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Daniel Jeremiah

@daniyyell
United KingdomTrusted contributorCompletionist
8 followers4,600 downloads2,430 copies68 likes128,312 views

978 detections

Targets high-volume account failures followed by a successful tunnel or portal authentication. The UDM rule retains principal and target context for correlation.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
206
Targets anomalous Netlogon or CLDAP traffic followed by LSASS termination or domain-controller restart indicators. The UDM rule retains principal and target context for correlation.
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Daniel Jeremiah@daniyyell
Google SecOps
5 months ago
406
Targets high-volume account failures followed by a successful tunnel or portal authentication. The UDM rule retains principal and target context for correlation.
avatar
Daniel Jeremiah@daniyyell
Google SecOps
5 months ago
406
Detects systematic enumeration of application registrations, owners, credentials, and permissions through Microsoft Graph. This rule identifies suspicious activity where a user or application makes a high volume of GET requests to various Microsoft Graph API endpoints related to application registrations within a short time frame (15 minutes). The specific endpoints monitored include those for listing applications, owners, password credentials, key credentials, and required resource access. A threshold of 40 requests within a 15-minute window triggers the alert, indicating potential reconnaissance or inventory collection by an adversary.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
114
Detects a DAEMON Tools helper process launching cmd.exe and PowerShell with WebClient or DownloadFile methods. The process ancestry is unusual for disk-emulation software and matches the compromised update chain.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
004
This rule detects command-line activity that searches for sensitive information within browser extension storage, specifically targeting data related to cryptocurrency wallets, password managers, or authenticator applications. It looks for commands executed by common interpreters like cmd, PowerShell, or Python that include keywords associated with extensions and sensitive data like 'wallet', 'metamask', 'password', 'authenticator', '2fa', or 'crypto'. The rule is designed to provide causality and actor information for investigation.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
106
This rule targets high-volume account failures followed by a successful tunnel or portal authentication on SSL VPNs. It aims to detect password spraying attacks that eventually lead to a successful login, providing causality fields for investigation.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
306
This rule detects suspicious executable or DLL file creations in common temporary or user-writable directories shortly after a Microsoft Defender related process (MsMpEng, Nissrv, Werfault, Services) terminates unexpectedly. The rule focuses on the causality chain to link the Defender crash with the subsequent file placement, suggesting an attempt to bypass or disable security software before deploying malicious payloads.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
006
This rule detects attempts to create symbolic links, junctions, or reparse points that target Microsoft Defender directories such as quarantine, platform, or scan paths. Adversaries may use these techniques to interfere with security tools, evade detection, or manipulate how Defender processes files.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
006
This YARA rule detects the Nimplant malware, a lightweight C2 framework. It identifies Nimplant by looking for specific DLL and library names (some with common typos), a comprehensive list of Nim-related source file names often found in Nimplant builds, specific hexadecimal patterns corresponding to Windows API calls (like GetComputerNameW, CreateProcess, GetUserNameW, OpenProcessToken, CreateFileA, VirtualProtect, CreateToolhelp32, WinHttpConnect), Zlib compression patterns, TLS callback patterns, and various strings including registry keys and a version string for Nimplant itself. The rule aims to identify Nimplant executables or related artifacts on Windows systems.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
006
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