Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network connections to Microsoft OneDrive or SharePoint domains from processes that are not standard, known-good applications (e.g., browsers or standard sync clients). This behavior may indicate an adversary leveraging cloud storage for command-and-control (C2) operations or data exfiltration.
Detects anomalous or suspicious behavior from Microsoft 365 Copilot agents, plugins, or sessions. This includes bulk access to files containing sensitive keywords, unauthorized export or sharing of sensitivity-labeled documents, and high-volume Microsoft Graph API read activity targeting sensitive paths in SharePoint or OneDrive.
Detects the WinSCP utility initiating an outbound network connection to port 22 (SFTP/SCP). This behavior is often associated with post-compromise activity where adversaries use legitimate file transfer tools to exfiltrate data to attacker-controlled infrastructure.
Detects execution of WinSCP.exe followed by network connections to standard SFTP (port 22) or SCP (port 115) ports. This rule aggregates command-line activity and network connection data to identify potential file transfer or exfiltration operations initiated by the WinSCP utility.
Detects suspicious network connections or process activity targeting Discord webhooks or API endpoints, potentially indicating data exfiltration, command and control, or token validation by malicious actors. The rule specifically looks for non-Discord processes making these connections or using suspicious user agents.
This rule detects potential data exfiltration attempts by monitoring for network connections to URLs containing suspicious substrings (bit, onion, .cc, .su) over common web and DNS ports (53, 80, 443, 8080). It flags high-frequency unique connection attempts from a single device, which may indicate command-and-control (C2) traffic or data exfiltration over covert channels.
This rule detects network events where a device attempts to access the Kubernetes API '/api/v1/namespaces/*/secrets' endpoint. This activity could indicate an attempt to enumerate or exfiltrate sensitive information (secrets) stored within Kubernetes, potentially by an attacker who has gained initial access to a pod or compromised a service account.
Detects potential exfiltration of sensitive M365 data via an SSRF vulnerability (CVE-2026-42824). The rule identifies suspicious outbound network requests to Bing's image search service where the 'imgurl' parameter contains external, non-Microsoft URLs, suggesting the service is being used as a proxy to exfiltrate data.
Detects a potential exploitation attempt of CVE-2026-42824, involving a parameter-to-prompt injection in M365 Copilot to extract sensitive data identifiers, followed by an exfiltration attempt via a Bing Search-by-Image SSRF request.
Detects potential financial data exfiltration by monitoring for bulk downloads of files with financial keywords from SaaS/Office365 platforms, and identifies unauthorized processes attempting to access sensitive financial application data files (.qbw, .qbb, etc.) on local systems.
This rule detects activity associated with the malicious 'Search for perplexity ai' browser extension (ID: flkebkiofojicogddingbdmcmkpbplcd). It specifically identifies DNS queries and network connections to the malicious domain 'perplexity-ai.online' initiated by common web browser processes, as well as file system evidence of the extension's presence.
This rule detects outbound network connections to a specific typosquatted domain 'perplexity-ai.online'. This domain is associated with a malicious browser extension designed to intercept and exfiltrate search queries before forwarding them to legitimate search providers.
Detects suspicious child process activity originating from common IDEs or AI language server processes that indicates AWS credential exfiltration. The rule monitors for command-line patterns indicative of credential dumping or exfiltration, such as the use of AWS CLI commands, curl, or npx with the Model Context Protocol (MCP) in conjunction with attempts to access sensitive environment variables or redirect output.
Detects anomalous activity associated with information stealing malware, including unauthorized access to browser credential files (Login Data, Cookies), remote thread injection into browser processes, outbound connections to the Telegram API by non-browser processes, and rapid bulk access to multiple sensitive credential or crypto wallet files.
Detects rapid post-exploitation activity where a developer's workstation, upon executing VS Code (Code.exe), initiates outbound network connections to major cloud service or CI/CD provider APIs (GitHub, AWS, Azure, GCP) within 60 minutes. This behavior is indicative of the Lazarus Group 'Contagious Interview' campaign, where stolen credentials from developer environments are used to pivot into cloud infrastructure or CI/CD pipelines.
Detects unauthorized processes reading AI assistant configuration files (e.g., Claude, Cursor, Gemini, VS Code) followed by an outbound network connection from a common scripting or runtime environment (node, python, bun) within 60 seconds, potentially indicating credential or configuration exfiltration.
Detects exfiltration of password store database files
Detects network communication associated with DcRAT, specifically identifying DNS lookups for the known C2 domain kkxqbh.top or network connections to port 2671 originating from suspicious or specific host processes.
Detects sensitive data exfiltration via git push to remote code repositories
Detects the APT36 Ghazwa spyware (GPSSERV component) performing periodic, continuous exfiltration of GPS coordinates to a specific command-and-control port (18585). The rule identifies suspicious network traffic from non-navigation applications that have requested location permissions, filtering out known legitimate mapping services.
This rule detects activities associated with the VILE ransomware, specifically the creation of file staging artifacts (vile_user_files.zip), execution of associated binaries, and network communication with Gofile.io infrastructure used for exfiltration.
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