Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
40,063 detections
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Detects the execution of csc.exe (C# compiler) from non-standard directories or when compiling source files located in user-writable paths like Temp or AppData. This behavior is indicative of on-host code compilation used by attackers to bypass static antivirus detection by delivering and compiling malicious payloads on the fly.
Detects the use of bitsadmin.exe to initiate file transfers from remote URLs to sensitive or writable system directories, or the use of /SetNotifyCmdLine to define a command to execute upon job completion. These techniques are often used by adversaries to download payloads or establish persistence via BITS jobs.
Detects suspicious execution patterns of rundll32.exe, including usage for JavaScript execution, control panel file abuse, potential credential dumping using comsvcs.dll, and execution from common user-writable temporary directories.
Detects the use of WMIC to invoke XSL files or perform suspicious process creation commands, a technique often used for proxy execution or script-based attacks.
Detects execution of the Microsoft Connection Manager Profile Installer (cmstp.exe) with suspicious command-line parameters (using remote INF files via UNC or HTTP) or when it spawns unexpected child processes, both of which are indicative of potential bypass of User Account Control (UAC) or security controls.
Detects the execution of diskshadow.exe with the /s (scripted) flag, followed by file access to sensitive Windows credential files (ntds.dit or SAM). This behavior indicates the abuse of the Windows Diskshadow utility to create a volume shadow copy for the purpose of offline credential exfiltration.
Detects the execution of diskshadow.exe with the /s (scripted) flag, followed by file access to sensitive Windows credential files (ntds.dit or SAM). This behavior indicates the abuse of the Windows Diskshadow utility to create a volume shadow copy for the purpose of offline credential exfiltration.
Detects malicious AI assistant links delivered via spearphishing emails that contain pre-populated prompt injection query parameters. The rule correlates the clicking of a high-signal URL (containing parameters like prompt, system, or lengthy search queries with malicious keywords) originating from an email with a subsequent active session to the same AI service within 5 minutes, confirming potential weaponized AI assistant session manipulation. Covers T1566.002, T1204.001
Detects the on-disk presence of a malicious Firefox browser extension, 'pdf-para-texto@extensao.local', used for credential or data harvesting. The rule monitors for the creation of its manifest file or XPI package in specific directories, indicating the staging or installation of the malicious extension.
Detects network communication to specific Gusercontent endpoints consistent with malicious browser extensions exfiltrating captured session tokens or cookies. The rule monitors for POST requests containing parameters like leadId, email, and data, often used to transmit stolen authentication material.
Detects network communication to a suspicious staging domain (pdf.gusercontent.com) that mimics legitimate services. This traffic is associated with the 'onInstalled' event handler of a malicious browser extension, often used to signal a successful infection or initiate secondary payload delivery.
Detects network communication to a suspicious staging domain (pdf.gusercontent.com) that mimics legitimate services. This traffic is associated with the 'onInstalled' event handler of a malicious browser extension, often used to signal a successful infection or initiate secondary payload delivery.
Detects network communication to a suspicious staging domain (pdf.gusercontent.com) that mimics legitimate services. This traffic is associated with the 'onInstalled' event handler of a malicious browser extension, often used to signal a successful infection or initiate secondary payload delivery.
Detects network communication to specific Gusercontent endpoints consistent with malicious browser extensions exfiltrating captured session tokens or cookies. The rule monitors for POST requests containing parameters like leadId, email, and data, often used to transmit stolen authentication material.
Detects a suspicious sequence of network events consistent with a credential-harvesting campaign abusing the FedCM (Federated Credential Management) API. The rule identifies the initial fetch of a malicious loader script from a lookalike domain (pdf.gusercontent.com), followed closely (within 5 minutes) by a redirect to Google's legitimate 'EmbeddedSetup' sign-in flow containing an email parameter.
Detects an account takeover chain where a device loads a malicious JavaScript component ('load-addon.js') in a browser session, followed by repeated attempts to bypass bot detection mechanisms (targeting Google's 'errors/robot.png') as the payload attempts to force authentication challenges or password resets.
This rule detects the presence of the malicious 'pdf-para-texto@extensao.local' Firefox extension on disk. This extension is known to perform browser-based credential interception by patching the WebAuthn PublicKeyCredential interface at document_start on Google-related domains to facilitate account takeover.
Detects rapid, multi-category reconnaissance activity initiated by AI-agent binaries (e.g., Claude, Cursor, ChatGPT). The rule identifies sessions that perform four or more distinct discovery operations—spanning account, network service, system information, and network configuration discovery—within a short time window, indicating potentially malicious autonomous exploration by an AI agent. Covers T1046, T1087, T1083, T1016
Detects rapid, multi-category reconnaissance activity initiated by AI-agent binaries (e.g., Claude, Cursor, ChatGPT). The rule identifies sessions that perform four or more distinct discovery operations—spanning account, network service, system information, and network configuration discovery—within a short time window, indicating potentially malicious autonomous exploration by an AI agent. Covers T1046, T1087, T1083, T1016
Detects rapid, multi-category reconnaissance activity initiated by AI-agent binaries (e.g., Claude, Cursor, ChatGPT). The rule identifies sessions that perform four or more distinct discovery operations—spanning account, network service, system information, and network configuration discovery—within a short time window, indicating potentially malicious autonomous exploration by an AI agent. Covers T1046, T1087, T1083, T1016
Detects rapid, multi-category reconnaissance activity initiated by AI-agent binaries (e.g., Claude, Cursor, ChatGPT). The rule identifies sessions that perform four or more distinct discovery operations—spanning account, network service, system information, and network configuration discovery—within a short time window, indicating potentially malicious autonomous exploration by an AI agent. Covers T1046, T1087, T1083, T1016
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