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Arnold Chan

@slaz
Trusted contributorCompletionist
2 followers2,099 downloads4,316 copies51 likes25,726 views

7,544 detections

Detects a high volume of outbound emails (more than 20 within a one-hour window) from a single sender containing the subject line 'Payment Transaction Failed Reminder', which is a common pattern for phishing or social engineering campaigns.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
000
This rule detects a high volume of inbound network connection attempts to the default Redis port (6379) originating from local loopback or local host addresses, excluding known legitimate Redis and web server processes. This activity is indicative of potential unauthorized access attempts or exploitation of local Redis instances.
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Arnold Chan@slaz
Defender - KQL
2 months ago
000
Detects the creation, modification, or renaming of files within directories associated with GVFS (GNOME Virtual File System) or files masquerading as GVFS components. Adversaries often use these paths and file names to stage or hide malicious tools and persistence mechanisms on Linux systems.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
Detects the presence of known StyleSmuggler implant binaries (noted as Rust-based implants masquerading as gvfsd-user or kworker) by matching file SHA256 hashes.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
Detects outbound network traffic associated with StyleSmuggler C2 infrastructure. The rule identifies established TLS connections to a known malicious IP address (99.84.67.186) and monitors for WebSocket-over-TLS traffic using the suspicious SNI 'windwsecurity.run'.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
000
This rule detects an unauthenticated exploitation attempt against Magento GraphQL endpoints, specifically targeting the 'styles' parameter. The attack pattern involves sending a malformed request to the /graphql endpoint with an 'X-TRACE-' header, which is indicative of the StyleSmuggler vulnerability exploit.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
Detects the presence of the StyleSmuggler Rust-based Linux implant. The rule identifies the malicious binary by its static SHA256 hashes or a combination of indicators including masquerading as a kernel thread, utilization of gvfsd-related filenames and directories, and interaction with Redis session data.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
This rule detects potential execution of malicious files from removable media (e.g., USB drives). It monitors for a sequence of events where a removable drive is mounted, a file is subsequently created on that drive, and then that same file is executed within a short time window.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
508
This rule monitors for web server exploit attempts (indicated by patterns like JNDI lookups or SQL injection sequences in URI/cookie data) that correlate with a surge in server-side errors (400+ status codes) and subsequent anomalous process creation or outbound network connections from the web server process.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
708
This rule detects high-frequency account and email address enumeration attempts. It monitors syslog data for SMTP commands such as VRFY, EXPN, or RCPT TO, and analyzes Microsoft Entra ID (SigninLogs) for authentication failures specifically associated with error code 50034 (user not found). Both behaviors are indicative of an adversary attempting to validate user identities within an environment, often as a precursor to targeted phishing or brute-force attacks.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
108
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