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Arnold Chan

@slaz
Trusted contributorCompletionist
2 followers2,100 downloads4,386 copies51 likes26,185 views

7,555 detections

Detects shell/install scripts that deploy an XMRig-based Monero cryptominer, consistent with the install script planted on the LeakySensey git repository server
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
003
Detects a burst of new user account creation activity on a self-hosted git repository instance. This pattern is indicative of unauthorized mass account creation, potentially following an initial compromise or exploitation, which is often a precursor to further malicious activities like persistent access or unauthorized code access.
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Arnold Chan@slaz
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Hunters
2 months ago
003
Detects anomalous SSH authentication patterns characterized by a high volume of failed logon attempts (>= 10) originating from a specific IP address within a short timeframe (30 minutes), followed by a successful authentication to the same target device. This pattern is indicative of a successful credential brute-force or password guessing attack against an exposed SSH service.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
003
This rule detects the execution of processes associated with CLI proxy routers (such as CLIProxyAPI or router-for-me) that establish network connections to multiple AI provider APIs (e.g., Anthropic, OpenAI, Google Gemini) within a short window. This pattern is indicative of efforts to bypass rate-limiting or allowlisting mechanisms commonly used by corporate environments to control and audit AI service interactions.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
003
Detects high-volume filesystem activity (exceeding 300 operations in 5 minutes) initiated by 'claude-code' or 'claude' processes. This behavior may indicate an autonomous, patched, or jailbroken AI coding assistant performing mass file operations or reconnaissance without user confirmation.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
103
This rule detects high-frequency TCP SYN connection attempts originating from external networks targeting common administrative or tunneling ports (1723/PPTP, 1701/L2TP, 22/SSH) on internal systems. The detection uses a threshold of 100 connection attempts within 120 seconds, which is characteristic of automated reconnaissance and network scanning behavior.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
003
This rule monitors for user interactions with specific domains and URLs known to be associated with suspicious or malicious activity. It aggregates data from multiple sources, including email clicks (UrlClickEvents), device network activity (DeviceNetworkEvents), device browser events (DeviceEvents), and DNS queries (DnsEvents), to identify potential exposure to these indicators of compromise.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
105
Detects execution of potentially suspicious processes ('Launcher.exe' or 'GapiUpdate.exe') originating from ClickOnce-related processes ('dfsvc.exe' or 'rundll32.exe' with 'dfshim.dll'). ClickOnce is often abused to proxy execution of malicious code, allowing adversaries to execute applications from user-writable directories without administrative privileges.
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Arnold Chan@slaz
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Hunters
2 months ago
105
This rule detects potential command-and-control beaconing activity associated with the Go RAT used in the GapiUpdate campaign. It monitors for outbound network connections over TCP port 5556 to a known malicious C2 IP address, or alternatively, detects persistent outbound activity to other external (non-RFC1918) IP addresses characterized by multiple successive connections within a 10-minute window, which mimics the behavior of persistent beaconing.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
005
Correlates a successful OAuth device-code sign-in with a subsequent Device Registration Service event for the same user within 30 minutes, excluding known legitimate device-code applications (Azure CLI, Azure PowerShell, Visual Studio, VS Code) and requiring both events to have succeeded. The registration match is scoped strictly to the Device Registration Service resource (not the broader Microsoft Authentication Broker app, which fires on routine token refresh/broker activity unrelated to registering a new device). The correlation is further restricted to cases where the device-registration event originates from a different IP address or city than the original device-code sign-in -- the pattern expected when an attacker uses a stolen token to register their own device and mint a Primary Refresh Token, versus a legitimate user completing device enrollment from their own network shortly after a CLI/developer login.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
202
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