Detections

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

40,063 detections

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
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Detection & Hunting Community
1 month ago
003
Detects execution of potentially malicious scripts (a2.cmd) or unusual DLL loading behavior via rundll32.exe. This activity is often associated with staging or executing malicious payloads using non-standard naming conventions.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
Detects potential staging and execution chains involving remote MSI file fetching via msiexec.exe, or the execution of .wsf scripts or registry imports originating from or residing in AppData directories. This behavior is indicative of multistage malware delivery or persistence mechanisms where components are downloaded and executed using LOLBins.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
Detects instances where rundll32.exe loads a DLL file named Use.dll from a subdirectory named 'ComponentsFolder' within the AppData directory. This pattern is indicative of sandbox evasion techniques used by malware, such as the DarkMe RAT, where the DLL acts as an anti-sandbox gateway to check the execution environment.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
005
Detects suspicious execution patterns characteristic of post-exploitation activity, such as invoking 'go run' or 'node' from non-standard directories like AppData or Temp, as well as the use of command-line routines to delete files after execution (often associated with self-deleting secondary payloads or persistence cleanup).
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
205
Detects the execution of known credential harvesting tools such as Mimikatz, LaZagne, and pypykatz, or the use of their specific command-line arguments. The rule includes exclusions for common security software processes and authorized testing paths.
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Arnold Chan@slaz
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Hunters
1 month ago
003
Detects the spawning of common administrative or script-execution tools as child processes from SharePoint-related processes (w3wp.exe or OWSTIMER.EXE). This behavior is often indicative of exploitation attempts targeting SharePoint application pools to execute arbitrary code.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects the loading of Python DLLs (python36.dll or python37.dll) from suspicious, non-standard user-writable directories such as Downloads, Temp, or AppData, which may indicate a DLL sideloading attempt.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
This rule identifies DNS queries or web requests directed toward a known list of domain names associated with the 'ShipmentsFree' family of shipping-rebate scams. These scams are typically designed to lure consumers into unknowingly signing up for recurring, undisclosed subscription services.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
003
Detects network connections, process command line arguments, and DNS queries associated with identified Galago or Panzer ransomware C2, leak site, or contact infrastructure (Tox IDs/Tor .onion addresses).
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Ankit Mehta@Secvyn
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Hunters
1 month ago
104
Detects the drop and execution of the AvisLoader rootkit component, hmn_hook.dll. The rule identifies suspicious file drops in non-standard, user-writable directories (e.g., AppData, Temp) that are not associated with legitimate installers, as well as the loading of unsigned or non-Microsoft-signed versions of the DLL accompanied by hook-related process arguments such as HMN_HideStart or NtQuerySystemInformation.
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Arnold Chan@slaz
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Hunters
1 month ago
003
Detects potential manual paste-and-run execution patterns where a shell or interpreter is launched directly from Windows Explorer (e.g., via the Run dialog or manual clipboard paste), correlated with either command-line references to or outbound network connections towards Cloudflare Tunnel services (trycloudflare.com, workers.dev). The rule specifically identifies one-off execution events by excluding cases where explorer.exe spawns multiple child processes simultaneously, indicating non-routine shell behavior.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
103
This rule detects a specific persistence technique used by AvisLoader malware. It monitors for the creation of a .lnk.backup file alongside a corresponding .lnk shortcut modification in common shell locations (Desktop, Taskbar, etc.), coupled with the execution of wscript.exe or cscript.exe referencing the 'VLCAssistant' VBScript within a short time window. This sequence indicates an attempt to persist malicious activity by backing up existing shortcuts and replacing them with a launcher for the AvisLoader payload.
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Arnold Chan@slaz
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Hunters
1 month ago
003
This rule detects a specific persistence technique used by AvisLoader malware. It monitors for the creation of a .lnk.backup file alongside a corresponding .lnk shortcut modification in common shell locations (Desktop, Taskbar, etc.), coupled with the execution of wscript.exe or cscript.exe referencing the 'VLCAssistant' VBScript within a short time window. This sequence indicates an attempt to persist malicious activity by backing up existing shortcuts and replacing them with a launcher for the AvisLoader payload.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
003
This rule detects a specific persistence technique used by AvisLoader malware. It monitors for the creation of a .lnk.backup file alongside a corresponding .lnk shortcut modification in common shell locations (Desktop, Taskbar, etc.), coupled with the execution of wscript.exe or cscript.exe referencing the 'VLCAssistant' VBScript within a short time window. This sequence indicates an attempt to persist malicious activity by backing up existing shortcuts and replacing them with a launcher for the AvisLoader payload.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
003
Detects execution of shell commands (cmd, powershell) by processes associated with AvisLoader (e.g., 78324.exe, VLCAssistant.exe, auto.exe), followed by the creation or modification of files in suspicious user-writable directories (e.g., appdata, temp) within a 10-minute window, suggesting potential C2 activity and secondary payload staging.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
103
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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Detections.ai Community
1 month ago
003
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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Hunters
1 month ago
003
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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Midnight Slayer
1 month ago
003
This rule detects suspicious PowerShell execution initiated by a Node.js process (node.exe). It monitors for command lines containing common bypass flags (-NoProfile, -NonInteractive, -ExecutionPolicy Bypass) and a specific string pattern 'wra-ps-', which is often associated with malicious scripts or remote access trojans (RATs) being executed via a Node.js application.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
2 months ago
109
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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Detections.ai Community
1 month ago
004
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