimate browser processes are excluded from this detection to reduce false positives. This activity could indicate an attempt to steal user credentials or session information.
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