Detections

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

1,664 detections

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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Detections.ai Community
1 month ago
002
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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Hunters
1 month ago
002
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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Detection & Hunting Community
1 month ago
002
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.
avatar
Arnold Chan@slaz
avatar
Detections.ai Community
1 month ago
002
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
002
This rule monitors for the execution or presence of files matching a specific set of known malicious MD5 hashes within the environment. It leverages DeviceFileEvents and DeviceProcessEvents logs to identify if these specific files are being accessed or executed on managed endpoints.
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Ankit Mehta@Secvyn
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Hunters
1 month ago
002
This rule monitors for the execution or presence of files matching a specific set of known malicious MD5 hashes within the environment. It leverages DeviceFileEvents and DeviceProcessEvents logs to identify if these specific files are being accessed or executed on managed endpoints.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
1 month ago
002
This rule monitors for the execution or presence of files matching a specific set of known malicious MD5 hashes within the environment. It leverages DeviceFileEvents and DeviceProcessEvents logs to identify if these specific files are being accessed or executed on managed endpoints.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects execution artifacts of the MovieReaper stage 2 implant, specifically its capability to parse and load COFF modules into memory without writing them to disk. The rule monitors process command lines for 'module_init' and identifies suspicious API activity related to memory-based module loading, such as reflective DLL loading or remote thread creation.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
005
Detects instances where rundll32.exe is used to execute a DLL file directly from a remote WebDAV-mounted network path (indicated by the 'DavWWWRoot' string). This technique allows for the execution of arbitrary code without writing the malicious payload to the local disk, a common tactic seen in fileless malware delivery and campaigns like ClearFake.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects file, process, and network activity associated with the TraderTraitor/KelpDAO malware campaign based on known hashes, filenames, paths, and C2 infrastructure.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
102
This rule detects activities associated with the AMOS (Atomic macOS Stealer) malware family by monitoring for known malicious file hashes on endpoints and network communication with domains linked to its command-and-control infrastructure.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
106
This rule detects activities associated with the AMOS (Atomic macOS Stealer) malware family by monitoring for known malicious file hashes on endpoints and network communication with domains linked to its command-and-control infrastructure.
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Arnold Chan@slaz
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Hunters
1 month ago
206
Detects the GHAPPIER loader identified across 65 public npm/GitHub repositories and 22 developer accounts, based on its embedded remote-fetch/eval pattern and campaign markers
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
102
This rule detects a multi-stage attack chain targeting a single user within a 2-hour window. It identifies the combination of email bombing (a distraction technique), an incoming external or anonymous Teams call (social engineering channel), and the installation of common remote access tools (e.g., AnyDesk, TeamViewer) on the same host.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
This rule detects a multi-stage attack chain targeting a single user within a 2-hour window. It identifies the combination of email bombing (a distraction technique), an incoming external or anonymous Teams call (social engineering channel), and the installation of common remote access tools (e.g., AnyDesk, TeamViewer) on the same host.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
Detects known malicious files associated with Kimsuky (APT-C-55) Stella_Gary attack chain by MD5 hash: OrionQuests-Setup.exe installer, guide.url.lnk, test.bef_fri, and backdoor payload component
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
005
Detects known malicious files associated with Kimsuky (APT-C-55) Stella_Gary attack chain by MD5 hash: OrionQuests-Setup.exe installer, guide.url.lnk, test.bef_fri, and backdoor payload component
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
005
This rule monitors for indicators of compromise (IOCs) associated with the Rapuncel/Cruciferra 'Bring Your Own Vulnerable Driver' (BYOVD) malware-as-a-service (MaaS) campaign. It detects malicious file hashes (associated with dropped binaries or drivers), connections to known malicious command-and-control (C2) IP addresses, and network requests to domains used by the infrastructure.
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Arnold Chan@slaz
Defender - KQL
1 month ago
104
This rule monitors for indicators of compromise (IOCs) associated with the Rapuncel/Cruciferra 'Bring Your Own Vulnerable Driver' (BYOVD) malware-as-a-service (MaaS) campaign. It detects malicious file hashes (associated with dropped binaries or drivers), connections to known malicious command-and-control (C2) IP addresses, and network requests to domains used by the infrastructure.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
104
This rule detects potential malicious activity by monitoring for known malicious file hashes (MD5) across file and process events, and correlating them with known Command and Control (C2) infrastructure communication patterns, including specific IP addresses and URI paths.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
104
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