Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
4,230 detections
Filters
Last updated
All Time
Detection languages
2,175
1,018
354
260
212
Contributors
1,013
818
688
574
212
Categories
20,443
11,831
5,875
5,151
4,864
4,230
Platforms
2,933
889
585
248
198
Products / Services
2,239
1,453
841
416
344
MITRE Techniques
1,164
1,087
870
798
439
CVEs
22
20
20
18
17
IDS Classtypes
927
408
222
146
104
IDS Protocols
1,914
105
70
47
6
Detects outbound HTTP traffic from internal hosts directed toward a known IP address identified as hosting AdaptixC2 infrastructure, specifically associated with the distribution of a trojanized 'mscopilot.exe' executable.
Detects anomalous access to the SharePoint WebPartPages.asmx SOAP endpoint, specifically using the GetWebPartPageConnectionInfo method. This query identifies patterns consistent with the exploitation of CVE-2026-65660, where adversaries attempt to smuggle WebPart template markup (e.g., <%@ Register, XamlServices) after legitimate preview methods have been disabled.
Detects network traffic associated with Adversary-in-the-Middle (AiTM) phishing kits that impersonate Microsoft and Google login pages. The rules identify the presence of specific HTML elements (like Cloudflare Turnstile anti-bot gates) and authentication session cookie headers served from non-authorized/non-official domains, indicating a reverse-proxy phishing attack.
Detects potential exploitation attempts targeting the vulnerable Oracle PeopleSoft PSEMHUB Environment Management Hub endpoint (associated with CVE-2026-35273 and UNC6240). The rule identifies suspicious bursts of POST requests where the URI path uses percent-encoding or mixed-case characters to evade Web Application Firewall (WAF) filtering.
This rule detects attempts to exploit the Microsoft Support Diagnostic Tool (MSDT) vulnerability CVE-2022-30190, known as 'Follina'. The rules monitor for malicious HTTP traffic and payloads that leverage the 'ms-msdt' URI scheme to execute arbitrary commands, often delivered via weaponized documents or external references to remote malicious HTML files.
Detects attempts to exploit the Log4Shell vulnerability (CVE-2021-44228) by identifying JNDI lookups (ldap, rmi, dns) via malicious strings within HTTP URI and request headers, a common attack vector for remote code execution.
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.
Detects anomalous SOAP requests to the SharePoint WebPartPages.asmx endpoint specifically targeting the 'GetWebPartPageConnectionInfo' method. This pattern is associated with exploitation attempts against SharePoint vulnerabilities.
This rule monitors network connections initiated by common web browsers (chrome.exe, msedge.exe, brave.exe) to known domains associated with a specific VPN proxy service or subscription-based proxy farm infrastructure. The rule flags endpoints communicating with URLs involved in proxy beaconing, fallback hosting, and subscription API calls.
Detects anomalous network traffic patterns characteristic of SectopRAT, specifically utilizing Binance Smart Chain (BSC) RPC nodes to facilitate fallback Command and Control (C2) communication. The rule monitors for POST requests to known BSC data seed domains containing 'eth_call' in the body, specifically looking for START and FINISH markers in the response body.
Detects network activity associated with the RatHat Android malware, specifically tracking device registration, log uploads to '/api/node/', and subsequent WebSocket protocol upgrades used for command-and-control communications.
Detects network exploitation attempts targeting Fortinet FortiOS and FortiProxy vulnerabilities (CVE-2024-55591, CVE-2025-24472) involving authentication bypass via HTTP header manipulation (Forwarded, X-Forwarded-For) and unauthorized access to the /jsconsole endpoint.
This rule correlates web clicks on Google Sites URLs containing keywords related to GlobalProtect with the subsequent creation or renaming of an unsigned or improperly signed GlobalProtect.msi file on the same endpoint within a 30-minute window. This behavior is indicative of a spearphishing attempt using a masqueraded landing page to deliver malicious or unauthorized software.
Detects network activity associated with the APT36 threat group, specifically HTTP requests for PowerShell stagers (irm/iex) from 'indiatodays.org' and TLS connections to that same domain, which is identified as a typosquat used for command and control or ingress tool transfer.
Detects incoming HTTP GET requests containing a specific URI path '/favorite_list_2x_m500_ico.jpg' associated with the Ted Backdoor, commonly used by North Korean state-sponsored threat actors including APT37, Lazarus Group, and Kimsuky for Command and Control (C2) beaconing.
Detects HTTP GET requests to raw.githubusercontent.com that include an 'Authorization: token' header, indicating the potential use of a GitHub Personal Access Token (PAT) for command and control or data exfiltration by the Kimsuky threat group.
Detects outbound HTTP GET requests to Pastebin.com with a path starting with /raw/. This pattern is commonly used by threat actors, including the Kimsuky APT group, to retrieve secondary payloads, configuration files, or malicious scripts from a public repository.
Detects anomalous HTTP GET requests to the Microsoft Teams trap-exp/tokens endpoint that do not carry the expected 'Teams' user-agent string. This pattern is indicative of the DragonForce backdoor attempting to illicitly request Skype authentication tokens.
Detects anomalous HTTP GET requests to the Microsoft Teams trap-exp/tokens endpoint that do not carry the expected 'Teams' user-agent string. This pattern is indicative of the DragonForce backdoor attempting to illicitly request Skype authentication tokens.
Detects anomalous HTTP GET requests to the Microsoft Teams trap-exp/tokens endpoint that do not carry the expected 'Teams' user-agent string. This pattern is indicative of the DragonForce backdoor attempting to illicitly request Skype authentication tokens.
Detects a multi-stage exploit chain targeting iOS Safari clients, characterized by the sequential fetching of specific JavaScript modules (platform_module.js, utility_module.js, Stage1, Stage3, and bootstrap.dylib) and subsequent callback communication to a remote server. This pattern is consistent with a browser-based exploit framework targeting iOS devices.
Page 13 of 202