Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
711 detections
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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 access to web browser credential stores (e.g., Login Data, Cookies) by non-browser processes, such as scripting engines (PowerShell, WScript) or common LOLBins (MSBuild, InstallUtil). This behavior is indicative of credential theft or data exfiltration attempts by malicious software, including stealers like PureLog.
Detects instances where a process not associated with standard web browsers accesses, copies, or modifies sensitive browser files such as cookies, local storage, or session tokens. This behavior is highly indicative of information-stealer malware (e.g., Vidar, Lumma, RedLine) attempting to exfiltrate session data for account hijacking.
Detects infostealer malware (e.g., Vidar, Lumma, RedLine) that specifically searches for Claude/Anthropic session cookies, API tokens, and generic browser-based credential storage artifacts.
Detects instances where processes other than standard web browsers attempt to access sensitive browser data files, such as cookies, login data, and browser state files. This behavior is a common indicator of credential theft or browser session hijacking, often performed by stealer malware like OnyxC2.
Detects instances where processes other than standard web browsers attempt to access sensitive browser data files, such as cookies, login data, and browser state files. This behavior is a common indicator of credential theft or browser session hijacking, often performed by stealer malware like OnyxC2.
This rule detects suspicious PowerShell activity associated with the Lightlife RAT, specifically targeting Google Chrome's login data files to steal credentials and performing checks for the presence of cryptocurrency wallets.
Detects instances where processes typically associated with browser-related tasks (smartscreen.exe, ctfmon.exe) load ntdll.dll while another process on the same device is running with browser-specific command-line arguments (e.g., --user-data-dir, --profile-directory). This pattern is often indicative of process injection or credential harvesting attempts where an adversary attempts to interact with or scrape data from active browser sessions.
Detects instances where processes typically associated with browser-related tasks (smartscreen.exe, ctfmon.exe) load ntdll.dll while another process on the same device is running with browser-specific command-line arguments (e.g., --user-data-dir, --profile-directory). This pattern is often indicative of process injection or credential harvesting attempts where an adversary attempts to interact with or scrape data from active browser sessions.
Detects instances where processes typically associated with browser-related tasks (smartscreen.exe, ctfmon.exe) load ntdll.dll while another process on the same device is running with browser-specific command-line arguments (e.g., --user-data-dir, --profile-directory). This pattern is often indicative of process injection or credential harvesting attempts where an adversary attempts to interact with or scrape data from active browser sessions.
Detects instances where processes typically associated with browser-related tasks (smartscreen.exe, ctfmon.exe) load ntdll.dll while another process on the same device is running with browser-specific command-line arguments (e.g., --user-data-dir, --profile-directory). This pattern is often indicative of process injection or credential harvesting attempts where an adversary attempts to interact with or scrape data from active browser sessions.
Detects the execution of 'filemanager.exe' and its subsequent access to sensitive browser credential stores (e.g., 'Login Data', 'cookies.sqlite'), occurring within a short window following a PowerShell-based ClickFix-style attack chain. The rule correlates initial suspicious script execution (often involving hidden windows, obfuscated commands, or web requests) with follow-on credential harvesting behavior on the same host.
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 attempting to read or copy sensitive browser data files (e.g., Cookies, Login Data, Local Storage) often targeted by info-stealing malware such as Vidar, LummaC2, or RedLine. The rule filters out legitimate browser-related processes and adds security context by requiring evidence of unsigned code, execution from suspicious locations (Temp/Downloads), or associated outbound network activity to reduce false positives.
Detects SectopRAT (Arechclient2) .NET RAT binaries deployed via tampered libcef.dll / JetBrains helper DLL sideloading that harvest browser credentials, cookies, credit card data, and files. Tightened to require combined sideload+family+target indicators plus .NET CLR import evidence, avoiding standalone generic strings.
Detects web browser processes (e.g., Chrome, Edge, Firefox) spawned by parent processes that are not typical for web browser execution. This behavior is often associated with malware (such as infostealers) using unconventional process spawning to inject code or perform credential theft.
Detects non-browser and non-messaging processes accessing both browser credential stores (like 'Login Data' or 'Cookies') and messaging application session storage (Slack/Discord LevelDB) in a single session. This pattern is characteristic of credential-stealing malware, such as RevStealer, which targets both saved web browser credentials and application session tokens for exfiltration.
Detects unauthorized processes attempting to open handles to Google Chrome or Microsoft Edge with elevated permissions, specifically accessing thread context (often associated with hardware breakpoints used for process injection or credential extraction techniques).
Detects Node.js or ProfileQuickHost processes performing file operations (read, write, rename) on sensitive browser directories, such as 'Local Extension Settings' or wallet-related folders. This pattern is commonly observed in credential-stealing malware attempting to extract browser-stored secrets or cryptocurrency wallet data.
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.
Detects unauthorized processes attempting to access Discord's local storage (LevelDB) where authentication tokens are stored, followed by a network request to the Discord API user validation endpoint, which is a pattern indicative of token extraction and liveness testing by malware.
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