Detections

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

2,918 detections

This rule detects activity involving known malicious indicators of compromise (IOCs), including specific IP addresses, domains, and file hashes. It monitors network connections, file system activity, process execution, and email attachments, filtering out common security tools to reduce noise.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
204
Detects execution of potentially malicious or dual-use tools (such as credential dumpers or security-bypass utilities) from within ScreenConnect temporary directories via the 'RunFile' command. This is indicative of an attacker leveraging legitimate remote support software to deploy secondary payloads.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
104
Detects instances where a browser extension is installed, followed within a two-hour window by the browser process making network connections to generative AI service domains. This behavior is indicative of potential malicious browser extension activity, such as scraping or exfiltrating session/browsing data to third-party AI backend services.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
3010
This rule monitors for various indicators of compromise (IOCs) including malicious domains, IP addresses, specific URI paths, file names, and file hashes. It aggregates telemetry from network, file, process, and certificate events to detect potential threats interacting with known bad infrastructure or executing suspicious files associated with malware campaigns.
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Ankit Mehta@Secvyn
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Detections.ai Community
30 days ago
203
Sweeps DeviceFileEvents, DeviceProcessEvents, and DeviceNetworkEvents over a rolling 30-day window for known RevStealer indicators: exact SHA-256 matches against all 13 published file hashes, and exact-host matches (via parsed URL host, not substring) against the confirmed C2 domain meta7.archscreen68.one. An empty, extensible IP list is included for when a malicious IP is published.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
104
This rule monitors for network communication with known malicious infrastructure (IPs/domains) and the execution of specific suspicious file names. It correlates device network events, file system activity, and process execution, specifically flagging attempts to execute MSI installers or other binaries associated with the identified threat indicators.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
204
Detects usage of the Rclone utility (or renamed binaries) to transfer data to various cloud storage backends (S3, Mega, pCloud, SFTP, WebDAV). The detection correlates this activity with the execution of common archival tools (7-Zip, WinRAR, TAR) within one hour prior to the data transfer, which is a common behavior of adversaries preparing data for exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
303
This rule detects file and process activity originating from or involving specific directories and filenames associated with 'Agta' software, including temporary files such as PowerShell scripts and XML tasks. This behavior is indicative of potential unauthorized use of backup or testing utilities for malicious purposes, such as script execution or task manipulation.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
404
Detects endpoint, process, and network activity associated with the 'TaskStomp' threat actor, specifically targeting known malicious file hashes, command-and-control domains, and specific URLs used in their campaigns.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
13036
Detects potential ransomware activity characterized by the mass renaming of files with specific extensions (.locked, .locked_wip) or the creation of known ransomware note filenames (RESTORE_FILES.txt) on a Windows system.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
104
Detects the execution of msiexec.exe where the process image is located in the user's local AppData directory under specific suspicious folder names. This behavior is indicative of a user-land installer or potential malware attempting to maintain persistence or execute malicious packages while masquerading as common applications.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
204
Detects the loading of known DLLs (WinSparkle.dll, libcurl.dll, vim64.dll, dbghelp.dll, jli.dll, nvml.dll) from suspicious or non-standard file paths. The rule cross-references these image loads with file activity, identifying potential side-loading scenarios where a library is loaded from an unexpected directory or within an archive-related context. It also includes an explicit hash-based detection for a known malicious file.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
004
Detects evidence of potential adversarial interference with Windows Defender updates and MRT.exe (Malicious Software Removal Tool). The rule correlates high volumes of temporary file creation in user directories with unauthorized access to MRT.exe by third-party processes and repeated Windows Defender update failures, indicating a potential attempt to disrupt endpoint security operations.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
16137
Detects the presence of known SHA256 hashes associated with the 'ccrtc' planter PowerShell scripts and C2 SDK JavaScript components. These files were identified as being dropped into 'C:\Windows\Temp' during the STAC4924 webshell intrusion campaign.
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Ibrahim Saud@tektrix
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Detections.ai Community
29 days ago
002
This rule performs a retrospective sweep for indicators of compromise (IOCs) associated with the DragonForce TURN/MQTT campaign, as detailed in Lab52 threat research. It monitors for file and process activity matching known malicious hashes, as well as network connections to specific domains and URLs associated with the campaign's command-and-control infrastructure.
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Arnold Chan@slaz
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Midnight Slayer
27 days ago
001
Detects a specific persistence chain attributed to DragonForce where the 'javaw.exe' process side-loads a malicious 'jli.dll' from a non-standard, user-writable directory. The rule correlates this DLL image load with the subsequent reading of an encrypted, host-bound payload file ('rvsdiqw.txt') by the same process, which is then decrypted and injected into memory.
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Arnold Chan@slaz
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Hunters
27 days ago
001
Detects a specific persistence chain attributed to DragonForce where the 'javaw.exe' process side-loads a malicious 'jli.dll' from a non-standard, user-writable directory. The rule correlates this DLL image load with the subsequent reading of an encrypted, host-bound payload file ('rvsdiqw.txt') by the same process, which is then decrypted and injected into memory.
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Arnold Chan@slaz
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Detection & Hunting Community
27 days ago
001
Detects a specific persistence chain attributed to DragonForce where the 'javaw.exe' process side-loads a malicious 'jli.dll' from a non-standard, user-writable directory. The rule correlates this DLL image load with the subsequent reading of an encrypted, host-bound payload file ('rvsdiqw.txt') by the same process, which is then decrypted and injected into memory.
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Arnold Chan@slaz
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Midnight Slayer
27 days ago
001
This rule performs a retrospective sweep across Microsoft Defender XDR data sources (DeviceFileEvents, DeviceProcessEvents, DeviceNetworkEvents, and EmailEvents) to identify activity associated with the Star Blizzard (COLDRIVER) campaign. It monitors for specific file hashes, file names, known C2 IP addresses and domains, malicious URL patterns, and known phishing email sender addresses identified in threat intelligence reporting.
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Arnold Chan@slaz
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Detection & Hunting Community
27 days ago
001
This rule performs a retrospective sweep across Microsoft Defender XDR data sources (DeviceFileEvents, DeviceProcessEvents, DeviceNetworkEvents, and EmailEvents) to identify activity associated with the Star Blizzard (COLDRIVER) campaign. It monitors for specific file hashes, file names, known C2 IP addresses and domains, malicious URL patterns, and known phishing email sender addresses identified in threat intelligence reporting.
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Arnold Chan@slaz
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Detections.ai Community
27 days ago
001
This rule performs a multi-source correlation (network, DNS, file, and process telemetry) to detect artifacts associated with the Coruna campaign. It looks for known malicious file hashes (SHA1), C2 IP addresses, and specific domain/URL patterns in process command lines and network connections.
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Arnold Chan@slaz
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Midnight Slayer
27 days ago
001
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