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Arnold Chan

@slaz
Trusted contributorCompletionist
2 followers1,966 downloads3,574 copies44 likes20,358 views

7,399 detections

This rule identifies potential phishing emails that impersonate OneDrive sharing notifications. It correlates email messages containing keywords typically associated with document sharing (e.g., 'OneDrive', 'shared', 'file') with subsequent user URL clicks. Crucially, the rule filters for clicks to domains that are not explicitly related to legitimate OneDrive, SharePoint, or 1drv.ms hosting, indicating a potential attempt to lure users to a malicious third-party site under the guise of file sharing.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
208
This rule detects network connections or DNS queries to known phishing domains (typosquatted Microsoft login domains), DeadDrop Resolver domains, and suspicious HTML payloads served from common CDN/package hosting sites (e.g., unpkg.com, npmmirror.com, cdn.jsdelivr.net, yarnpkg.com). These patterns are indicative of initial access attempts via phishing or the secondary stage of malware C2 communication.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
000
Detects high-frequency login attempts using the Dahua Easy4IP protocol. The rule flags multiple login opcode requests (identified by specific byte patterns 0xFF followed by 0x00A0) originating from the same source within a 60-second window, which is indicative of an automated brute-force or credential-stuffing attack targeting vulnerable IoT devices.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
000
This rule detects OAuth authorization requests (targeting Microsoft or Google identity providers) that use 'prompt=none' (silent authentication) and redirect the user to an unexpected or untrusted domain. This pattern is commonly used in OAuth consent phishing or token theft attacks, where an attacker attempts to silently acquire an authorization code by redirecting it to a malicious application server instead of the legitimate service provider's domain.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
608
Detects anomalous sign-in behavior shortly after a successful MFA-authenticated session in Microsoft 365. This rule flags scenarios where a subsequent session for the same user occurs within a short window (30 minutes) from a different IP, ASN, User-Agent, or device identifier, potentially indicating the replay of a stolen session cookie obtained via Adversary-in-the-Middle (AiTM) phishing.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
308
Detects attempts to modify, disable, or exclude paths and processes from Microsoft Defender Antivirus using legitimate administrative utilities such as PowerShell, cmd, sc, and netsh. This behavior is indicative of an adversary attempting to evade security monitoring.
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Arnold Chan@slaz
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Detections.ai Community
1 month 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
507
This rule identifies suspicious emails containing password-protected attachments or files often used to bypass email security gateways. It monitors for emails where the subject line includes password hints or keywords like 'protected' or 'secure', combined with the presence of attachments and URL-based links, which are common tactics in phishing campaigns to distribute malicious payloads.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
107
Detects signs of Adversary-in-the-Middle (AiTM) phishing kits by identifying sequential, rapid-fire attempts to authenticate using multiple distinct MFA methods (such as push notifications, TOTP codes, or SMS) within a single sign-in session. These attempts are combined with explicit failure states (rejected passwords, rejected codes, or denied MFA requests), suggesting an attacker is relaying authentication challenges in real-time to a victim.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
107
Detects the execution of known GoCaracal malware samples, identified by specific file hashes or staging file paths, occurring in conjunction with low-level keyboard hook installations using SetWindowsHookEx. This behavior is indicative of active keylogging activity.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
107
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