Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network indicators associated with the Exvicy/ErrTraffic 'ClickFix' campaign. The rule identifies the retrieval of malicious HTML lure templates from compromised WordPress sites and subsequent telemetry/registration calls to an attacker-controlled 'api.php' script, which are precursors to the fake Cloudflare Turnstile 'Win+R' execution sequence.
Detects instances where PowerShell processes initiate outbound WebDAV connections, potentially to download or stage malicious DLLs. The detection rule correlates network activity involving WebDAV indicators (e.g., DavWWWRoot) with subsequent local file creation events for DLL files within WebDAV-related folders.
Detects the registration or installation of an MCP (Model Context Protocol) server or agent tool containing suspicious prompt-injection strings (e.g., instructions to ignore safety guardrails or role overrides), immediately followed by the execution of shell commands or unauthorized network connections originating from that tool.
Detects outbound HTTPS connections to major generative AI inference endpoints originating from non-browser, non-development tool processes at regular intervals. This activity is indicative of beaconing behavior, where malware (specifically families like LAMEHUG) leverages LLM APIs for dynamic command generation, payload obfuscation, or C2 instruction retrieval, bypassing traditional security controls.
Detects network connections from server or workload identities (excluding SYSTEM) to known public Generative-AI inference API domains. This may indicate the use of AI services for data exfiltration, automated content generation, or C2 communication via legitimate web services.
Detects a two-stage activity: first, the potential unauthorized reading or access of LLM provider API keys from files, environment variables, or command-line arguments; and second, the subsequent use of those same credentials to authenticate to LLM provider APIs (OpenAI, Anthropic, Azure, Bedrock) from a different, unrecognized source IP address, indicating potential credential theft and session hijacking.
Detects instances where a suspected malicious loader initiates process hollowing or APC injection by launching trusted Windows binaries (e.g., LockAppHost.exe, makecab.exe, Magnify.exe) in a suspended state. The rule identifies suspicious post-injection behavior such as unexpected network connections or child process creation originating from these typically benign binaries, which is characteristic of the DeepLoad/ClickFix attack chain.
Detects network activity (DNS, TLS, HTTP) associated with suspected C2 infrastructure hosted on Cloudflare Workers, specifically identifying patterns consistent with trojanized authentication pages acting as browser-based C2 relays or WebRTC/WebSocket signaling channels.
Detects two-stage communication pattern used by the Lorem Ipsum Loader. The first stage involves a GET request to a specific host acting as a dead-drop resolver to retrieve configuration. The second stage involves a POST request to an external destination containing a JPEG file header, characteristic of image-based C2 traffic.
This rule detects DNS queries, TLS SNI, and HTTP requests to a list of known malicious domains associated with the STAC4924 threat activity, specifically linked to the TerminalFix or Lorem Ipsum Loader malware.
Detects a sequence of network events where a host downloads a portable Python embeddable package from python.org, followed by a subsequent attempt to establish a WebSocket connection. This pattern is indicative of potential command and control (C2) activity using a Python-based tunnel.
Detects HTTP(S) requests to known SideCopy/ReverseRAT payload-delivery URLs identified in Operation SideCopy spear-phishing campaigns targeting Indian academia.
This rule correlates multiple telemetry sources (File Events, Certificate Info, Network Events, and DNS Events) to detect known malicious indicators, including specific file hashes, IP addresses, domains, and URLs associated with malicious activity.
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.
This rule monitors for outbound TCP and HTTP traffic to a known malicious infrastructure hosting a fake or compromised 'Corp MDM' (Mobile Device Management) admin panel, which serves as a Command and Control (C2) channel for spyware.
Detects an Android device registration attempt to a known malicious C2 IP address using parameters characteristic of a mobile device management (MDM) implant. The rule looks for a POST request to a specific registration endpoint containing device identifiers like deviceId, manufacturer, model, and osVersion.
Detects specific C2 communication patterns associated with SCKIT, including HTTPS beaconing to the skyleen.fr domain and structured URI patterns used for configuration and status requests.
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 potential manual paste-and-run execution patterns where a shell or interpreter is launched directly from Windows Explorer (e.g., via the Run dialog or manual clipboard paste), correlated with either command-line references to or outbound network connections towards Cloudflare Tunnel services (trycloudflare.com, workers.dev). The rule specifically identifies one-off execution events by excluding cases where explorer.exe spawns multiple child processes simultaneously, indicating non-routine shell behavior.
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.
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