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
20,456
11,839
5,876
5,155
4,865
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 GET requests containing a .ps1 file extension in the URI, originating from a host without a specified User-Agent, and targeting domains other than Microsoft or Windows Update. This pattern is characteristic of a persistence mechanism executing a PowerShell script to download a secondary payload (e.g., via Net.WebClient).
Detects outbound network traffic to Microsoft Graph API originating from a user-agent string identified as 'python-httpx'. This behavior is characteristic of automated scripts or malicious tools using Python libraries to interact with Microsoft cloud services, potentially for data exfiltration or unauthorized API interaction.
Detects HTTP and TLS traffic patterns indicative of data exfiltration to Slack, specifically targeting hardcoded Slack API tokens, Slack channel IDs in HTTP request bodies, or traffic directed to hooks.slack.com, commonly associated with malicious npm packages.
Detects network traffic from internal hosts interacting with Ethereum Sepolia testnet contracts via common blockchain infrastructure providers (Alchemy, Infura) or JSON-RPC calls. These patterns are characteristic of 'indexed-btree' malware utilizing decentralized blockchain technology for command-and-control polling.
Detects HTTP POST requests containing potential credential exfiltration indicators, specifically targeting the '/google.php' endpoint with 'do=login&', 'user=', and 'pass=' parameters. This pattern is associated with FlowerStorm (Storm-1167) AiTM phishing kits.
Detection of known Cloudflare Workers subdomains used as dead-drop resolvers for C2 communication by the QUICSILVER QUICAgent malware. The rule monitors for specific DNS queries to resolve these domains and subsequent HTTP GET requests used to retrieve C2 instructions.
Detects network connection attempts to known typosquatted domains (thecovnresation.com/net) commonly associated with the CLEANGULP malware beaconing activity, specifically targeting the /beacon/pre-register URI path.
Detects network connection attempts to known typosquatted domains (thecovnresation.com/net) commonly associated with the CLEANGULP malware beaconing activity, specifically targeting the /beacon/pre-register URI path.
Detects an exploitation attempt against the SharePoint WebPartPagesWebService using the GetWebPartPageConnectionInfo method. The rule monitors for suspicious input patterns such as 'Register' and 'ignoreParentFrozen' within the URI query, which are indicative of a directive injection vulnerability.
Detects network activity associated with a VBScript-based dropper attempting to retrieve payloads from known malicious infrastructure (cdn.imageurlgenerator.com) or abusing legitimate file hosting services (filemail.com) to bypass traditional security filters.
Detects an attempt to exploit a quote-injection vulnerability within the SharePoint ToolPane.aspx page, specifically targeting the Register directive to bypass SafeControls restrictions. This pattern is commonly used for remote code execution or unauthorized application behavior modifications by manipulating server-side parsing.
Detects network activity associated with the ORAX control-plane panel and management service. The rule identifies HTTP traffic containing OraxManage or OraxRDP service strings, SignalR negotiate handshakes directed to common ORAX management ports, and connections to identified ORAX C2 infrastructure domains and IP addresses.
This rule detects interaction between an internal host and the Vapi.ai API, typically used for automating AI-based voice phishing (vishing) calls. It identifies the initiation of a call via POST requests to the Vapi.ai API and subsequent callbacks from Vapi.ai to an attacker-controlled webhook endpoint used for tracking call status.
This rule detects network activity associated with the GhostCode phishing kit. It monitors for sequential calls to the harvester backend (geoip, get_code, and poll) from specific suspicious hostnames, indicating a likely interaction between a victim and a credential harvesting landing page.
Detects a suspicious sequence of user activity where a device visits a social media platform (Twitter/X) followed shortly by navigation to a Google Doc. This pattern is often consistent with phishing lures where victims are enticed via direct messages or social engineering to open a malicious document hosted on Google Docs.
Detects network activity associated with the GhostCode phishing kit, including HTTP requests to specific access-prefixed subdomains and DNS lookups for those domains. Additionally, it detects HTTP responses containing specific spoofed browser tab titles often used in these phishing campaigns.
Detects network activity associated with the SilkParasite botnet. The rule identifies inbound/outbound HTTP heartbeat check-ins using a specific URI pattern (/ping?h=) and direct TCP connections to a known malicious C2 IP address.
Detects network activity associated with the Psychedelic Stealer malware command-and-control (C2) communication patterns. The rule identifies specific API endpoints used for task polling, heartbeat pings, check-ins, and task acknowledgement, as well as connections to a known malicious C2 infrastructure, all characterized by the presence of a specific 'X-API-Key' header.
Detects network activity associated with RatHat FRP (Fast Reverse Proxy), including configuration fetching, deployment notifications, and command-and-control handshakes. These rules monitor for specific HTTP API endpoints and TCP patterns used by the tool to establish unauthorized reverse tunnels.
Detects outbound network requests to Google Gemini AI API endpoints from processes that are not common web browsers or known development tools. This behavior is indicative of unauthorized use of LLM services by non-browser applications, such as the RatHat UI-automation module, for processing sensitive data or automation tasks.
Detects network traffic associated with the RatHat malware family, which leverages the Gemini API to perform automated UI navigation on Android devices. The rule identifies both the outgoing prompt containing UI analysis instructions and the corresponding incoming API response containing coordinate-based navigation instructions.
Page 41 of 202