Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,664 detections
Filters
Last updated
All Time
Detection languages
713
605
71
56
52
Contributors
726
301
301
80
71
Categories
20,427
11,813
5,871
5,145
4,864
1,664
Platforms
1,485
238
159
39
18
Products / Services
644
258
183
65
49
MITRE Techniques
639
582
377
235
191
CVEs
6
5
5
5
4
IDS Classtypes
6
IDS Protocols
5
1
This rule monitors for known malicious indicators, including a specific file hash, a C2 IP address, a remote URL associated with potential malicious activity (anydesk.exe), and a domain associated with C3Pool crypto-mining activity, across device processes, network events, and file operations.
This rule identifies potential infections associated with the MacSync malware family by matching process, file, and network indicators (hashes, malicious domains, and specific payload URLs) against endpoint telemetry. It monitors for execution of known malicious binaries, file creation events, and communication with identified command-and-control infrastructure.
Detects Microsoft Installer (MSI) files associated with the psychedelic stealer malware family. The rule identifies MSI components that contain embedded paths to the psychedeliclove.exe payload, specific command and control IP/port combinations, and decoy file names (e.g., MsMpEng.exe or explorer.exe) used to disguise the malware installation or execution process.
Detects files, such as container image layers or extracted binaries, that contain a combination of CARBONATO botnet registry infrastructure artifacts and cryptocurrency wallet application strings. This indicates the presence of a trojanized wallet application originating from the CARBONATO operators' unauthenticated registry infrastructure.
Detects the first-stage loader DLL associated with the NeedyMantis actor, which masquerades as the WinSparkle.dll component used in Poedit software. This rule uses a specific SHA256 file hash to identify this malicious component.
Comprehensive IOC sweep across endpoint file/process/network telemetry for the full set of known SilkParasite/SpiceRAT/NodeEdgeRAT/NomadRAT/BloodAlchemy infrastructure indicators reported by Hunt.io and Security Affairs: all listed C2/decoy/certificate-hosting IPs, all listed spoofed/infrastructure domains, and known file/certificate hashes (SHA256, SHA1).
Detects unpacked Sauron Loader malware samples by identifying specific embedded configuration artifacts, including a fixed magic header value (0xbaadf00d), internal marker strings, and associated test identifiers for group and build IDs.
This rule detects various malicious indicators including known file hashes, IP addresses, domains, and specific URLs associated with threat activity. It consolidates hits from process, file, and network telemetry to alert on potential compromise or communication with identified command-and-control (C2) infrastructure.
Matches published SHA-256 hashes for the Kothamine Injector and Agent DLL, which drop MicrosoftEdgeUpdateCore.exe/.dll and inject into explorer.exe. Exact full-file SHA-256 match only, no fuzzy or partial matching, no additional PE structural checks.
Hunts telemetry for published NeedyMantis indicators: three known SHA-256 hashes (WinSparkle.dll first-stage loader and its encrypted archive, plus the older libcurl archive), the C2 domain corp.tripswithengine[.]com, and the C2 URL path /library/zip/ on that domain. Domain/URL matching parses the actual host out of RemoteUrl and requires an EXACT match (not substring 'has/contains'), so a different domain that merely contains 'corp.tripswithengine.com' as a suffix of a longer label (e.g. 'notcorp.tripswithengine.com') or as a prefix of an unrelated domain (e.g. 'corp.tripswithengine.com.evil.net') cannot match. No malicious IP address has been published for this campaign, so IP-based matching is intentionally not included.
Detects the execution of binaries that masquerade as legitimate Adobe-signed applications by running from non-standard locations, while simultaneously performing DLL side-loading by loading a malicious 'msvcp140.dll' from the same directory as the executable.
Detects the execution of a process from a non-standard writable directory (e.g., Temp, Downloads, AppData) which subsequently loads an unsigned DLL from the same directory within two minutes of process creation. This behavior is indicative of DLL side-loading, where an adversary uses a legitimate, potentially signed application to load a malicious DLL, bypassing security controls.
This rule performs a retrospective sweep for indicators of compromise (IOCs) associated with the 'CSuite' phishing and RMM (Remote Monitoring and Management) campaign. It monitors network, DNS, proxy, email, URL click, and file creation telemetry over the past 24 hours to identify interactions with known-malicious IP addresses, domains, URLs, and file hashes related to the campaign.
This rule performs a retrospective sweep for indicators of compromise (IOCs) associated with the 'CSuite' phishing and RMM (Remote Monitoring and Management) campaign. It monitors network, DNS, proxy, email, URL click, and file creation telemetry over the past 24 hours to identify interactions with known-malicious IP addresses, domains, URLs, and file hashes related to the campaign.
This rule monitors for execution of files with specific SHA256 hashes known to be malicious, and network connections to a known malicious domain associated with Vultr storage. It aggregates file creation, process execution, and network connection events to detect potential threat activity.
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.
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.
Matches distinctive DragonForce TURN/MQTT campaign artifact filenames only when combined with byte-level markers unique to the malware (PE structure, TURN/MQTT C2 infrastructure strings, or the loader's pipe-caret-pipe thread-trigger byte pattern), to avoid false positives on unrelated benign files sharing these names.
Matches distinctive DragonForce TURN/MQTT campaign artifact filenames only when combined with byte-level markers unique to the malware (PE structure, TURN/MQTT C2 infrastructure strings, or the loader's pipe-caret-pipe thread-trigger byte pattern), to avoid false positives on unrelated benign files sharing these names.
Detects the execution of control.exe with suspicious command-line arguments involving WebDAV paths (DavWWWRoot) and file extensions like .cpl or .dll, initiated by Windows task-related processes (svchost, taskeng, schtasks). This pattern is indicative of potential malicious payload loading or proxy execution where a scheduled task is used to trigger a secondary malicious component.
Detects the execution of control.exe with suspicious command-line arguments involving WebDAV paths (DavWWWRoot) and file extensions like .cpl or .dll, initiated by Windows task-related processes (svchost, taskeng, schtasks). This pattern is indicative of potential malicious payload loading or proxy execution where a scheduled task is used to trigger a secondary malicious component.
Page 9 of 80


