Detections

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

1,664 detections

This rule detects various malicious indicators including known file hashes, IP addresses, domains, and specific URLs associated with threat activity. It consolidates hits from process, file, and network telemetry to alert on potential compromise or communication with identified command-and-control (C2) infrastructure.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
000
This rule detects various malicious indicators including known file hashes, IP addresses, domains, and specific URLs associated with threat activity. It consolidates hits from process, file, and network telemetry to alert on potential compromise or communication with identified command-and-control (C2) infrastructure.
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Arnold Chan@slaz
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Hunters
1 month ago
000
This rule detects various malicious indicators including known file hashes, IP addresses, domains, and specific URLs associated with threat activity. It consolidates hits from process, file, and network telemetry to alert on potential compromise or communication with identified command-and-control (C2) infrastructure.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
000
Detects the reflectively-loaded SectopRAT .NET payload by its combination of heavy calli (indirect call) opcode usage for control-flow flattening and its characteristic runtime string-decryption helper method used to resolve the C2 IP/port and other obfuscated strings
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
Matches known SHA-256 hashes of AvisLoader toolkit components recovered from an exposed staging server: the Windows loader client, UAC-bypass helper, and process-hiding DLL
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Arnold Chan@slaz
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Hunters
1 month ago
002
Detects AvisLoader Windows loader requiring both decoy non-executable packer-named sections and an embedded c-toxcore developer build path to co-occur in a valid PE
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
This rule monitors for known malicious indicators, including a specific file hash, a C2 IP address, a remote URL associated with potential malicious activity (anydesk.exe), and a domain associated with C3Pool crypto-mining activity, across device processes, network events, and file operations.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
This rule identifies potential infections associated with the MacSync malware family by matching process, file, and network indicators (hashes, malicious domains, and specific payload URLs) against endpoint telemetry. It monitors for execution of known malicious binaries, file creation events, and communication with identified command-and-control infrastructure.
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Arnold Chan@slaz
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Hunters
1 month ago
002
This rule identifies potential infections associated with the MacSync malware family by matching process, file, and network indicators (hashes, malicious domains, and specific payload URLs) against endpoint telemetry. It monitors for execution of known malicious binaries, file creation events, and communication with identified command-and-control infrastructure.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
002
Detects the presence of PAYLOAD ransomware ELF binaries specifically configured to target VMware ESXi environments. The detection logic looks for a combination of ELF magic bytes, the 'PAYLOAD' string, references to common virtual machine file extensions (e.g., .vmdk, .vmx), and usage of ESXi-specific administration tools such as esxcli or vim-cmd.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
This rule detects the creation of executable files (.exe or .dll) within the 'C:\Windows\SysWOW64\' directory by processes other than trusted Windows OS installation or servicing components. This activity is indicative of potential malware staging, side-loading, or persistence mechanisms where an adversary drops malicious payloads into a trusted system directory to evade detection.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
005
This rule detects malicious .lnk files typically delivered as email attachments (spearphishing). It identifies shortcuts that execute cmd.exe with the /k switch, combined with environment variable substring expansion techniques designed to obfuscate multi-stage command execution chains.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
Detects Neo-reGeorg tunnel.jsp/tunnel.jspx servlets used by UNC6240 to establish SOCKS5-over-HTTP(S) tunneling from compromised PeopleSoft PSEMHUB.war hosts
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
Detects files matching known SHA256 hashes of the masqueraded MSP360 RMM v2.5.0.67 installer and associated ScreenConnect/utility payloads used in phishing-to-dual-RMM campaigns
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Arnold Chan@slaz
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Hunters
1 month ago
000
Detects files matching known SHA256 hashes of the masqueraded MSP360 RMM v2.5.0.67 installer and associated ScreenConnect/utility payloads used in phishing-to-dual-RMM campaigns
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
000
Detects files matching known SHA256 hashes of the masqueraded MSP360 RMM v2.5.0.67 installer and associated ScreenConnect/utility payloads used in phishing-to-dual-RMM campaigns
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
000
This rule monitors for indicators of compromise (IOCs) associated with the Lunex Malware-as-a-Service (MaaS) campaign. It aggregates telemetry from file creation, process execution, and network connections to identify the presence of known malicious hashes, C2 IP addresses, phishing-related domains, and specific payload URLs.
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Arnold Chan@slaz
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Hunters
1 month ago
001
This rule monitors for indicators of compromise (IOCs) associated with the Lunex Malware-as-a-Service (MaaS) campaign. It aggregates telemetry from file creation, process execution, and network connections to identify the presence of known malicious hashes, C2 IP addresses, phishing-related domains, and specific payload URLs.
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Arnold Chan@slaz
Defender - KQL
1 month ago
001
This rule monitors for indicators of compromise (IOCs) associated with the Lunex Malware-as-a-Service (MaaS) campaign. It aggregates telemetry from file creation, process execution, and network connections to identify the presence of known malicious hashes, C2 IP addresses, phishing-related domains, and specific payload URLs.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
001
This rule monitors network, file, and process telemetry for matches against a predefined list of malicious IP addresses, domain names, and file hashes. It flags suspicious network connections to known C2 infrastructure and the presence or execution of known malicious files based on SHA256 and SHA1 indicators.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
106
This rule identifies potential malicious activity by detecting the presence of known malicious file hashes (SHA256 and MD5) on endpoints and monitoring for DNS queries or network connections to a known malicious staging domain (yapw.life). The detection correlates file execution, file activity, and network communication to identify stages of an attack such as malware installation or C2 communication.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
306
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