Detections

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

5,155 detections

This rule detects network traffic indicative of the SCKIT MemTensor worm establishing a command-and-control (C2) beacon. The detection identifies TLS connections where the Server Name Indication (SNI) matches a specific pattern of a 12-character hexadecimal string followed by .skyleen.fr.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
001
This rule detects network traffic indicative of the SCKIT MemTensor worm establishing a command-and-control (C2) beacon. The detection identifies TLS connections where the Server Name Indication (SNI) matches a specific pattern of a 12-character hexadecimal string followed by .skyleen.fr.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
001
This rule detects network connections to known cryptomining pool IP addresses and domain names, as well as file or process executions matching specific hashes associated with known miner samples. It monitors for communication to command-and-control (C2) servers potentially used for cryptomining operations.
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Arnold Chan@slaz
Defender - KQL
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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Detections.ai Community
1 month ago
005
This rule monitors for activity associated with specific known malicious file names (killer.exe, kill.exe) and network connections to a set of identified malicious IP addresses. It aggregates events from DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents to identify potential communication or presence of these malicious artifacts.
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Arnold Chan@slaz
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Hunters
1 month ago
002
This rule monitors for activity associated with specific known malicious file names (killer.exe, kill.exe) and network connections to a set of identified malicious IP addresses. It aggregates events from DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents to identify potential communication or presence of these malicious artifacts.
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Arnold Chan@slaz
Defender - KQL
1 month ago
002
Detects endpoint, process, and network activity associated with the 'TaskStomp' threat actor, specifically targeting known malicious file hashes, command-and-control domains, and specific URLs used in their campaigns.
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Arnold Chan@slaz
Defender - KQL
1 month ago
002
This rule detects instances where the Terraform CLI tool connects to suspected lookalike domains associated with supply chain compromise attempts (e.g., hashicorp-aws[.]com or hashicorp-terraform[.]io) during common initialization or application workflows. It correlates process execution with network connection logs and optionally validates the presence of a related .terraform.lock.hcl file associated with the malicious origin.
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Ankit Mehta@Secvyn
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Hunters
1 month ago
002
This rule detects instances where the Terraform CLI tool connects to suspected lookalike domains associated with supply chain compromise attempts (e.g., hashicorp-aws[.]com or hashicorp-terraform[.]io) during common initialization or application workflows. It correlates process execution with network connection logs and optionally validates the presence of a related .terraform.lock.hcl file associated with the malicious origin.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects network activity associated with the 'ClickFix' social engineering campaign, specifically targeting the 'Macfinger' variant. This involves detecting the fetching of obfuscated tracker JavaScripts (t.js), the delivery of deceptive 'Bot Protection' overlay HTML prompts used to trick users into executing malicious code, and network connections to known C2 infrastructure.
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Arnold Chan@slaz
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Hunters
1 month ago
000
Detects network activity associated with the 'ClickFix' social engineering campaign, specifically targeting the 'Macfinger' variant. This involves detecting the fetching of obfuscated tracker JavaScripts (t.js), the delivery of deceptive 'Bot Protection' overlay HTML prompts used to trick users into executing malicious code, and network connections to known C2 infrastructure.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
000
Detects instances where Outlook (OUTLOOK.EXE) spawns an executable named 'ai.exe' with a command line containing a 16+ character hexadecimal string, followed closely (within 10 minutes) by a Microsoft Edge (msedge.exe) process execution acting as a network utility. This pattern is indicative of a potential phishing-initiated attack where a malicious payload is executed and subsequently leverages browser components for network communication or C2 activity.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
This rule detects instances of MSBuild.exe executing or communicating over the network while referencing .NET Framework paths. MSBuild is often abused as a LOLBAS (Living Off the Land Binary and Script) to execute arbitrary code or bypass application control, and unusual network activity from this process is a common indicator of beaconing or command-and-control communication.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
102
Detects successful network connections initiated by the ConfigurationRemotingServer.exe process. This binary is associated with Windows configuration remoting services and may be used for remote administrative tasks or unauthorized remote management activities.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects potential misuse of the WinGet configuration feature, where remote Desired State Configuration (DSC) YAML files are retrieved using masqueraded file extensions (e.g., .jpg or .txt) or suspicious outbound connections on port 8443, which may indicate an adversary attempting to hide malicious configurations or bypass network filtering.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
This rule detects internal hosts initiating outbound SSH connections to known public tunneling services (e.g., pinggy.io). Attackers frequently use these services to bypass network firewalls and create persistent reverse SSH tunnels for remote command-and-control access. The detection logic focuses on the identification of SSH protocol traffic headers combined with specific domain targeting or repetitive connection behavior.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
102
Detects outbound network connections to known command-and-control IP addresses associated with the SpiceRAT malware family. The rule monitors DeviceNetworkEvents for successful connections or connection attempts over ports 80 and 443.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
106
This rule detects network connections to domains and IP addresses associated with known malicious TLS CA infrastructure (TLC DV TLS CA) identified by JA4X fingerprints. It monitors endpoint network telemetry for communication with identified command-and-control (C2) servers.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
006
Detects the initialization sequence of the ORAX command-and-control framework, characterized by a handoff via a spoofed Cloudflare verification page followed by a WebSocket upgrade request.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
IOC hunt for the HEAVYGRAM/CRUDEEXCLUDE campaign: matches known SHA256 file hashes (first-stage malware, implant, RAR/ZIP artefacts) via DeviceFileEvents and DeviceProcessEvents, plus known-malicious domains/staging infrastructure by parsed hostname across network connections, process command lines, and file origin URLs.
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Arnold Chan@slaz
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Hunters
1 month ago
105
Detects network activity associated with the JWR Phishing-as-a-Service (PhaaS) platform. This includes the retrieval of the client-side JavaScript engine (main.js) from lookalike domains related to courier or government services, and subsequent client-side detection of the 'window.__HOST_MODE' flag, which indicates the browser has been primed for a specific phishing scenario.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
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