Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a newly replayed session issuing mailbox searches for invoice, payment, password, security, or confidential terms. This rule is designed to identify suspicious activity indicative of session hijacking or credential compromise, where an attacker uses a replayed session to search for sensitive information within a mailbox or SharePoint.
Detects the execution of cloud CLI tools (aws, az, gsutil) using commands designed for bulk or recursive deletion of data from cloud object storage (S3, Azure Blob, GCS). This activity is commonly associated with destructive attacks, ransomware, or unauthorized data removal.
Detects the execution of cloud CLI tools (aws, az, gsutil) using commands designed for bulk or recursive deletion of data from cloud object storage (S3, Azure Blob, GCS). This activity is commonly associated with destructive attacks, ransomware, or unauthorized data removal.
Detects the HTTPS POST exfiltration enforcing the server-side gate using the actor's custom X-Rise-To-The-Trinny: agree header or X-QT-SR: 14 header, associated with TeamPCP supply chain attacks.
Detects instances where 'node.exe' is copying browser history SQLite databases (Chrome, Edge, Brave) to temporary directories, potentially indicating data exfiltration or staging. This behavior has been observed in supply chain attacks like the 'easy-day-js' incident involving the 'protocal.cjs' backdoor.
This rule detects outbound network connections from a device to a specific remote IP address (62.102.148.212) on a set of suspicious ports (37393, 45839, 38471, 12345, 4444, 5555). This pattern is indicative of potential command and control (C2) communication or data exfiltration to a known malicious endpoint.
Detects the use of rclone, MEGAcmd, or common command-line tools like curl/wget to transfer data to known cloud storage endpoints (mega.nz, gofile.io, anonfiles, pixeldrain) when initiated from non-standard system paths (i.e., not 'C:\Program Files'). This rule aims to identify data exfiltration activities, particularly those associated with the Qilin threat actor's double extortion tactics.
This rule detects outbound network connections from devices to a specific remote IP address (62.102.148.212) on a set of suspicious remote ports (37393, 45839, 38471, 12345, 4444, 5555). This pattern is indicative of potential command and control (C2) communication or data exfiltration to a known malicious endpoint.
This rule monitors network, proxy, and DNS traffic for connections to the domain 'perplexity-ai.online'. It identifies potentially suspicious activity by aggregating requests and distinguishing between general outbound traffic and traffic to specific endpoints, such as search queries that may indicate data exfiltration or reconnaissance.
Detects anomalous network activity originating from Firefox (firefox.exe). The rule flags connections to port 8765 (associated with specific browser-based exfiltration PoCs) and any outbound connection on non-standard ports (excluding common browser ports: 80, 443, 8080, 8443, 8888, 53) directed to public IP addresses.
Detects outbound network traffic associated with Djinn Stealer malware beaconing to a hardcoded C2 IP address (96.126.130.126) on port 58942. The detection specifically monitors for HTTP POST requests containing the malicious User-Agent 'telemetry-client/1.0' and 'application/octet-stream' content-type, which are characteristic of this stealer's exfiltration activity.
This rule detects potential command-and-control (C2) activity or data exfiltration by monitoring for first-time DNS resolution of known typosquatted domains targeting 'Perplexity AI', followed by persistent outbound network connections from common web browsers to the same domain family.
Detects the execution of known cloud storage synchronization and transfer tools (rclone, MEGA) often used by adversaries to exfiltrate data from an endpoint to unauthorized cloud storage providers. The rule specifically flags these tools when they are not running from their standard installation directories or are not digitally signed by verified publishers.
This rule detects potential leakage of HTTP Authorization headers (including 'Authorization', 'Basic', 'Bearer', 'Digest', and 'X-API-Key') over FTP (port 21) within network traffic. This could indicate a misconfiguration or an attempt to exfiltrate credentials or sensitive API keys in an unencrypted manner.
Detects the execution of pg_dump or pg_restore initiated by Splunk processes with unexpected remote hosts or custom directories. This behavior is indicative of CVE-2026-20253 exploitation, where an unauthenticated attacker can abuse the PostgreSQL Sidecar Service to achieve remote code execution.
Detects outbound email from an organizational mailbox to a common consumer email provider with multiple or large attachments. This could indicate data exfiltration or unauthorized transfer of sensitive information.
Targets mailbox export naming and immediate use of cloud transfer tools such as rclone, WinSCP, Dropbox, or OneDrive. The UDM rule retains principal and target context for correlation.
This rule detects the exfiltration of sensitive developer tokens (specifically .npmrc or .pypirc files) to public paste sites like Pastebin or GitHub Gists. It correlates network events where a process attempts to connect to these sites with file access events on the specified token files by the same process.
Identifies a backdoored model's payload executing post-deserialization to read developer secrets (SSH keys, AWS credentials, NPM tokens) and exfiltrate them.
Detects browser connections to the Bing Search by Image endpoint, which can be exploited as a Server-Side Request Forgery (SSRF) proxy to bypass Content Security Policies (CSP) and exfiltrate data, as seen in the SearchLeak attack. The rule specifically looks for connections to 'bing.com/images/searchbyimage' that also include the 'imgurl=' or 'imgurl%3d' parameter, indicating an attempt to use the server-side fetch functionality.
Correlates the completion of the OpenClaw theft routine with a network connection to Discord Webhooks to notify the threat actor. Specifically, it looks for network connections to discord.com/api/webhooks initiated by 'python.exe'.
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