Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,594 detections
Filters
Last updated
All Time
Detection languages
2,463
65
36
12
11
Contributors
991
707
594
140
61
Categories
2,159
1,453
1,273
576
444
Platforms
2,418
272
203
71
63
Products / Services
10,665
9,773
6,705
4,421
3,749
2,594
MITRE Techniques
808
512
383
246
210
CVEs
18
12
12
12
10
IDS Classtypes
1,144
447
282
188
105
IDS Protocols
1,378
413
318
209
34
Detects DNS queries for domains ending in '.trycloudflare.com', which are commonly used to establish unauthorized remote access tunnels (Cloudflare Tunnel) by threat actors for C2 communication.
Detects HTTP PUT requests directed at Wasabi Cloud Storage domains that originate from an Rclone user agent. This pattern is commonly indicative of data exfiltration activities where an attacker uses the Rclone utility to synchronize or upload sensitive data to unauthorized cloud storage.
Detects a specific network handshake pattern (05 01 00) associated with the SystemBC malware acting as a SOCKS5 proxy. This pattern is characteristic of the initial communication phase used by SystemBC to establish C2 connectivity, often utilized by ransomware affiliates.
This rule detects outbound TCP traffic from internal network hosts to known Tor relay ports (9001, 9030), which is a common communication pattern for the NBLock ransomware strain to establish a command and control channel through the Tor network.
Detects HTTP traffic destined for the 1rpc.io Ethereum node gateway containing 'eth_call' in the request body, which is indicative of EtherRAT malware using blockchain infrastructure for command and control (C2) resolution.
Detects network traffic over SMB targeting the SYSVOL or NETLOGON network shares that includes the transfer or reference of common executable file extensions. This behavior is indicative of an adversary attempting to stage malicious payloads for deployment via Group Policy Objects (GPOs), a common method for lateral movement and persistence.
Detects HTTP traffic patterns associated with the Turla STOCKSTAY malware establishing a WebSocket connection to the known C2 domain 'wool-basalt-clock.glitch.me'. The rule monitors for a GET request containing specific HTTP headers (Upgrade: websocket) required for protocol switching to WebSocket, which is a common technique for establishing persistent C2 channels.
This rule detects attempts to exploit a path traversal vulnerability (CVE-2026-49506) in the Dell Wyse Management Suite API. The rule inspects HTTP requests for directory traversal sequences such as '..' or URL-encoded equivalents, which could allow an unauthorized attacker to access files or directories outside the intended scope on the web server.
Detects HTTP GET requests for specific malicious archives (calculator.rar, EditorToolsPdf.zip) originating from suspected compromised Ukrainian domains (basecon.com.ua, online.zp.ua). This behavior is associated with the STOCKSTAY malware used by the threat actor Turla.
This rule detects HTTP POST requests containing the specific string 'GEMINI_TRUST_WORKSPACE', which is associated with environment variable injection attacks targeting CI/CD pipeline configurations.
Detects HTTP traffic patterns associated with the Turla STOCKSTAY malware establishing a WebSocket connection to the known C2 domain 'wool-basalt-clock.glitch.me'. The rule monitors for a GET request containing specific HTTP headers (Upgrade: websocket) required for protocol switching to WebSocket, which is a common technique for establishing persistent C2 channels.
This rule detects potential Remote Code Execution (RCE) exploitation attempts targeting Dell Wyse Management Suite (WMS) by identifying abnormally large POST requests containing JSON payloads directed at specific management paths (/WMS/ or /wyse/). This behavior is indicative of an exploit attempt against CVE-2026-41120.
Detects HTTP traffic attempting to upgrade a connection to a WebSocket protocol directed towards the known Turla-associated command-and-control infrastructure 'driverx86-adobe.onrender.com'. This pattern is characteristic of the STOCKBROKER component within the STOCKSTAY malware framework, observed in recent phishing campaigns.
Detects anomalous HTTP GET requests targeting the ClawHub API for 'skills' that match known patterns of malicious file downloads, specifically identifying poc.py scripts or skill.md files which are indicative of the ClawHavoc campaign activity.
Detects HTTP response bodies containing common PE/Shellcode magic headers (MZ, PE, or NOP sleds) which are associated with the delivery of payloads designed to exploit or utilize the Windows KernelCallbackTable for process injection. The detection focuses on suspicious content delivered over HTTP connections.
Detects attempts to disable the Windows Firewall using the netsh command-line utility or PowerShell cmdlets, as well as registry modifications related to firewall profiles. Adversaries often perform this action to impair host-based security controls and facilitate unauthorized inbound or outbound network traffic.
Detects network traffic containing 'Active Setup', 'Installed Components', and 'StubPath' strings, which are indicative of a potential attempt to reference or trigger a malicious StubPath registry key for persistence.
This rule detects potential lateral movement attempts using Windows Remote Management (WinRM) by monitoring for specific WSMan SOAP protocol headers in HTTP traffic. It specifically looks for POST requests to the WSMan endpoint that contain suspicious keywords like 'winrs', 'MSRPC', or 's:Envelope', which are commonly associated with remote command execution via winrs or PSSession.
Detects HTTP traffic patterns consistent with data exfiltration to major cloud storage providers (AWS S3, Azure Blob Storage, Google Cloud Storage) using common command-line interface tools like rclone, aws-cli, and AzCopy.
Detects anomalous SMB traffic indicating potential ransomware activity. The rule monitors for file operations associated with known ransomware naming conventions (e.g., README.txt, DECRYPT_INSTRUCTIONS) or common ransomware-related extensions. It uses a threshold to identify high-frequency occurrences within a short timeframe, suggesting bulk file renaming or ransom note creation typical of encryption phases.
Detects outbound HTTP POST requests characterized by a specific URL pattern consisting of two segments of 4-16 alphanumeric characters, typically observed in Emotet C2 traffic. The rule specifically matches requests with a Content-Type header set to application/octet-stream, which is indicative of malicious binary payload transfer or communication.
Page 111 of 124