Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
40,063 detections
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Detects instances where suspicious or potentially non-standard processes (e.g., winappx.exe, MsCache.exe) or Python scripts running from specific ProgramData subdirectories spawn cmd.exe with a /c command line argument. This pattern is often indicative of persistence mechanisms, lateral movement, or malicious script execution.
Detects the use of Dumpert process dumper, which dumps the lsass.exe process memory
Detects network connections to known remote tunneling and relay services (e.g., ngrok, Cloudflare Tunnel) initiated by commonly abused LOLBins or processes running from user-writable directories. This behavior is often indicative of an adversary establishing persistent remote access or egress channels for command-and-control communication.
This rule monitors network connections and DNS query responses for activity associated with known suspicious domains: 'getmacouscloud.com', 'ferncore13.com', and 'grove-89.com'. It identifies communication attempts (successes, failures, or DNS lookups) between endpoints and these domains, which is indicative of potential command and control (C2) activity.
This rule monitors network connections and DNS query responses for activity associated with known suspicious domains: 'getmacouscloud.com', 'ferncore13.com', and 'grove-89.com'. It identifies communication attempts (successes, failures, or DNS lookups) between endpoints and these domains, which is indicative of potential command and control (C2) activity.
Detects the execution of common discovery commands like 'whoami' combined with system information gathering commands (tasklist, ver, uname) when initiated by an application named 'pc-app.exe'. This pattern is frequently observed during the reconnaissance phase of an attack.
Detects the execution of Certipy, an open-source tool used for enumerating and exploiting Active Directory Certificate Services (AD CS). The rule monitors for common command-line arguments used during various stages of AD CS attack lifecycle, including finding misconfigurations, requesting certificates, relaying, and template exploitation.
This rule monitors for a multi-stage attack pattern involving two potential indicators: first, it identifies phishing emails containing a 'Google Docs' link combined with an attachment named 'API Logic Flaw'. Second, it detects browser activity involving the paste of JavaScript code or suspicious browser clipboard activity, which may indicate an attacker attempting to execute malicious scripts directly in the user's browser context.
Detects network connections from common web browsers to domains associated with the BragJack threat actor infrastructure. This activity potentially indicates an end-user accessing malicious sites used for credential harvesting, malware delivery, or C2 communication.
Detects network connections from common web browsers to domains associated with the BragJack threat actor infrastructure. This activity potentially indicates an end-user accessing malicious sites used for credential harvesting, malware delivery, or C2 communication.
Detects network connections from common web browsers to domains associated with the BragJack threat actor infrastructure. This activity potentially indicates an end-user accessing malicious sites used for credential harvesting, malware delivery, or C2 communication.
Detects the installation or modification of a browser extension (manifest.json file creation) followed by network activity from the browser to trusted AI assistant domains within a five-minute window. This behavior is indicative of potentially malicious browser extensions or content scripts being introduced to intercept or manipulate user interaction with AI services.
Detects the installation or modification of a browser extension (manifest.json file creation) followed by network activity from the browser to trusted AI assistant domains within a five-minute window. This behavior is indicative of potentially malicious browser extensions or content scripts being introduced to intercept or manipulate user interaction with AI services.
Detects the 'Comet.exe' process, associated with the Perplexity Comet AI agent, accessing sensitive system files or configuration directories outside its expected scope. This pattern of file interaction is characteristic of unauthorized data collection or exfiltration attempts, specifically linked to the BragJack threat activity.
Detects the 'Comet.exe' process, associated with the Perplexity Comet AI agent, accessing sensitive system files or configuration directories outside its expected scope. This pattern of file interaction is characteristic of unauthorized data collection or exfiltration attempts, specifically linked to the BragJack threat activity.
Detects the 'Comet.exe' process, associated with the Perplexity Comet AI agent, accessing sensitive system files or configuration directories outside its expected scope. This pattern of file interaction is characteristic of unauthorized data collection or exfiltration attempts, specifically linked to the BragJack threat activity.
Detects browser activity where a user agent navigates to common webmail services (Gmail, Outlook) followed quickly by network traffic to potentially malicious external infrastructure or non-standard endpoints, suggesting unauthorized email content exfiltration.
Detects browser activity where a user agent navigates to common webmail services (Gmail, Outlook) followed quickly by network traffic to potentially malicious external infrastructure or non-standard endpoints, suggesting unauthorized email content exfiltration.
Detects successful network connections to a specific domain (buildersouthwestlondon.com) where the request URL path includes the string '/cloud/'. This pattern is often indicative of downloading secondary payloads, command-and-control communication, or accessing malicious infrastructure related to a specific campaign.
This rule detects DNS queries or network connections originating from endpoints to a list of known malicious domains associated with various malware families (ClearFake, IClickFix, AMOS, Vidar, etc.). This helps identify potential C2 communication, malicious payload delivery, or infrastructure interaction.
Detects the suspicious registration of a Cloud Filter provider callback using staging paths and naming conventions associated with the ShieldCrash (CVE-2026-69414) exploit. The rule monitors DeviceEvents for cloud provider activity that originates from unsigned or untrusted binaries, excluding known-legitimate cloud synchronization clients.
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