Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
4,866 detections
Filters
Last updated
All Time
Detection languages
1,757
1,593
604
243
199
Contributors
944
801
787
614
315
Categories
20,460
11,847
5,879
5,158
4,866
Platforms
3,711
737
612
405
100
Products / Services
1,458
648
498
272
235
MITRE Techniques
1,330
1,214
888
785
772
CVEs
7
5
5
5
5
IDS Classtypes
546
20
16
5
4
IDS Protocols
417
66
60
39
13
Detects malicious persistence activity on Android devices originating from an ADB or shell context (UID 2000). The rule monitors for a sequential pattern: the silent re-installation of the 'RatHat' APK package via 'pm install' commands, followed by the modification of system security settings to re-grant Accessibility Service permissions.
Detects network activity associated with the RatHat Android malware, specifically identifying C2 data exfiltration API calls over FRP (FRP/Go Agent) tunnels and WebSocket handshake traffic for command-and-control communication.
This rule monitors network, file, and process telemetry for matches against a predefined list of malicious IP addresses, domain names, and file hashes. It flags suspicious network connections to known C2 infrastructure and the presence or execution of known malicious files based on SHA256 and SHA1 indicators.
Detects a fake ClaudeDesktop.exe installer / tampered libcef.dll sideload chain deploying the SectopRAT .NET RAT, requiring multiple corroborating indicators and a PE anomaly consistent with DLL sideloading rather than a single generic string
Detects SectopRAT (Arechclient2) .NET RAT binaries deployed via tampered libcef.dll / JetBrains helper DLL sideloading that harvest browser credentials, cookies, credit card data, and files. Tightened to require combined sideload+family+target indicators plus .NET CLR import evidence, avoiding standalone generic strings.
Detects UNC6240 PSEMHUB.war web shell/tunnel/trojanized installer artifacts by distinctive content markers (x.jsp, u.jsp, tunnel.jsp/jspx, Ple64.exe)
Detects Neo-reGeorg tunnel.jsp/tunnel.jspx servlets used by UNC6240 to establish SOCKS5-over-HTTP(S) tunneling from compromised PeopleSoft PSEMHUB.war hosts
Detects the compiled x86/x64 fetch-decode-execute dispatch loop used by the Vidar Stealer custom VM bytecode interpreter (v2.0+). The rule identifies the structural jump-table bounds-check and computed-jump idiom that is consistent across different builds of the malware, despite randomization of opcode values and XOR keys.
Detects trojanized versions of Zoom installers that bundle legitimate application installers alongside malicious components including a VBScript persistence mechanism (OneDriveUpdateScheduler) and the VelvetCake PowerShell downloader/C2 framework.
Detects the WAV-based loader staging technique: a RIFF/WAVE file carrying a high-entropy appended blob, or a companion DLL chain (rdCore.dll/WMPCL.dll/WPFLocalizeExtension.dll) referencing the hidden audio payload and the encrypted monitor.raw container used to unpack the final RAT
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 the presence of an embedded word-to-hex lookup table within a PE file. This technique is used by the Lorem Ipsum Loader to store shellcode as plaintext English words to evade entropy-based detection and static analysis tools. The rule matches a dense sequence of lowercase words frequently found in these malicious loaders.
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 detects potential malicious activity by matching file hashes against a known list of malicious indicators and monitoring for suspicious network connections. The network monitoring includes connections to hardcoded malicious IP addresses, specific C2 URLs, and DNS queries for known fallback domains used in malicious infrastructure when the initiating process is not a recognized web browser or wallet application.
This rule detects potential malicious activity by matching file hashes against a known list of malicious indicators and monitoring for suspicious network connections. The network monitoring includes connections to hardcoded malicious IP addresses, specific C2 URLs, and DNS queries for known fallback domains used in malicious infrastructure when the initiating process is not a recognized web browser or wallet application.
Detects HTTP GET requests to external services 'trycloudflare.com' or 'workers.dev' that return a file content starting with the 'MZ' and 'PE' header signatures within the first 256 bytes, indicating a Windows executable payload download often associated with AvisLoader activity.
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 HTTP POST requests directed at common LLM API endpoints (chat completions, model beta) that contain patterns indicative of LLM prompt injection or malicious code generation requests, such as commands for code obfuscation or payload regeneration, specifically where the User-Agent does not match standard browser strings and the request body contains base64 encoded instructions.
Detects known components of the Sauron malware, including MSI installers, side-loaded executables (rnpkeys.exe), and malicious DLLs (rnp.dll, tdwp.dll) by matching known SHA-256 file hashes. It also includes a YARA rule for detecting PE binaries containing the string 'Sauron'.
Page 14 of 232