Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,918 detections
Filters
Last updated
All Time
Detection languages
1,568
780
216
110
94
Contributors
703
507
419
236
211
Categories
20,456
11,839
5,876
5,155
4,865
2,918
Platforms
2,584
507
385
83
17
Products / Services
1,265
605
83
82
72
MITRE Techniques
841
797
582
344
307
CVEs
24
8
8
5
5
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.
Detects DLL sideloading activity associated with the 'Lorem Ipsum Loader' malware. The rule monitors for specific combinations of legitimate Windows binaries loading specific DLLs from non-system directories, a common technique to execute malicious code via trusted processes.
Detects known file hashes associated with SideCopy/ReverseRAT.
Detects known file hashes associated with SideCopy/ReverseRAT.
This rule monitors for indicators of compromise (IOCs) associated with the threat actor SideCopy and their associated malware, such as ReverseRAT. It hunts for specific malicious SHA256 file/process hashes, connections to known malicious C2 infrastructure (IPs and domains), requests to known malicious URLs, and user interaction with these URLs via email clicks.
This rule correlates multiple telemetry sources (File Events, Certificate Info, Network Events, and DNS Events) to detect known malicious indicators, including specific file hashes, IP addresses, domains, and URLs associated with malicious activity.
Detects a specific execution sequence associated with the SectopRAT loader. The rule identifies a process named 'ReportDump.exe' reading a payload file 'Activation.Desktop.db' and subsequently loading 'stp_aim_x64_vc15.dll', which is known to trigger malicious shellcode via an exported function.
This rule monitors for indicators of compromise (IOCs) associated with the Rapuncel/Cruciferra 'Bring Your Own Vulnerable Driver' (BYOVD) malware-as-a-service (MaaS) campaign. It detects malicious file hashes (associated with dropped binaries or drivers), connections to known malicious command-and-control (C2) IP addresses, and network requests to domains used by the infrastructure.
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.
Detects the ChainScript RAT, executing via a masqueraded Node.js process, enumerating Local Extension Settings for browser wallet plugins. This reconnaissance activity is a precursor to exfiltrating crypto wallet data.
KQL Query
Detects the presence or execution of artifacts associated with the TrustSink proof-of-concept (deploy.py, cleanup_eam.py, deploy_state.json), which is used to register or remove rogue Entra authentication providers.
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.
This rule detects potential web shells that employ steganographic techniques by embedding malicious executable script code within image file structures (JPG or PNG). It specifically flags files containing common web shell markers 'ONEPIECE' or 'x_best_911' in combination with embedded script tags (e.g., <script, eval, <%, <?php) within files identified as having image magic bytes.
Detects various indicators of compromise (IOCs) including known malicious file hashes, suspicious file names commonly associated with staging or initialization in web directories, and network communication to known malicious domains or URLs. It also monitors process execution command lines for references to these IOCs, excluding common browser processes.
Detects various indicators of compromise (IOCs) including known malicious file hashes, suspicious file names commonly associated with staging or initialization in web directories, and network communication to known malicious domains or URLs. It also monitors process execution command lines for references to these IOCs, excluding common browser processes.
This rule detects the suspicious copying of a Chromium-based browser 'Web Data' file (which stores sensitive information like saved passwords, credit cards, or address data) to a temporary file, followed by an outbound network connection to a specific exfiltration endpoint pattern within a 30-minute window.
Detects potential malicious activity where a process associated with a Claude agent (or a downloader utility) references a 'SKILL.md' configuration file. This behavior is indicative of a poisoned skill file being used to trigger unauthorized payload downloads or re-establish persistence.
Detects HTML files that employ FlipBook branding as a lure for password-gated smuggling. The detection identifies client-side JavaScript logic that uses PBKDF2 and AES-GCM to decrypt a hidden redirect URL after user interaction with a password prompt.
Detects removable-media/storage interaction events initiated by the PlugX side-loaded process chain (GRrte.exe / Jarte.exe), consistent with the PlugX core's drive-type query and removable-media ejection behavior (GetDriveTypeW / DeviceIoControl)
This rule detects unauthorized access, creation, or modification of Git credential files (.git-credentials, .netrc) by processes other than standard Git credential management utilities. It also monitors command-line activity that references these credential stores to identify potential attempts to exfiltrate or manipulate stored credentials.
Page 13 of 139



