Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
956 detections
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Detects network activity associated with the RatHat Android malware, specifically identifying C2 data exfiltration API calls over FRP (FRP/Go Agent) tunnels and WebSocket handshake traffic for command-and-control communication.
Detects the ChainScript RAT agent (executing as node.exe from specific masquerading directory paths) scanning for and enumerating cryptocurrency wallet files, browser-stored wallet extensions, and related sensitive configuration data.
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 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 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 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 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 PowerShell processes using .NET screen capture libraries (System.Windows.Forms/Drawing) to generate image files in common staging directories like Temp or Public folders, which is a common pattern for malicious screen capture exfiltration.
Detects instances where AI developer tools or IDE assistants (e.g., Claude, Copilot, Cursor) execute data collection commands (such as directory traversal or archiving) followed by or concurrent with the bulk access of sensitive files (credentials, configuration files) or personal user data.
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.
Detects a multi-stage, automated attack chain performed by AI-based development agents (e.g., Claude, Copilot, Cursor). The rule correlates process discovery, credential access, file collection (staging), and exfiltration over web services within a tight 15-minute window, identifying potential autonomous exploitation and data exfiltration. Covered T1046, T1552.001, T1078, T1005, T1567
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 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.
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.
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 processes that access multiple categories of sensitive data (browser autofill, cryptocurrency wallets, password manager exports, or system fingerprinting files) within a short time window. This behavior is highly indicative of modular infostealers or data-collection malware conducting 'stacking access' to stage sensitive information for exfiltration.
Detects anomalous file access patterns by Semantic Kernel agent processes attempting to read sensitive host files such as SSH keys, configuration files, and credential stores. This activity is indicative of malicious use of agent file-transfer capabilities, potentially exploiting path traversal vulnerabilities or prompt injection to exfiltrate sensitive data from the host environment into the agent sandbox.
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