Detections

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

40,063 detections

Detects a sequence of suspicious process executions related to the 'RemoteAgent' application, specifically monitoring for MSI-based installations, NSSM service management, and API checks across a device. The rule aggregates distinct process events per device and flags if two or more distinct indicators are identified within a 14-day window.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects activity associated with a potential RMM (Remote Monitoring and Management) agent communicating with known malicious infrastructure and accessing sensitive files like credentials or IDs. This often indicates an adversary leveraging legitimate RMM tooling for post-compromise activity or exfiltration.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
Detects potential lateral movement or pivot attempts by correlating repeated failed RDP logons (RemoteInteractive) against sensitive targets (Domain Controllers, File Servers, Backup Servers) with concurrent security tool blocks (e.g., Microsoft Defender Antivirus, Exploit Guard) on the originating beachhead device within a 4-hour window.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
302
Detects instances where Python interpreters (python.exe or pythonw.exe) are executed from a subdirectory within ProgramData that matches a 32-hex character pattern, initiated by the 7zip archive utility (7za.exe). This pattern is indicative of a self-extracting archive or malicious installer unpacking and executing Python scripts in a stealthy, non-standard location.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
This rule detects the creation of a scheduled task using an XML definition located in the user's AppData\Local\Temp directory, which is a common staging location for malware. This event is correlated with subsequent high-frequency, short-lived execution of pythonw.exe using .pyw scripts, characteristic of automated implant persistence and re-launch mechanisms.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
002
This rule detects a malicious execution chain starting with an MSI file being launched by explorer.exe from user-downloaded folders. The installer spawns chrome.exe, drops a specific loader file (e.g., PavokwiLoader.exe or Loader.exe) into the %LOCALAPPDATA%\Temp\modules\ directory, and establishes persistence via the HKCU 'Load' registry value pointing to that location.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
102
Detects the installation of a potential remote monitoring and management (RMM) agent via common tools like msiexec, nssm, or sc.exe, followed by consistent HTTPS beaconing to domains hosted on Azurewebsites.net. This pattern is indicative of unauthorized remote access tools used for command and control.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
102
Detects a sequence where an AWS Secrets Manager secret is retrieved via CloudTrail, followed within 30 minutes by an EDR-monitored process initiating an outbound network connection on a non-standard port (not 80 or 443). This behavior is consistent with an adversary using stolen credentials to pivot into a persistent command-and-control channel.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects endpoint network activity characterized by a host connection to the Telegram Bot API followed by a connection to a Vercel-hosted domain within 30 minutes. This behavior is indicative of a multi-stage infection chain where adversaries use Telegram for command-and-control communication or victim validation, followed by the retrieval of malicious payloads or lures from disposable infrastructure like Vercel.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
103
This rule detects potentially malicious activity originating from Microsoft Word (WINWORD.EXE). It monitors for two specific patterns: the creation of script files (.bat, .vbs, .cmd) with GUID-based filenames in non-temp directories, and the creation or execution of files matching known malicious hashes associated with the Hookedge malware family.
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Arnold Chan@slaz
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Hunters
2 months ago
5049
Detects infostealer malware (e.g., Vidar, Lumma, RedLine) that specifically searches for Claude/Anthropic session cookies, API tokens, and generic browser-based credential storage artifacts.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects network activity associated with the JWR/Outsider phishing kit, which leverages legitimate e-commerce platform parameters (e.g., Shopify/WooCommerce 'cart_data') to mimic storefront infrastructure. The rule correlates requests containing these e-commerce parameters with the loading of the phishing kit's client-side engine scripts or WebSocket workers from the same host, indicating the use of a compromised or malicious storefront-mimicry domain.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects outbound network connections to known JWR phishing framework endpoints. The rule identifies suspicious interaction sequences, including initial beaconing via 'addClick' or 'getSyncSettings' followed by exfiltration of sensitive data (payment card info, OTPs) through POST requests to 'the_final_interface' or 'addCvv', or via a specific WebSocket channel pattern.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects a multi-stage local execution chain associated with the Mirage2FA malware. The activity begins with WinRAR extracting an HTML stager from an Outlook quarantine directory, followed by rundll32.exe invoking shell32.dll to open the stager, and concluding with a spawned Microsoft Edge process executing the local HTML file.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
103
Detects the initialization stage of a Mirage2FA phishing attack, characterized by the execution of a locally saved HTML file in a web browser, closely followed by an outbound network connection to the ipify.org API for victim IP geolocation and fingerprinting before the malicious sign-in page is rendered.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
103
Detects unauthorized or non-standard processes attempting to access sensitive browser cookie storage files, which is a common technique used by credential-stealing malware to exfiltrate session data and bypass multi-factor authentication.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
004
Detects a suspicious staging behavior associated with OnyxC2 premium-tier malware. The detection identifies a process respawning itself—a common precursor to hidden VNC or credential access activity—followed by the execution of Microsoft Edge with specific utility flags typically used to masquerade as an indexing component. This pattern is characteristic of techniques used to hijack authenticated browser sessions for C2 purposes.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects the execution of ServiceModelReg.exe from the standard .NET Framework directories. While this utility is a legitimate tool used for registering and configuring WCF components, its abuse has been observed in the wild by threat actors, including the OnyxC2 malware, to leverage built-in Windows utilities for suspicious activities.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects the presence of an OnyxC2 sideloaded DLL, identified by the filename 'borlndmm.dll', masquerading as an NVIDIA graphics library. The rule identifies suspicious files that are unusually large (50MB-200MB) with high entropy, suggesting an encrypted payload appended to the file. It also looks for associations with known loaders like 'ABRSubProcess.exe' or 'Setup_File_92.118.3096.exe' and the 'ACCA software S.p.A.' digital signature.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects instances where processes other than standard web browsers attempt to access sensitive browser data files, such as cookies, login data, and browser state files. This behavior is a common indicator of credential theft or browser session hijacking, often performed by stealer malware like OnyxC2.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
103
Detects instances where processes other than standard web browsers attempt to access sensitive browser data files, such as cookies, login data, and browser state files. This behavior is a common indicator of credential theft or browser session hijacking, often performed by stealer malware like OnyxC2.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
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