Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

1,252 detections

Detects instances where AI-assisted development tools (such as Claude, Codex, Copilot, or Gemini) initiate command-line processes (e.g., shells, interpreters, or network utilities) with arguments indicative of credential access, reconnaissance, or sensitive file interactions.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
1 month ago
003
This rule detects interaction with specific infrastructure identified as deceptive dating applications. It monitors network communication, sign-in attempts, email interactions, and endpoint execution associated with known malicious domains (e.g., archat.us, heyhru.com, sitin.ai), specific IP addresses (38.129.138.244), and unique package identifiers (com.cavalier.nalo, com.qiga.vio). The detection logic spans across DeviceNetworkEvents, EntraIdSignInEvents, EmailUrlInfo, EmailEvents, DeviceEvents, and DeviceProcessEvents to identify exposure to these Indicators of Compromise (IOCs) across both network and endpoint layers.
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F S@Fsdr
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Detections.ai Community
2 months ago
709
This rule monitors for known malicious file hashes, IP addresses, C2 domains, and specific URL markers associated with identified threat activity. It consolidates multiple detection vectors including file activity, process execution, network connections, and DNS queries to identify compromised devices communicating with attacker-controlled infrastructure.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
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.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
004
Comprehensive IOC sweep across endpoint file/process/network telemetry for the full set of known SilkParasite/SpiceRAT/NodeEdgeRAT/NomadRAT/BloodAlchemy infrastructure indicators reported by Hunt.io and Security Affairs: all listed C2/decoy/certificate-hosting IPs, all listed spoofed/infrastructure domains, and known file/certificate hashes (SHA256, SHA1).
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Arnold Chan@slaz
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Hunters
1 month ago
002
Comprehensive IOC sweep across endpoint file/process/network telemetry for the full set of known SilkParasite/SpiceRAT/NodeEdgeRAT/NomadRAT/BloodAlchemy infrastructure indicators reported by Hunt.io and Security Affairs: all listed C2/decoy/certificate-hosting IPs, all listed spoofed/infrastructure domains, and known file/certificate hashes (SHA256, SHA1).
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
002
Comprehensive IOC sweep across endpoint file/process/network telemetry for the full set of known SilkParasite/SpiceRAT/NodeEdgeRAT/NomadRAT/BloodAlchemy infrastructure indicators reported by Hunt.io and Security Affairs: all listed C2/decoy/certificate-hosting IPs, all listed spoofed/infrastructure domains, and known file/certificate hashes (SHA256, SHA1).
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Arnold Chan@slaz
Defender - KQL
1 month ago
002
Detects outbound network connections from devices to specific suspicious domains identified in the detection logic. This rule monitors for connections to 'ns2.asiainfo.it.com' and 'www.wordcheck.info', which may be indicative of malware communication, command and control, or malicious web activity.
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Arnold Chan@slaz
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Hunters
1 month ago
002
Comprehensive IOC sweep across endpoint file/process/network telemetry for the full set of known SilkParasite/SpiceRAT/NodeEdgeRAT/NomadRAT/BloodAlchemy infrastructure indicators reported by Hunt.io and Security Affairs: all listed C2/decoy/certificate-hosting IPs, all listed spoofed/infrastructure domains, and known file/certificate hashes (SHA256, SHA1).
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
Detects outbound network connections from devices to specific suspicious domains identified in the detection logic. This rule monitors for connections to 'ns2.asiainfo.it.com' and 'www.wordcheck.info', which may be indicative of malware communication, command and control, or malicious web activity.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
This rule detects two suspicious indicators related to SloppyRAT activity: an outbound network connection using the legacy Finger protocol (TCP port 79), which can be abused by binaries like 'finger.exe' for payload staging, and DNS queries resolving to the known SloppyRAT staging domain 'finger.linked4x.com'.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
202
This rule monitors network and event logs to detect instances where a single user account, logged into a specific host, initiates connections to two or more distinct, potentially suspicious remote IP addresses. This pattern of multi-destination connection activity may indicate command and control communication, scanning behavior, or data staging.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
This rule detects the execution of the legacy finger.exe utility when spawned by common user-facing applications (e.g., browsers, shells, explorer). The detection specifically looks for instances where the command line includes an '@' character, indicating an attempt to query information from a remote host, while excluding standard localhost queries. This pattern is often associated with reconnaissance activity or enumeration of remote users/systems.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
This rule detects network connections or process command lines associated with known malicious domains, IP addresses, or payload URLs. Additionally, it correlates connections to common public file-sharing platforms or APIs (e.g., Gofile, Telegram) if these events occur on the same device within a 60-minute window of a confirmed malicious infrastructure event, reducing false positives from legitimate uses of shared infrastructure.
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Arnold Chan@slaz
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SlimKQL
2 months ago
8014
This rule monitors for network connections to known command-and-control (C2) IP addresses and the execution or presence of files matching known hashes associated with the 'PhantomC2' threat group or malware family. It correlates data from DeviceNetworkEvents, DeviceFileEvents, and DeviceProcessEvents to identify potential compromise.
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Arnold Chan@slaz
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Hunters
2 months ago
508
Detects network traffic matching a list of known malicious domains and IP addresses observed in CommonSecurityLog events.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
807
Detects the Comet browser process, typically associated with AI-agent operations, accessing sensitive browser profile files (e.g., History, Bookmarks, Login Data, Cookies) followed by outbound network communication within a 15-minute window, excluding known legitimate paths.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
004
Detects activity associated with the 'MovieReaper' threat campaign by identifying known malicious file hashes, command and control (C2) IP addresses, and communication with identified malicious domains. This rule monitors process execution, file operations, and network connections within the campaign's active timeframe.
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Arnold Chan@slaz
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Hunters
1 month ago
003
Detects activity associated with the 'MovieReaper' threat campaign by identifying known malicious file hashes, command and control (C2) IP addresses, and communication with identified malicious domains. This rule monitors process execution, file operations, and network connections within the campaign's active timeframe.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
003
This rule detects activity associated with the 'Ghostcode' threat campaign by monitoring multiple telemetry sources. It identifies connections to known malicious IP addresses and domains, patterns consistent with phishing kit hosting, and specific URL structures used in credential harvesting or payload delivery. The rule correlates sign-in logs, device network events, DNS queries, and email telemetry to identify potential compromise.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
003
This rule monitors for indicators of compromise (IOCs) associated with a specific AutoIT-based malware delivery chain. It tracks the execution and presence of specific malicious file names and SHA256 hashes, as well as network connections to a identified command-and-control (C2) infrastructure IP address (158.51.122.136). The detection spans file creation, process execution, image loading, and network communication events to identify the multi-stage attack lifecycle.
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Ankit Mehta@Secvyn
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SlimKQL 2026
2 months ago
408
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