Detections

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

1,664 detections

Detects the Kimsuky second-stage payload test.bef_fri which masquerades as an RTF file via a falsified RTF header before header repair and decompression
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
002
Detects the Kimsuky second-stage payload test.bef_fri which masquerades as an RTF file via a falsified RTF header before header repair and decompression
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
Detects the Kimsuky trojanized .NET installer OrionQuests-Setup.exe that decrypts embedded AES resource OrionSetup.payload.enc to drop a decoy OrionLauncher installer and malicious LNK file
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
002
Detects the Kimsuky trojanized .NET installer OrionQuests-Setup.exe that decrypts embedded AES resource OrionSetup.payload.enc to drop a decoy OrionLauncher installer and malicious LNK file
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Arnold Chan@slaz
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Hunters
1 month ago
002
Detects the Kimsuky trojanized .NET installer OrionQuests-Setup.exe that decrypts embedded AES resource OrionSetup.payload.enc to drop a decoy OrionLauncher installer and malicious LNK file
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
002
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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Hunters
1 month ago
002
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
Defender - KQL
1 month ago
002
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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Midnight Slayer
1 month ago
002
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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Detection & Hunting Community
1 month ago
002
Detects the execution or file activity associated with the 'OrionQuests-Setup.exe' installer. This rule monitors both process creation and file system activity to track the presence and usage of this specific installer executable, which may indicate the installation of potentially unauthorized or untrusted software.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
002
Detects the execution or file activity associated with the 'OrionQuests-Setup.exe' installer. This rule monitors both process creation and file system activity to track the presence and usage of this specific installer executable, which may indicate the installation of potentially unauthorized or untrusted software.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
002
Detects the execution or file activity associated with the 'OrionQuests-Setup.exe' installer. This rule monitors both process creation and file system activity to track the presence and usage of this specific installer executable, which may indicate the installation of potentially unauthorized or untrusted software.
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Arnold Chan@slaz
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Hunters
1 month ago
002
This rule monitors endpoint telemetry (File, Process, and Network events) to identify activity associated with a pre-defined set of known malicious file hashes, IP addresses, and domains. It correlates these indicators to detect potential malware execution, persistence, or command-and-control communication on monitored devices.
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Arnold Chan@slaz
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Hunters
1 month ago
002
This rule monitors endpoint telemetry (File, Process, and Network events) to identify activity associated with a pre-defined set of known malicious file hashes, IP addresses, and domains. It correlates these indicators to detect potential malware execution, persistence, or command-and-control communication on monitored devices.
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Arnold Chan@slaz
Defender - KQL
1 month ago
102
This rule monitors endpoint telemetry for known indicators of compromise associated with the Casbaneiro/Ousaban banking trojan. It identifies activity across network connections (IPs and domain patterns), DNS queries for specific C2 domains, and the presence or execution of known malicious file hashes (e.g., PDF lures, HTA, AutoIt scripts, and payload binaries).
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
Detects Koktevrat Stage 1 dropper (femam.apk / MandatGO) that decrypts and installs the encrypted wudEMR.apk secondary payload using a 3-byte XOR key
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
Detects OtterCookie JavaScript-based RAT/infostealer malware artifacts associated with WaterPlum/Contagious Interview campaign
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
001
Detects OtterCookie JavaScript-based RAT/infostealer malware artifacts associated with WaterPlum/Contagious Interview campaign
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Arnold Chan@slaz
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Hunters
1 month ago
001
This rule monitors for the presence or execution of files matching a known set of SHA256 hashes associated with the 'DXSCAN' malware, utilizing both device file and process events.
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Ankit Mehta@Secvyn
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Detection & Hunting Community
1 month ago
002
This rule monitors for the presence or execution of files matching a known set of SHA256 hashes associated with the 'DXSCAN' malware, utilizing both device file and process events.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
102
This rule detects Windows PE executables that are digitally signed with code-signing certificates attributed to 'Discord Inc.' or 'Lenovo'. It performs a negative check to verify that the file metadata (such as internal names or company strings) does not match legitimate software from these vendors. This is intended to identify potential abuse of stolen certificates by adversaries to bypass security controls and masquerade as trusted software.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
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