Detections

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

40,065 detections

Detects the GoCaracal lightweight implant performing process injection by identifying combinations of remote process memory allocation (VirtualAllocRemoteApiCall), memory writing (WriteProcessMemoryRemoteApiCall), and remote thread creation (CreateRemoteThreadApiCall) associated with specific suspicious filenames. It also monitors command-line activity for injection-related flags.
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Arnold Chan@slaz
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Hunters
2 months ago
006
This rule detects the installation of browser extensions that occur during an idle user session (greater than 7 minutes). This behavior is consistent with automated, remote-driven synthetic input injection, often utilized by malware (e.g., NinjaMare) to install malicious extensions without user consent while the system is unattended.
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Arnold Chan@slaz
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Hunters
2 months ago
006
Detects instances where base64-encoded PHP code, obfuscated behind a 'data:image/gif;base64' MIME type prefix, is written to the disk as a .php file or initiated by web server processes. This pattern is commonly used in file upload bypass attacks to execute arbitrary code.
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Arnold Chan@slaz
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Hunters
2 months ago
206
Detects the execution of known potentially malicious tools cplsupport.exe and wtass.exe with install parameters, or the creation of a Windows service associated with these filenames using sc.exe. This activity is indicative of service-based persistence or malicious software installation.
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Arnold Chan@slaz
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Hunters
2 months ago
006
This rule detects potential persistence attempts by monitoring for the execution and service installation commands of specific binaries: cplsupport.exe and wtass.exe. The rule triggers if these files are executed directly, invoked with specific command-line arguments (e.g., '--install'), or used in conjunction with the 'sc.exe' utility to create new services, which is a common technique for establishing persistence or privilege escalation.
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Arnold Chan@slaz
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Hunters
2 months ago
006
Detects the execution of an executable file located within the Windows Temp directory structure via the command prompt (cmd.exe). This pattern is commonly associated with the execution of downloaded payloads, droppers, or staged malware that are moved to temporary directories to evade initial detection.
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Arnold Chan@slaz
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Hunters
2 months ago
106
This rule detects instances where a process named 'wsc_updata.exe' executing from a Temp directory loads a library named 'wsc.dll'. This behavior is characteristic of DLL side-loading or DLL hijacking, where a malicious or potentially unwanted executable attempts to load a library from a user-writable directory to execute arbitrary code.
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Arnold Chan@slaz
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Hunters
2 months ago
206
Detects browser navigation events where the target URL is a locally generated 'blob:' URI that includes keywords associated with common credential harvesting targets (e.g., login, Microsoft 365, DocuSign). Adversaries use blob URIs to render phishing content directly from memory, which can help bypass certain static URL reputation filters and email security gateways.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
4010
This rule detects the creation of a scheduled task via schtasks.exe that uses a name similar to 'Google Chrome Update' but is initiated by a process other than the legitimate Google Update executable or from an unexpected folder location. This behavior is commonly used by adversaries to establish persistence while masquerading as legitimate software update mechanisms.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
001
This rule detects a correlation between host-level reconnaissance activity using WMI (via PowerShell or WMIC) to query system information, followed by network exfiltration to a known C2 IP address over a specific URI within a 10-minute window.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
101
Detects usage of the 'gem' command (install, build, push, publish) that includes naming patterns or specific command strings associated with the GemStuffer supply chain compromise campaign. This targets attempts to introduce malicious dependencies into the environment using RubyGems.
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Ankit Mehta@Secvyn
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SlimKQL
2 months ago
002
Detects the execution of Ruby or Yard processes where specific command-line arguments (e.g., --load) are used to invoke potentially malicious Ruby script files like evil.rb, loader.rb, or script.rb. This pattern is indicative of an adversary leveraging existing legitimate tools to execute arbitrary script code.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
002
Detects remote service manipulation, including service creation, starting, and deletion, using the SVCCTL RPC interface. This activity is a common method for lateral movement and remote code execution by tools like PsExec, smbexec, and CrackMapExec.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
2 months ago
209
Detects indicators of the 'ShieldCrash' proof-of-concept (CVE-2026-69414 exploit bypass) on Windows systems. The rule monitors for specific malicious file activity, module loading, and the presence of decoy archive files associated with the PoC, which are used to achieve arbitrary file read as SYSTEM.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
5014
Detects high-volume outbound network traffic (exceeding 100MB) generated by processes identifying as 'python-httpx' to non-internal IP addresses. This activity is often associated with automated data exfiltration using Python-based tools.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
001
This rule identifies successful network connections from local devices to a predefined list of known malicious IP addresses within the last 7 days. Such connections often indicate active communication between a compromised endpoint and adversary-controlled infrastructure.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
002
Detects outbound network connections from endpoints to domains and IP addresses associated with the Kimsuky (APT43) threat actor group. This rule leverages endpoint network telemetry to identify potential command and control (C2) communication or data exfiltration activities.
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F S@Fsdr
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Detections.ai Community
2 months ago
11014
This rule monitors for file creation or modification events related to the Admin Menu Editor Pro WordPress plugin, specifically looking for indicators of specific versions (2.35, 2.36) or file naming conventions. It also alerts on network communication to the plugin's domain, which could indicate a compromise or the use of an unauthorized or modified plugin version that may be associated with known vulnerabilities.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
102
Detects individual process-level invocations of Microsoft Graph API endpoints commonly used for reconnaissance of user, group, and role information. This rule acts as a precursor signal to identify potential enumeration activities within an Office 365 environment.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
002
Detects activity associated with the 'MovieReaper' threat campaign by identifying known malicious file hashes, command and control (C2) IP addresses, and communication with identified malicious domains. This rule monitors process execution, file operations, and network connections within the campaign's active timeframe.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
001
Detects instances where the 'msedge.exe' binary is executed from the non-standard path 'C:\ProgramData\Microsoft\Windows\Telemetry\', excluding instances initiated by the legitimate Microsoft Edge Update process. This pattern often indicates masquerading, where an adversary places a malicious file with a legitimate name in an attempt to evade detection.
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Arnold Chan@slaz
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Hunters
2 months ago
001
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