Arnold Chan
@slazTrusted contributorCompletionist
2 followers2,100 downloads4,386 copies51 likes26,184 views
7,555 detections
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1,006
394
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1,807
1,233
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924
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4,191
1,622
1,250
676
676
Products / Services
2,820
1,003
991
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485
MITRE Techniques
2,087
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38
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IDS Classtypes
477
179
104
79
52
IDS Protocols
554
156
144
86
18
This rule detects various event types (email, identity authentication, network connections, and cloud audit logs) originating from or interacting with the specific IP address range 160.79.104.0/22 to 160.79.111.0/22, which is associated with known malicious activity.
Detects the use of PowerShell cmdlets such as Invoke-WmiMethod, Invoke-CimMethod, Get-CimInstance, or Get-WmiObject to interact with the Win32_Process class for process creation on local or remote systems. This behavior is frequently associated with administrative activity but is also commonly used by adversaries for remote command execution and lateral movement.
Detects anomalous serialized object payloads within authenticated GraphQL subscription requests to GitLab Duo Chat endpoints. This pattern is indicative of exploitation attempts targeting the insecure deserialization vulnerability in GitLab EE (CVE-2026-87719), where malicious payloads are injected into serialized data streams.
Detects high-frequency access to 'about' pages from a single IP address, indicative of potential reconnaissance or information gathering on an organization's public-facing infrastructure. The rule filters out common search engine crawlers and triggers only when a significant number of distinct pages are requested within a short timeframe.
Detects high-frequency access to 'about' pages from a single IP address, indicative of potential reconnaissance or information gathering on an organization's public-facing infrastructure. The rule filters out common search engine crawlers and triggers only when a significant number of distinct pages are requested within a short timeframe.
Detects unauthenticated path traversal attempts targeting the GitLab repository commits API, specifically checking for URL-encoded and plain path traversal patterns (e.g., '../') in requests to the commits endpoint. This behavior is indicative of attempts to exploit vulnerabilities like CVE-2026-85706 to read arbitrary files outside the repository scope.
Detects anomalous, high-frequency access to LinkedIn 'about' pages, which may indicate reconnaissance activity or attempts to gather sensitive organizational information by an adversary. The rule uses threshold-based aggregation to filter out standard search engine crawlers and identify potentially malicious scanning behavior.
Detects anomalous, high-frequency access to LinkedIn 'about' pages, which may indicate reconnaissance activity or attempts to gather sensitive organizational information by an adversary. The rule uses threshold-based aggregation to filter out standard search engine crawlers and identify potentially malicious scanning behavior.
Detects anomalous, high-frequency access to LinkedIn 'about' pages, which may indicate reconnaissance activity or attempts to gather sensitive organizational information by an adversary. The rule uses threshold-based aggregation to filter out standard search engine crawlers and identify potentially malicious scanning behavior.
This rule monitors network connections and DNS query responses for activity associated with known suspicious domains: 'getmacouscloud.com', 'ferncore13.com', and 'grove-89.com'. It identifies communication attempts (successes, failures, or DNS lookups) between endpoints and these domains, which is indicative of potential command and control (C2) activity.
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