
Duo Tech
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2,481 detections
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Detects execution of common shell interpreters initiated by or containing references to ff-agent.
Detects Node.js processes generating text or log files containing diagnostic markers related to network activity monitoring, such as 'Network Connection Dump Snapshot' or 'Monitoring active egress sockets'. This behavior is characteristic of custom tool execution used for network discovery and data collection on a host.
This rule detects the installation of a specific potentially malicious NPM package ('mouse5212-super-formatter') via the npm command-line interface, followed by the execution of a node process initiated by the npm command within a 5-minute window. This behavior is indicative of a software supply chain attack where a developer or automated process is tricked into installing a backdoored dependency that subsequently executes malicious code.
Detects repeated outbound HTTPS connections to api.github.com from a single source within a 60-second window. This pattern may indicate automated data exfiltration using the GitHub Contents API, as attackers often leverage legitimate code repository services to mask data exfiltration traffic.
Detects unauthorized attempts to modify or interact with the macOS Transparency, Consent, and Control (TCC) database. This includes direct file system modifications by non-system processes, sqlite-based manipulation of the TCC database, or the usage of 'tccutil' to reset permissions. These behaviors are often indicative of malware attempting to silently elevate privileges or grant itself Full Disk Access to sensitive user data.
This rule monitors for direct execution of Node.js binaries (node.exe or node) where the target script or binary is located within a 'node_modules' directory. By excluding standard file extensions (.js, .mjs, .cjs, .json) and common npm installation command lines, the rule aims to identify potentially malicious or non-standard binaries being executed in a context often used by adversaries for persistence or lateral movement within software dependency environments.
This rule detects potential ransomware activity or bulk file manipulation by monitoring for a high volume of file write, rename, or creation events performed by a single process within a one-minute window. It calculates the frequency and variety of unique files touched to identify potentially malicious automated encryption or data destruction behavior.
This rule monitors outbound HTTP POST requests and flags URLs that contain strings indicative of sensitive personal identifiable information (PII) such as national IDs, passports, or financial data including credit cards and bank account details. This is often an indicator of potential data exfiltration where sensitive information is being transmitted via URL parameters.
Detects specific user-initiated HTTP requests that contain suspicious prompts, such as requests for lists of names or email formats. This behavior is often associated with reconnaissance or data collection activities, potentially related to social engineering or phishing preparations.
Detects unauthenticated HTTP POST requests targeting the /api/v1/validate/code endpoint in Langflow, which is indicative of an exploitation attempt associated with CVE-2025-3248.
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