Detections

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

40,063 detections

Detects non-browser processes performing file operations (create, modify, rename) on known web browser credential storage, configuration files, and cryptocurrency wallet artifacts in a short duration. This behavior is indicative of credential harvesting or information stealing activity often associated with malware like Vidar, which stages these sensitive files for exfiltration.
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Ankit Mehta@Secvyn
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SlimKQL
2 months ago
103
This rule monitors for network connections to Telegram-related domains (t.me, telegra.ph, teleg.run) initiated by processes other than standard web browsers. This behavior is frequently associated with malware or adversary tools utilizing the Telegram API for command and control (C2) or data exfiltration, as it bypasses legitimate browser usage.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
103
Detects the execution of PowerShell with suspicious command-line arguments (headless mode, hidden window, encoded commands) spawned by WScript.exe. This pattern is commonly associated with obfuscated script execution or fileless malware staging.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
205
This rule detects potential malicious activity by matching file hashes against a known list of malicious indicators and monitoring for suspicious network connections. The network monitoring includes connections to hardcoded malicious IP addresses, specific C2 URLs, and DNS queries for known fallback domains used in malicious infrastructure when the initiating process is not a recognized web browser or wallet application.
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Arnold Chan@slaz
Defender - KQL
1 month ago
001
This rule detects potential malicious activity by matching file hashes against a known list of malicious indicators and monitoring for suspicious network connections. The network monitoring includes connections to hardcoded malicious IP addresses, specific C2 URLs, and DNS queries for known fallback domains used in malicious infrastructure when the initiating process is not a recognized web browser or wallet application.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
001
Detects anomalous post-exploitation behavior associated with SectopRAT, where a suspicious process (e.g., ReportDump.exe) establishes a persistent network connection to a known C2 IP address followed closely by the invocation of common command-line utilities (cmd, powershell, tasklist, etc.) used for file and process management.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
Detects anomalous post-exploitation behavior associated with SectopRAT, where a suspicious process (e.g., ReportDump.exe) establishes a persistent network connection to a known C2 IP address followed closely by the invocation of common command-line utilities (cmd, powershell, tasklist, etc.) used for file and process management.
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Arnold Chan@slaz
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Hunters
1 month ago
001
Detects anomalous post-exploitation behavior associated with SectopRAT, where a suspicious process (e.g., ReportDump.exe) establishes a persistent network connection to a known C2 IP address followed closely by the invocation of common command-line utilities (cmd, powershell, tasklist, etc.) used for file and process management.
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Arnold Chan@slaz
Defender - KQL
1 month ago
001
Detects anomalous post-exploitation behavior associated with SectopRAT, where a suspicious process (e.g., ReportDump.exe) establishes a persistent network connection to a known C2 IP address followed closely by the invocation of common command-line utilities (cmd, powershell, tasklist, etc.) used for file and process management.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
001
Detects anomalous post-exploitation behavior associated with SectopRAT, where a suspicious process (e.g., ReportDump.exe) establishes a persistent network connection to a known C2 IP address followed closely by the invocation of common command-line utilities (cmd, powershell, tasklist, etc.) used for file and process management.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
001
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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Midnight Slayer
1 month ago
001
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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Hunters
1 month ago
001
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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Detection & Hunting Community
1 month ago
001
Detects the loading of the 'WbElevation.dll' module associated with SectopRAT, followed by suspicious access to browser, email, or cryptocurrency wallet credential stores within a 10-minute window on the same device.
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Arnold Chan@slaz
Defender - KQL
1 month ago
001
Detects the loading of the 'WbElevation.dll' module associated with SectopRAT, followed by suspicious access to browser, email, or cryptocurrency wallet credential stores within a 10-minute window on the same device.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
This rule detects potential SectopRAT loader activity by identifying non-.NET-native processes accessing 'pool.db' in the ProgramData directory followed by the immediate loading of .NET CLR libraries (clr.dll or mscoreei.dll). This pattern is indicative of reflective loading of a decrypted .NET payload into memory within a target process.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
001
This rule detects potential SectopRAT loader activity by identifying non-.NET-native processes accessing 'pool.db' in the ProgramData directory followed by the immediate loading of .NET CLR libraries (clr.dll or mscoreei.dll). This pattern is indicative of reflective loading of a decrypted .NET payload into memory within a target process.
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Arnold Chan@slaz
Defender - KQL
1 month ago
001
Detects potential activity related to the SectopRAT loader by monitoring the execution sequence of 'ReportDump.exe'. The rule identifies the side-loading of a specific DLL ('sdkcra.dll') followed by the process reading a known configuration or database file ('pool.db') within a short time window, which is indicative of the loader's secondary decryption phase.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
001
Detects potential activity related to the SectopRAT loader by monitoring the execution sequence of 'ReportDump.exe'. The rule identifies the side-loading of a specific DLL ('sdkcra.dll') followed by the process reading a known configuration or database file ('pool.db') within a short time window, which is indicative of the loader's secondary decryption phase.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
001
Detects potential activity related to the SectopRAT loader by monitoring the execution sequence of 'ReportDump.exe'. The rule identifies the side-loading of a specific DLL ('sdkcra.dll') followed by the process reading a known configuration or database file ('pool.db') within a short time window, which is indicative of the loader's secondary decryption phase.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
001
Detects a specific execution sequence associated with the SectopRAT loader. The rule identifies a process named 'ReportDump.exe' reading a payload file 'Activation.Desktop.db' and subsequently loading 'stp_aim_x64_vc15.dll', which is known to trigger malicious shellcode via an exported function.
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Arnold Chan@slaz
Defender - KQL
1 month ago
001
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