Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

40,057 detections

Detects the installation or loading of a non-standard kernel driver followed by the termination of known security/EDR agent processes. This behavior is indicative of a 'Bring Your Own Vulnerable Driver' (BYOVD) attack, where attackers leverage kernel-level privileges from a vulnerable driver to bypass EDR protections and disable security tools prior to encryption or other malicious activities.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
104
Detects potential persistence attempts via registry modifications involving rundll32.exe. The rule monitors for two patterns: registry keys associated with shell commands for specific file types triggering rundll32.exe, and registry 'Run' keys using a 'Locked' value name with a custom URI handler, often indicative of malware or suspicious persistence mechanisms.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
2010
This rule correlates web clicks on Google Sites URLs containing keywords related to GlobalProtect with the subsequent creation or renaming of an unsigned or improperly signed GlobalProtect.msi file on the same endpoint within a 30-minute window. This behavior is indicative of a spearphishing attempt using a masqueraded landing page to deliver malicious or unauthorized software.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
103
Detection of common web server reconnaissance, enumeration, and brute-force patterns targeting IIS environments. This includes detection of short-name (~1) probes, WebDAV method usage, NTFS alternate data stream requests, and brute-force attempts on login endpoints originating from PowerShell user agents.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects unauthorized processes reading Chromium or Firefox cookie and login stores that specifically reference Claude.ai or Anthropic domains. This rule is designed to identify infostealer malware attempting to hijack active Claude sessions by analyzing process file access and command-line arguments, filtered against known-legitimate security, sync, and development tools. The detection logic mandates corroborating evidence of suspicious execution paths or subsequent outbound network activity.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
206
Detects a fake ClaudeDesktop.exe installer / tampered libcef.dll sideload chain deploying the SectopRAT .NET RAT, requiring multiple corroborating indicators and a PE anomaly consistent with DLL sideloading rather than a single generic string
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
006
Detects unauthorized processes accessing sensitive credential storage files (e.g., 'Login Data', 'Cookies', 'Local State') from known Chromium-based browser profile directories. This activity is indicative of credential harvesting by infostealer malware attempting to exfiltrate browser data before performing decryption.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
203
This rule detects the use of headless or automated web browser tooling (such as Selenium, Puppeteer, Playwright, or browser-specific drivers like chromedriver) establishing network connections to popular generative AI websites. This behavior can indicate automated interaction with AI services, potential data exfiltration of internal information, or unauthorized automation.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
515
This rule detects network connections from internal devices to a specific remote IP address (134.122.155.135) over port 443. This is characteristic of communication with a known or suspicious Command and Control (C2) server.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
102
This rule detects the creation or presence of specific file artifacts ('PDF_C2089_20260911100446.exe' and 'active_desktop_render_x64.dll') within the '\AppData\Microsoft\Update\' directory. These file names and paths are characteristic of potential malware staging or persistence mechanisms, specifically associated with the SilverFox threat activity.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
102
This rule detects the modification of Windows Registry Run keys, specifically targeting a value named 'MicrosoftUpdate' within the 'Run' registry path. This is a common persistence technique used by adversaries to ensure malicious programs or scripts automatically execute upon user logon by mimicking a legitimate system update process.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
102
This rule detects executable files (ending in .exe) executing from a specific subdirectory within the user's AppData path (\AppData\Microsoft\Update\). This path is often used by adversaries to masquerade malicious activity or persistence mechanisms as legitimate update processes. The rule excludes common system service accounts (SYSTEM, LOCAL SERVICE, NETWORK SERVICE) to reduce noise, focusing on processes initiated by user-level accounts.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
302
This rule detects the presence of command line artifacts, filenames, and strings associated with the SilverFox malware. These strings indicate the execution of a malicious desktop monitoring component ('active_desktop_launcher.exe') or the use of specific IPC/configuration markers ('@@RAPID_CFG_START@@') characteristic of this threat's tradecraft.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
This rule detects potential brute force or account compromise attempts by identifying user accounts that have successfully authenticated or initiated authentication events from two or more distinct IP addresses within the observed time window. It monitors Windows Event IDs 4624 (Successful Logon), 4648 (Logon attempted using explicit credentials), and 4776 (The domain controller attempted to validate the credentials for an account).
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
4157
This rule detects installation of known malicious npm packages associated with the PhantomSub campaign, which abuse WhatsApp spam channels. It also identifies network connections to known remote C2 channel-list URLs or domains used by these packages to automate channel joining.
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Arnold Chan@slaz
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Hunters
1 month ago
002
This rule detects installation of known malicious npm packages associated with the PhantomSub campaign, which abuse WhatsApp spam channels. It also identifies network connections to known remote C2 channel-list URLs or domains used by these packages to automate channel joining.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
102
This rule detects installation of known malicious npm packages associated with the PhantomSub campaign, which abuse WhatsApp spam channels. It also identifies network connections to known remote C2 channel-list URLs or domains used by these packages to automate channel joining.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
002
Detects a potential process hollowing technique where 'Finalized.dll' (loaded from unconventional locations like a ComponentsFolder or System32) is used to spawn 'clspack.exe' in a suspended state from a non-standard path (e.g., AppData\Microsoft). This sequence indicates an attempt to mask malicious execution under a legitimate process name.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
3011
Detects the use of the RpcRemoteFindFirstPrinterChangeNotificationEx function (opnum 58) on the Spoolss RPC interface. This function can be abused by attackers to coerce the Print Spooler service into authenticating against an attacker-controlled host via SMB, a technique commonly referred to as 'PrinterBug' or 'SpoolSample'. This authentication can subsequently be relayed to other services (such as AD CS or LDAP) to achieve privilege escalation.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
2 months ago
2030
This rule detects potential post-exploitation activity following a SharePoint XamlServices.Parse() deserialization attack. It monitors the w3wp.exe (IIS worker process) for the loading of suspicious .NET deserialization-related assemblies (e.g., System.Xaml.dll) followed by the execution of a shell process (cmd.exe, powershell.exe, etc.) within a short window, which is indicative of fileless web shell activity.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
9014
IOC hunt across DNS, network, and file-hash telemetry for the Ledger Google Ads phishing campaign. Vercel redirect domains are matched by exact hostname (DNS query name / parsed URL host) rather than substring, eliminating false positives from unrelated strings that merely contain a look-alike domain fragment. GCS bucket and Google Sites path IOCs remain substring-matched since the bucket IDs and page slugs are already highly specific.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
104
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