Detections

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

2,294 detections

Detects instances where a user account modifies sensitive payroll or banking information (e.g., direct deposit details) shortly after performing a sign-in from an unmanaged device or suspicious context. This behavior is indicative of an Adversary-in-the-Middle (AiTM) token replay attack targeting HR SaaS applications like Workday to perform financial fraud.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
1010
Detects the presence of malicious Chromium browser extension artifacts related to the 'Search for perplexity ai' extension. This extension abuses Manifest V3 declarativeNetRequest permissions (such as declarativeNetRequestFeedback and declarativeNetRequestWithHostAccess) to intercept and redirect network requests to the attacker-controlled domain 'perplexity-ai.online'. The rule specifically identifies the extension's rule resource files (e.g., perplexity-rules.json) and specific file paths associated with the extension ID.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
4010
This rule detects various Windows persistence and hijacking techniques by monitoring registry activity. Specifically, it identifies the manipulation of IFEO (Image File Execution Options) Debugger or GlobalFlag keys, HKCU COM class hijacking through InProcServer32 or LocalServer32, and the AppCertDlls registry value, which can be used to inject malicious code into processes.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
308
Detects malicious activity related to the 'RoguePlanet' exploit (referencing CVE-2026-50656) which involves manipulating NTFS junctions to redirect system file operations. The rule monitors for specific staging directory patterns (RP_<UUID>), the creation of named pipes associated with RoguePlanet, and the execution of suspicious binaries or staging of files in system paths.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
207
Detects suspected RomulusLoader activity by identifying the sideloading of 'vulkan-1.dll' from non-standard directories, the creation of encrypted 'vulkan-1.bin' payload files, and the loading of unsigned DLLs from user-writable directories (Temp/AppData) by otherwise signed processes.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
107
Detects BQTLock ransomware activity where the BQT.exe process accesses browser credential stores (Chrome, Firefox, Opera) and writes the extracted data to a temporary file at C:\Windows\Temp\bqt_passwords.txt.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
007
This rule detects the installation and configuration of the OpenSSH Server feature on Windows endpoints. It monitors for the use of Add-WindowsCapability to install the feature, administrative commands (net.exe, sc.exe) used to manage the sshd service, and the creation or modification of authorized_keys files, which are often used to maintain persistent, passwordless access to the system.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
107
Detects unauthorized file write or rename operations targeting core OpenSSH binary and library paths, excluding known package manager activities. This behavior is indicative of an adversary replacing legitimate system binaries to create a trojanized version of OpenSSH, as observed in the Velvet Ant 'Operation Highland' campaign, used to harvest credentials and log SSH sessions.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
007
Detects attempts to exploit the SystemInformer (formerly Process Hacker) service (phsvc) for local privilege escalation. The rule monitors for abnormal process spawning by rundll32.exe, the presence of specific PoC artifacts like 'phsvc_rundll_poc.dll', 'systeminformer_phsvc_poc.txt', or command-line arguments containing 'SYSTEMINFORMER_PHSVC_POC', and loading of DLLs from user-writable temporary directories.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
008
This rule detects the presence of files and processes associated with the 'Exploitarium' proof-of-concept (PoC) toolset. It monitors for specific filenames, process names, and path patterns linked to known harnesses, exploit scripts, and malware families commonly associated with the repository.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
209
Detects high-volume file writes or the use of common command-line copy utilities (xcopy, robocopy, copy) targeting removable drive paths (E-G:). This behavior is often indicative of data staging or exfiltration activities.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
007
Detects disguised malicious files, typically mimicking XML or MAP documents, that contain multiple PNG IDAT chunk markers but lack a valid PNG header and XML declaration. This signature is consistent with the HijackLoader staging technique, where XOR-encrypted and LZNT1-compressed data is hidden within the structure of spoofed file formats.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
This rule detects when a single process modifies or creates three or more YAML files ('.yaml' or '.yml' extensions) within folders containing 'config' or 'pipeline' in their path, within a one-hour window. This behavior could indicate an attacker modifying configuration or deployment files, potentially for persistence, defense evasion, or impact.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
007
This rule detects a high volume of file creation or modification events on removable media (e.g., USB drives). A count of 10 or more file operations within a one-hour window by a single initiating process account on paths containing 'USB' or 'Removable' is considered suspicious and may indicate data exfiltration or staging.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
107
Detects instances where the Claude Code AI agent or its subprocesses are used to establish persistence. This is achieved by monitoring for crontab modifications or direct writes to SSH authorized_keys files, which are common indicators of post-exploitation activity following an Axiom-style indirect prompt injection.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
109
This rule detects potential ransomware or remote access trojan (RAT) activity by identifying either specific command-line indicators (/encrypt, /decrypt) or a high volume of file modifications (create, modify, or rename) across multiple directories within a short time frame, which is characteristic of mass file encryption operations.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
204
Detects unauthorized modifications to the 'system.conf' configuration file associated with the AnyDesk remote desktop application. Adversaries may modify this file to change AnyDesk settings, specifically to suppress the requirement for user consent when establishing remote interactive sessions, effectively allowing for stealthy persistence and unauthorized remote access.
Aaron etr@sertg
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Detections.ai Community
4 months ago
000
Detects the creation or modification of a file named 'maisum.dat' on endpoint devices. This filename is often associated with malicious activity, including malware persistence or configuration staging, and warrants investigation to determine the nature of the file and the process that created it.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
004
Detects the creation, modification, or renaming of a specific property list file ('com.apple.system.services.activity') within the macOS LaunchAgents directory, a common technique used by attackers to maintain persistence on compromised systems.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
104
Detects the 'codesign' utility being invoked with flags '-fs' (force sign) and '--deep' (recursively sign) triggered by a shell process spawned from 'Script Editor'. This pattern is often used to bypass macOS Gatekeeper or attempt to re-sign malicious applications after tampering.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
201
Detects the use of 'codesign' by 'Script Editor' on macOS to sign files within the '/Library/Application Support/' directory. This behavior is indicative of potential malicious activity, such as attempting to bypass Gatekeeper or signing tampered application files to maintain persistence or evade security controls.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
101
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