Detections

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

40,057 detections

Detects the execution of regsvr32.exe with command line arguments containing 'scrobj.dll' and '/i:http'. This behavior indicates the abuse of the Windows Registry Server utility to load a remote COM scriptlet, a technique frequently observed in TA505 adversary activity to execute malicious payloads, such as the Get2 downloader or SDBbot RAT.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects the use of PowerShell to download content from a remote URI and execute it using encoded commands or expression evaluation, a pattern commonly used by the FIN8 threat group (Syssphinx) to deploy the BADHATCH backdoor.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects the creation of scheduled tasks that invoke rundll32.exe to execute code from suspicious, user-writable, or temporary file paths. This pattern is consistent with common persistence mechanisms employed by threat groups such as Wizard Spider (also known as Grim Spider, Gold Blackburn, and Periwinkle Tempest) to execute payloads like TrickBot or BazarLoader.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects Microsoft Office applications (Winword/Excel) spawning PowerShell or MSHTA with base64-encoded command-line arguments, followed by subsequent persistence mechanisms such as creating scheduled tasks or modifying Registry Run keys. This behavior is indicative of APT38 (BlueNoroff) and similar campaigns delivering banking Trojans via malicious Office macros.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects the execution of potentially malicious processes mimicking cryptocurrency or wallet applications (e.g., 'wallet', 'coin', 'crypto', 'exchange') that are launched from user-accessible directories like Downloads or Temp. The detection specifically looks for these processes spawning command-line interpreters (cmd.exe, powershell.exe) or proxy execution binaries (rundll32.exe), a behavior pattern characteristic of the AppleJeus campaign associated with Lazarus Group (Diamond Sleet).
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects the modification of registry keys under HKLM or HKCU classes related to COM objects, specifically the InprocServer32 subkey, where the default value is changed to point to a DLL in common user-writable locations such as AppData, Temp, or ProgramData. This behavior is indicative of COM Hijacking used for persistence, as observed in Turla (Secret Blizzard) campaigns.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
102
Detects Gamaredon (Armageddon) group activity characterized by Microsoft Office applications (winword.exe or excel.exe) writing to global template files (Normal.dotm or Personal.xlsb) to implant malicious macros, or dropping .vbs or .lnk files into startup or template directories to achieve persistence and facilitate further propagation.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects the silent installation of common Remote Monitoring and Management (RMM) tools (ScreenConnect, Atera, AnyDesk) when triggered by potentially suspicious parent processes such as email clients, web browsers, or archive utilities. This pattern is characteristic of MuddyWater's (Mango Sandstorm) post-compromise tradecraft for establishing persistent C2 channels.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
202
This rule detects instances where Microsoft Word (winword.exe) or Microsoft Excel (excel.exe) initiate a PowerShell (powershell.exe) process containing command-line arguments typical of downloader stagers, such as 'IEX', 'DownloadString', or hidden execution flags. This behavior is a common indicator of macro-based delivery of malware, frequently observed in campaigns associated with FIN7/Carbanak and other threat actors utilizing Cobalt Strike or similar offensive frameworks.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
102
Detects lateral movement via PsExec (PSEXESVC) followed by mass file encryption/rename activities and the creation of ransom note files, characteristic of Wizard Spider's deployment of Conti ransomware.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
102
Detects the execution of known Python scripts (CES_Enroll.py, ntlm_ces_relay.py, ces_negotiate_ntlm.py) often associated with NTLM relay attacks or forced authentication techniques. These scripts leverage Python to interact with authentication protocols or relay requests.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
006
Detects the Antino backdoor components (GatherOsState.exe or a standalone installer) spawning cmd.exe or powershell.exe to execute commands, indicative of command-and-control tasking.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
202
Detects a suspicious sequence of events where a remote access tool (RAT) is installed on a device, followed by significantly elevated and anomalous database query activity performed by the same account over an extended period. The rule utilizes a baseline window to identify deviations from normal query volumes while excluding known service accounts and administrative ETL/BI tasks.
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Arnold Chan@slaz
Defender - KQL
1 month ago
002
Detects a suspicious sequence of events where a remote access tool (RAT) is installed on a device, followed by significantly elevated and anomalous database query activity performed by the same account over an extended period. The rule utilizes a baseline window to identify deviations from normal query volumes while excluding known service accounts and administrative ETL/BI tasks.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
202
Detects a suspicious sequence of events where a remote access tool (RAT) is installed on a device, followed by significantly elevated and anomalous database query activity performed by the same account over an extended period. The rule utilizes a baseline window to identify deviations from normal query volumes while excluding known service accounts and administrative ETL/BI tasks.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
102
Detects a suspicious sequence of events where a common internet-facing server process (e.g., w3wp.exe, nginx.exe) spawns a potentially malicious child process (e.g., cmd.exe, powershell.exe), followed shortly thereafter by mass file modifications on the same host, which is characteristic of ransomware behavior following initial exploitation.
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Arnold Chan@slaz
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Hunters
1 month ago
002
Detects a suspicious sequence of events where a common internet-facing server process (e.g., w3wp.exe, nginx.exe) spawns a potentially malicious child process (e.g., cmd.exe, powershell.exe), followed shortly thereafter by mass file modifications on the same host, which is characteristic of ransomware behavior following initial exploitation.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
102
Detects execution patterns associated with known Water Hydra exploit chains, specifically targeting CVE-2023-38831 (WinRAR self-extracting archive exploitation) and CVE-2024-21412 (Mark-of-the-Web/SmartScreen bypass via nested internet shortcuts). The rule monitors process lineage for WinRAR spawning command interpreters from temporary extraction directories and command line anomalies associated with rundll32.exe triggered from internet shortcut chains.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
13013
This rule detects various malicious indicators of compromise (IOCs) across multiple telemetry sources, including DNS queries, web network traffic, file executions, process creation, and email activity. It monitors for interactions with known malicious domains, URLs, file hashes, and specific sender email addresses to identify potential malware distribution or C2 activity.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
102
This rule detects various malicious indicators of compromise (IOCs) across multiple telemetry sources, including DNS queries, web network traffic, file executions, process creation, and email activity. It monitors for interactions with known malicious domains, URLs, file hashes, and specific sender email addresses to identify potential malware distribution or C2 activity.
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Arnold Chan@slaz
Defender - KQL
1 month ago
002
This rule detects various malicious indicators of compromise (IOCs) across multiple telemetry sources, including DNS queries, web network traffic, file executions, process creation, and email activity. It monitors for interactions with known malicious domains, URLs, file hashes, and specific sender email addresses to identify potential malware distribution or C2 activity.
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Arnold Chan@slaz
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Hunters
1 month ago
002
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