Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects an anomalous volume of file access or synchronization activity on cloud document platforms (Microsoft SharePoint, OneDrive, or Google Drive) that occurs following a high-severity risky sign-in event. The rule specifically flags potential exfiltration patterns such as large volumes of data transfer or numerous file accesses, especially if associated with unmanaged devices or connections to known personal/external file-sharing services.
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 attempts to enumerate or access Windows Credential Manager and vault files, often used by adversaries to extract cached credentials. The rule monitors for execution of vaultcmd.exe, invocation of keymgr.dll via rundll32.exe, and unauthorized access to credential storage paths in AppData by non-system processes.
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.
This rule detects unauthorized access, creation, or modification of Git credential files (.git-credentials, .netrc) by processes other than standard Git credential management utilities. It also monitors command-line activity that references these credential stores to identify potential attempts to exfiltrate or manipulate stored credentials.
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.
Detects common runtime processes (Node.js, npx, Python) often used for Model Context Protocol (MCP) servers accessing sensitive local credential files such as AWS credentials, SSH private keys, or environment files. This behavior is indicative of potential credential harvesting by unauthorized MCP servers in developer environments.
Detects suspicious activity associated with the DarkMe RAT, specifically targeting cryptocurrency wallet data files. The rule correlates file access to known wallet data paths by a hollowed process 'clspack.exe', followed by suspicious outbound network activity originating from that same process, and potentially preceded by WMI-based antivirus enumeration.
Detects potential exfiltration of sensitive DevOps credentials or configuration files (such as AWS credentials, SSH keys, Kubernetes configs, or cryptocurrency wallets) by monitoring for file access events followed by outbound network connections to known exfiltration channels like Slack or specific C2 infrastructure within a 30-minute window.
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.
Detects instances where a process that is not a recognized web browser accesses or enumerates the file storage path of the MetaMask browser extension. This behavior is indicative of unauthorized reconnaissance or credential theft attempt targeting cryptocurrency wallet data stored locally, often performed by malware following successful system compromise.
Detects the Sckit Go implant accessing sensitive local configuration and credential files, including SSH keys, cloud CLI tokens, and package manager credentials. The rule monitors for file read events initiated by processes identified as 'sckit' or processes with specific command line arguments.
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 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.
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 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 anomalous credential access behavior by identifying instances where a compromised explorer.exe process (injected with the Kothamine payload DLL MicrosoftEdgeUpdateCore.dll) accesses browser cookie stores and gaming credential files in quick succession.
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