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Arnold Chan

@slaz
Trusted contributorCompletionist
2 followers2,099 downloads4,320 copies51 likes25,775 views

7,544 detections

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
Defender - KQL
2 months ago
102
Detects outbound network traffic from a potential backdoor known as 'Toy Ghouls' (bird-agent) to the ip-api.com service, likely used for geolocation-based reconnaissance or target validation.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
002
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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Detections.ai Community
2 months ago
002
Detects instances where the process wtass.exe (often associated with specific legacy or third-party enterprise tools) spawns cmd.exe. This pattern is potentially indicative of command-line abuse, where a legitimate application's child process is leveraged to execute shell commands.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
002
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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Detections.ai Community
2 months ago
002
Detects unauthenticated requests to the WordPress admin-ajax.php endpoint utilizing the 'super_create_nonce' action. This action allows an unauthenticated user to generate a valid session nonce, which is a critical bypass mechanism often required for the exploitation of vulnerabilities within the Super Forms plugin, such as CVE-2026-14894.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
102
Detects the creation, modification, or renaming of PHP files within the 'wp-content/uploads' directory of a WordPress installation. This pattern is commonly indicative of an attacker uploading a web shell to maintain persistence or execute arbitrary code on a compromised web server.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
102
This rule detects high-volume, potentially automated POST requests to specific WordPress plugin endpoints (Super Forms and Elementor Pro) used for form submissions and file uploads. A high frequency of these requests from a single source within a short timeframe suggests active reconnaissance or exploitation attempts against these vulnerable components.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
102
Detects inbound network traffic originating from IP addresses known to be associated with exploitation attempts targeting the Elementor Pro CVE-2026-32475 vulnerability. This rule monitors for connections to internal network assets from these identified threat actor sources.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
002
Detects Server-Side Request Forgery (SSRF) attempts originating from the Grafana MCP (Model Context Protocol) process. The rule specifically monitors for instances where the 'grafana_api_request' tool is used in conjunction with a 'X-Grafana-URL' header targeting cloud metadata IP ranges (169.254.0.0/16), or where the host attempts to resolve GCP metadata domains ('metadata.google.internal'). This behavior is indicative of an attacker attempting to access cloud provider instance metadata to exfiltrate security credentials.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
001
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