Detections

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

40,056 detections

Detects instances where a development-oriented web server (such as Vite or Node.js) is configured to bind to all network interfaces ('0.0.0.0') and is simultaneously receiving inbound connections from non-private, external IP addresses on a common development port (5173). This rule filters out common CI/CD environments to focus on potentially insecure exposure of development tools to the public internet.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
001
Detects instances where a development-oriented web server (such as Vite or Node.js) is configured to bind to all network interfaces ('0.0.0.0') and is simultaneously receiving inbound connections from non-private, external IP addresses on a common development port (5173). This rule filters out common CI/CD environments to focus on potentially insecure exposure of development tools to the public internet.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
101
This rule detects inbound HTTP requests targeting a Vite development server that attempt to access the '.env' configuration file via the '//@fs/' path, which is a known technique for sensitive file exposure in misconfigured Vite environments.
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Arnold Chan@slaz
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Hunters
2 months ago
001
This rule detects inbound HTTP requests targeting a Vite development server that attempt to access the '.env' configuration file via the '//@fs/' path, which is a known technique for sensitive file exposure in misconfigured Vite environments.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
001
This rule detects inbound HTTP requests targeting a Vite development server that attempt to access the '.env' configuration file via the '//@fs/' path, which is a known technique for sensitive file exposure in misconfigured Vite environments.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
001
Detects high-volume bursts of HTTP GET requests against specific paths associated with a Vite development server (/@vite/client, /@fs/, /src/) on port 5173. This pattern is indicative of automated reconnaissance or vulnerability scanning targeting an exposed development environment.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
001
Detects high-volume bursts of HTTP GET requests against specific paths associated with a Vite development server (/@vite/client, /@fs/, /src/) on port 5173. This pattern is indicative of automated reconnaissance or vulnerability scanning targeting an exposed development environment.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
001
Detects the execution of known Windows accessibility binaries (e.g., sethc.exe, utilman.exe) where the internal metadata or original filename indicates that the process is actually cmd.exe. This is a common technique used by adversaries to gain unauthenticated command-line access with SYSTEM privileges via accessibility features, typically during the login screen process.
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F S@Fsdr
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Detections.ai Community
2 months ago
207
This rule detects potential tampering with the Huorong security product by monitoring for specific process names (HipsTray.exe, HipsMain.exe, HipsDaemon.exe, wsctrlsvc.exe, TrafficProt.exe) interacting with suspicious API calls or command lines indicative of token privilege manipulation, service blinding, or security product disabling/downgrade.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
2 months ago
307
Detects the execution of suspicious commands via the Windows Explorer RunMRU registry key. RunMRU records commands previously entered in the 'Run' dialog box. Adversaries may use this mechanism to launch malicious scripts or tools (e.g., rundll32, powershell, pcalua) with potential arguments that include suspicious markers like '@ssl'.

RunMRU registry values containing rundll32, pcalua, powershell, or @SSL, indicating a user-pasted Run command
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H Fang@Fangtastic
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Detections.ai Community
2 months ago
10144
This rule detects the presence or execution of a file named 'GlobalProtect.exe' within the Palo Alto GlobalProtect directory. It focuses on identifying potentially masqueraded or unauthorized binaries by monitoring file events and associated process execution. This pattern is commonly used by attackers to disguise malicious files as legitimate security software to evade detection.
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Kaung Khant Ko@kaungkhantko
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Detection & Hunting Community
2 months ago
307
Detects network connections to known command and control (C2) infrastructure, including hardcoded malicious domains, specific C2 IP addresses, and suspicious GitHub access patterns by processes other than standard web browsers, which may indicate malicious ingress tool transfer or C2 communication.
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Ankit Mehta@Secvyn
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SlimKQL
2 months ago
705
This rule detects the use of package managers like 'pip' or 'npm' to install specific suspicious software packages or tools often associated with supply chain compromise or malicious library installation (e.g., 'huggingface-cli', 'unused-imports', 'react-codeshift').
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
2 months ago
205
Detects instances where VLC media player is launched from common temporary or untrusted directories (e.g., Downloads, Temp) with media files and subsequently crashes within a short window (2 minutes), as indicated by a corresponding werfault.exe error report. This behavior may indicate an attempt to exploit vulnerabilities within the VLC application by using a maliciously crafted file.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
102
Detects the creation of files named 'strEncodedData.txt' on the local file system. This naming convention is associated with the DarkTortilla RAT, which uses this specific file to stage encoded data prior to exfiltration or further processing.
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Georgios Maragos@Gmarak
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Detections.ai Community
2 months ago
107
This rule detects potentially malicious behavior by correlating intensive usage of graphics-related API calls (like BitBlt, GetDC, etc.) which are indicative of screen capture, with the execution of specific command identifiers typically associated with C2 (Command and Control) traffic. The combination suggests an adversary is capturing screen data and potentially staging or exfiltrating it via a C2 channel.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
000
This rule monitors for network connections to known command-and-control (C2) IP addresses and the execution or presence of files matching known hashes associated with the 'PhantomC2' threat group or malware family. It correlates data from DeviceNetworkEvents, DeviceFileEvents, and DeviceProcessEvents to identify potential compromise.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
001
Detects ClickFix-style social engineering attacks where users are prompted to copy and execute malicious commands in a shell environment. The rule triggers on process execution of terminal or shell binaries (zsh, sh, cmd.exe, powershell.exe) containing indicators of obfuscated execution or remote code downloading, such as piped shell commands (curl | sh/zsh) or PowerShell encoded command execution.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
000
Detects high-frequency screen capture activity by monitoring process module loads related to BitBlt, GDI32.dll, and explicit screen capture descriptions. This rule identifies sustained screen scraping behavior (50+ events within a 5-minute window) indicative of the SparroWocky malware surveillance module's screen monitoring functionality.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
000
This rule monitors Portable Executable (PE) files to identify those signed with certificates associated with Discord Inc. or Lenovo. Adversaries frequently abuse stolen or fraudulently obtained code-signing certificates from legitimate, reputable companies to bypass security controls like Windows SmartScreen, gain persistence, or increase the likelihood of successful malware execution.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
000
This rule monitors Portable Executable (PE) files to identify those signed with certificates associated with Discord Inc. or Lenovo. Adversaries frequently abuse stolen or fraudulently obtained code-signing certificates from legitimate, reputable companies to bypass security controls like Windows SmartScreen, gain persistence, or increase the likelihood of successful malware execution.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
000
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