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Daniel Jeremiah

@daniyyell
United KingdomTrusted contributorCompletionist
8 followers4,600 downloads2,430 copies68 likes128,310 views

978 detections

Detects collection of event log size, retention, record count, and audit policy categories to understand defensive visibility. This rule specifically looks for the execution of 'powershell.exe' with 'Get-WinEvent -ListLog Security' or 'auditpol.exe' with '/get /category' command-line arguments.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
0010
Detects a single source issuing at least eight HTTP PUT requests to five or more distinct Ghost Admin post objects within a ten-minute window. This activity is indicative of the Ghost ClickFix attack chain, which involves mass modification of blog posts.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
1010
Detects non-browser HTTP POST requests containing both 'access_token' and step-style parameters (e.g., 'step', 'stage', 'counter' followed by a number) in proxy or firewall telemetry. This rule specifically targets patterns associated with malware communication, such as SessionGate, Remus, or AnimateClipper, by excluding common browser user agents.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
1010
This rule detects suspicious update requests to the Ghost CMS Admin API that indicate an attempt at dynamic script injection. It specifically looks for PUT requests to `/ghost/api/admin/posts/` containing markers associated with Base64 decoding (`atob(`) and dynamic DOM manipulation (`appendChild`, `createElement`), or specific strings (`ghost_once_footer_`, `btoa(a.origin)`) known to be used in the Ghost ClickFix attack chain. This activity suggests an attacker is attempting to inject malicious JavaScript into Ghost CMS content, potentially leveraging a vulnerability like CVE-2026-26980.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
1010
This rule detects attempts to establish persistence for 'vds.exe' (Virtual Disk Service) by modifying the Image File Execution Options (IFEO) registry key to point its debugger to an executable located within the Windows Fonts directory. This technique is often used by adversaries to maintain access or elevate privileges, as the Fonts directory is typically writable by standard users and can be used to hide malicious executables.
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Daniel Jeremiah@daniyyell
Google SecOps
5 months ago
2013
Detects the execution of 'rundll32' attempting to load 'installer.dll' and invoke its 'Begin' export function. This activity is often associated with malware, specifically the Clickfix campaign, which uses PowerShell's 'Invoke-WebRequest' to download the DLL.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
0010
Detects an inbound policy-themed PDF attachment whose extracted URLs lead to a sign-in, authentication, review, or acknowledgement workflow outside the organisation. This rule specifically looks for PDF attachments in emails where the subject contains terms like 'code of conduct', 'policy', 'compliance', or 'handbook', and the extracted URLs within the PDF contain keywords such as 'login', 'signin', 'auth', 'review', or 'acknowledge'.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
107
Detects a Google account completing an OAuth or MFA challenge and then generating a new session from a different client fingerprint (different source IP or user agent) within a 10-minute window. This behavior can indicate a session hijack or an adversary bypassing MFA.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
007
Detects pip installing the benign-looking termncolor package together with colorinal. This dependency relationship was used to conceal delivery of platform-specific ZiChatBot droppers, as observed in campaigns attributed to OceanLotus (APT32). The rule specifically looks for command-line executions of pip or python with 'pip install' and the presence of 'termncolor', 'colorinal', or 'uuid32-utils' in the command line.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
118
Detects a non-interactive sign-in using an existing session shortly after the user completes interactive MFA, which can indicate stolen token replay. This rule identifies scenarios where a user successfully completes an interactive multi-factor authentication (MFA) sign-in, and then, within a short time frame (1800 seconds or 30 minutes), a non-interactive sign-in occurs for the same user and session ID. This pattern is indicative of a stolen session token being replayed by an attacker, bypassing subsequent MFA prompts.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
107
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