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Daniel Jeremiah

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

978 detections

Targets symbolic link, junction, or reparse-point operations against Defender quarantine, platform, or scan paths. 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
001
Targets plain, encoded, double-encoded, and mixed-separator path traversal in a JRPC request. 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
001
This rule detects when a process other than Firefox itself attempts to access critical Firefox profile artifacts such as key4.db, cert9.db, logins.json, cookies.sqlite, places.sqlite, formhistory.sqlite, and prefs.js. This activity is highly suspicious as these files contain sensitive user data including credentials, browsing history, and preferences, and are typically targeted by malware for data exfiltration or credential theft. The rule leverages causality fields for investigation into the actor and the causal process.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
001
This rule detects JSON-RPC 'eth_call' usage originating from a non-browser process, which could indicate dynamic command or address resolution related to blockchain interactions. The XQL view retains actor and causality fields to aid in investigation.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
001
This rule detects network connections where the URL or remote IP address matches a specific pattern indicative of short-lived downloader URLs. These URLs typically contain paired tokens, numeric ticks, and a signature timestamp, often associated with malware distribution ecosystems. The rule leverages XQL to retain actor and causality fields for further investigation.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
001
This rule detects the execution of temporary executables (from common temporary directories like 'temp' or 'appdata\local\temp') that are launched with a command line containing a numeric argument followed by a long Base64-like token. This pattern is often indicative of malware loaders or droppers attempting to evade detection by using obfuscated arguments.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
001
This rule detects the presence of Remcos RAT by looking for specific strings in memory or files. It identifies a complex PowerShell command used for downloading and executing a base64-encoded payload, which is characteristic of Remcos RAT's infection chain. Additionally, it looks for specific file paths and other PowerShell-related strings often associated with Remcos RAT activity.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
001
This rule detects the execution of Windows system utilities (rundll32.exe, regsvr32.exe, msiexec.exe) with command-line arguments that suggest the loading of DLLs, CPLs, or MSIs, often associated with HR-themed lures (e.g., payroll, tax, resume) and originating from the Downloads folder. This behavior is indicative of a DLL loader being launched, potentially from a malicious archive.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
009
Detects Java or WebLogic processes spawning command interpreters on an application server, which may indicate successful remote code execution.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
001
Detects a remote access utility spawning command shells or script interpreters, indicating hands-on-keyboard activity through an RMM session.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
101
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