Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network activity indicating interaction with known Adversary-in-the-Middle (AiTM) phishing infrastructure. This includes direct outbound connections to specific suspicious IP addresses and the identification of proxied Microsoft 365 OAuth authorization flows redirected to non-Microsoft hosts.
This rule monitors outbound TLS traffic to detect communication with public Slack or Telegram webhook APIs, which are commonly abused by malware or malicious Node.js/npm packages for data exfiltration or command-and-control (C2) operations.
This rule detects potentially malicious Command and Control (C2) traffic utilizing DNS over HTTPS (DoH) to interact with public resolvers like Cloudflare, Google, and Quad9. It identifies both high-frequency, repeated direct-to-resolver TLS sessions and specific HTTP requests to these resolvers that resolve domains associated with known C2 infrastructure, such as the ClickFix campaign.
Detects the NeedyMantis main-component handshake: an HTTP GET to port 443 with a User-Agent that is EXACTLY the hard-coded literal 'firefox/21.0' (anchored start+end) and an explicit 'Upgrade: websocket' header, marking the HTTPS-to-WebSocket protocol switch used before the RC4 key exchange. Restricting to port 443 and requiring an exact (not substring) UA match removes generic WebSocket apps and any traffic where 'firefox/21.0' merely appears inside a real, longer browser UA string.
Detects HTTP responses containing a file named 'ClaudeDesktop.exe' served from paths containing '/artifacts/' on the 'claude.ai' host where the request referrer is not 'claude.ai' or 'anthropic.com', suggesting a malvertising or supply chain delivery attempt of a malicious installer.
Detects network traffic directed towards Telegram shortened URLs (t.me) which is a common command-and-control (C2) communication channel used by Vidar and other malware families to exfiltrate data or retrieve instructions.
Detects network activity associated with the ErrTraffic malware, specifically targeting JSON-RPC 'eth_call' requests to Polygon blockchain smart contracts used for C2 resolution and subsequent DNS queries to known malicious domains used for C2 infrastructure.
Detects outbound network traffic from internal hosts to known IP addresses associated with Exvicy Malware-as-a-Service (MaaS) Command and Control (C2) or hosting infrastructure. This rule acts as an indicator of compromise (IOC) match to identify potential infected hosts communicating with malicious external servers.
Detects HTTP POST requests to SharePoint ToolPane or WebPartPage endpoints containing serialized gadget chains (e.g., ysoserial ExpandedWrapper/ObjectDataProvider or XamlServices) indicative of deserialization exploitation attempts, specifically targeting CVE-2026-65660.
Detects DNS queries, HTTP requests, and TLS SNI traffic directed towards the domain 'cloudflare-check.net', which is associated with 'ClickFix' social engineering campaigns used to deceive users into executing malicious code.
This rule detects DNS queries, TLS Server Name Indication (SNI) lookups, and HTTP Host header requests directed towards a list of known domains associated with 'Exvicy' malicious activities (lure domains).
This rule detects HTTP POST requests indicative of the RevStealer malware interacting with a Polygon blockchain smart contract via a public RPC endpoint. The rule specifically looks for 'eth_call' JSON-RPC methods targeting a known malicious contract address and a specific function selector ('0xd8b0d6ad') often used in RevStealer's command-and-control failover operations.
Detects outbound HTTP POST requests associated with the VelvetCake malware and Konni threat actor to the command-and-control (C2) domain 'medianewsonline.com'. The rule matches specific URI patterns ('/logout.php') and query parameters ('OKey=', 'Who=', 'Areyou=') commonly used for reconnaissance and data exfiltration.
Detects RevStealer malware attempting to use blockchain infrastructure for C2 communication or failover. The rules identify specific 'eth_call' JSON-RPC method calls to Polygon smart contracts containing hardcoded indicators, as well as TLS connections to known public RPC providers used as fallback C2 infrastructure.
Detects outbound TCP traffic originating from the internal network destined for a known RMRLX RAT command and control (C2) server on port 4561. This signature identifies the client-side 'hello' beaconing behavior characteristic of this specific malware.
This rule detects outgoing HTTP POST requests that contain a ZIP file with a filename prefix of 'StolenData_' in the request body. This is a known behavior of the TokenGrabber stealer family, which exfiltrates collected victim data (e.g., browser credentials, session tokens) to a remote server, often via a Discord webhook or similar infrastructure.
Detects HTTP connections between internal hosts and suspected C2 infrastructure associated with the Operation SilkParasite campaign. The rule specifically monitors for connections to known malicious IPs and identifies the retrieval of a cloned RTX Corporation homepage content, which acts as a decoy for the SpiceRAT malware.
Detects network traffic involving TLS certificates or Server Name Indication (SNI) values that attempt to impersonate the Uzbekistan state railway authority (azure.uzrailwaystax.com). The rules also flag connections associated with certificates issued by 'TLC DV TLS CA' and known C2 infrastructure using the spoofed railway certificate.
Detects network communication with infrastructure identified as SilkParasite command and control by matching specific TLS certificate subjects and SHA-256 fingerprints associated with SpiceRAT.
This rule detects attempts to exploit CVE-2021-33044 in Dahua devices, specifically targeting the NetKeyboard clientType during the global.login RPC request. This vulnerability allows an unauthenticated remote attacker to bypass authentication mechanisms.
Detects outbound HTTP requests from endpoints to a known C2 infrastructure associated with mobile device spyware. The rule identifies two specific stages: polling for new commands using a GET request and posting command execution results using a POST request, both targeting an MDM-mimicking API structure.
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