Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects outbound connections from internal devices to domains and IP addresses linked to the “SysScan” fake Microsoft security scanner campaign. These connections may indicate exposure to malicious infrastructure used for tricking victims into disabling legitimate antivirus solutions, as reported in recent threat intelligence.
This rule identifies potential phishing emails that impersonate OneDrive sharing notifications. It correlates email messages containing keywords typically associated with document sharing (e.g., 'OneDrive', 'shared', 'file') with subsequent user URL clicks. Crucially, the rule filters for clicks to domains that are not explicitly related to legitimate OneDrive, SharePoint, or 1drv.ms hosting, indicating a potential attempt to lure users to a malicious third-party site under the guise of file sharing.
Detects periodic TLS network beacons to external destinations on port 443, characteristic of the BridgeAgent malware. The rule identifies suspicious outbound connections that exhibit consistent, repetitive behavior patterns, potentially indicating C2 communication. It is recommended to correlate this network activity with EDR alerts focusing on masquerading processes, specifically instances where binaries like gnome-shell are running as root and persisted via service mechanisms like zabbix_agent.service.
Detects network activity initiated by the QUICAgent backdoor (Windowsupdate.exe), which is utilized for file exfiltration and payload delivery. The detection is triggered by identifying the specific file name 'Windowsupdate.exe' in conjunction with the known malicious SHA-256 hash associated with this backdoor.
Detects outbound HTTP GET/POST requests containing 'event=pasted' in the query string or URL, often directed at paths like '/api/metrics/run'. This pattern is associated with 'ClickFix' or 'AMOS' second-stage beaconing, where an adversary confirms a victim has successfully executed a social-engineered command (e.g., via copy-paste into a terminal) before proceeding with further payload delivery.
Detects command-and-control network traffic associated with the DEV#POPPER (Void Dokkaebi/Contagious Interview) RAT. The rule monitors for characteristic WebSocket heartbeat and notification calls to '/verify-human/' endpoints, data exfiltration requests to '/u/f', and outbound connections to known malicious C2 IP addresses.
Detects anomalous outbound network connections from the Grafana MCP (Model Context Protocol) server process to internal private IP address ranges. The rule compares current network activity against a 14-day baseline to filter out known data sources, identifying potentially unauthorized lateral movement or internal network probing via server-side request forgery (SSRF) vulnerabilities.
Detects anomalous outbound network connections from the Grafana MCP (Model Context Protocol) server process to internal private IP address ranges. The rule compares current network activity against a 14-day baseline to filter out known data sources, identifying potentially unauthorized lateral movement or internal network probing via server-side request forgery (SSRF) vulnerabilities.
Detects the SynkLoader RAT by identifying the pythonw.exe process loading a spoofed msvcp150.dll from a specific staging path (\fl\ang\), combined with correlative beaconing activity via repeated network connections to remote endpoints.
Detects outbound network traffic associated with StyleSmuggler C2 infrastructure. The rule identifies established TLS connections to a known malicious IP address (99.84.67.186) and monitors for WebSocket-over-TLS traffic using the suspicious SNI 'windwsecurity.run'.
This rule monitors for web server exploit attempts (indicated by patterns like JNDI lookups or SQL injection sequences in URI/cookie data) that correlate with a surge in server-side errors (400+ status codes) and subsequent anomalous process creation or outbound network connections from the web server process.
Detects network requests to unpkg.com or npmmirror for 'index.html' files directly under a package path. This behavior deviates from standard package management usage (which typically fetches tarballs or specific JavaScript modules) and is often associated with adversaries using npm packages as hosting infrastructure for phishing landing pages.
Pycodevx Rat C2 Beacon
YARA-L
Detects outbound HTTP(S) requests carrying the 'pyCodeVx', 'pyCodeV3', 'pyCodeV4', or 'NEWW' string marker in the URI, User-Agent, headers, or body, indicating beaconing by the pyCodeVx Python-based RAT (and its variants) to its command-and-control infrastructure
Detects suspicious processes executing from user-writable directories (Temp, AppData, Downloads) that are either unsigned or command-line focused on media capture (camera/microphone), while also loading media-related DLLs. The rule correlates this activity with potential spawned hidden UI processes (explorer/notepad) and AnyDesk remote access connectivity, which is a behavioral pattern indicative of remote monitoring or data exfiltration malware.
Detects suspicious processes executing from user-writable directories (Temp, AppData, Downloads) that are either unsigned or command-line focused on media capture (camera/microphone), while also loading media-related DLLs. The rule correlates this activity with potential spawned hidden UI processes (explorer/notepad) and AnyDesk remote access connectivity, which is a behavioral pattern indicative of remote monitoring or data exfiltration malware.
This rule detects command and control (C2) communication patterns utilized by the GoCaracal malware family, specifically its fallback mechanism which leverages Ethereum blockchain RPC calls (eth_getStorageAt) to interact with known malicious smart contracts or wallet addresses.
This rule detects suspicious file downloads initiated by common browsers from a specific remote domain ('reficon.pro') associated with '/vizio.com/'. It enriches this activity by checking for prior beaconing activity to 'stats.us3.org' (often used for Matomo analytics), which may indicate a multi-stage attack where an initial profiling beacon precedes a malicious payload download.
High-Entropy Subdomain AAAA Queries
Cortex XDR
Detects DNS queries using IPv6 (AAAA) records that contain high-entropy, long subdomain strings, which are indicative of DNS tunneling techniques. The rule specifically targets patterns similar to the HOLLOWGRAPH malware, which encodes data within subdomain labels to facilitate C2 communication.
This rule detects potential exploitation or unauthorized interaction with an HAProxy service. It correlates process execution on Linux systems involving the HAProxy PID file with subsequent network traffic containing the suspicious string 'writeservice_info' within a one-hour window.
Detects the specific execution pattern associated with CurlRAT, where common Linux daemons (crond, atd, agetty, polkitd) perform an outbound network connection and subsequently spawn an interactive shell (sh, bash, dash) as the root user within a 5-minute window.
Detects developer tooling processes such as Node.js, npm, and yarn—or processes spawned by code editors like VS Code and Cursor—establishing network connections to specific blockchain API endpoints (Tron, Binance Smart Chain, Aptos). This behavior is associated with the DEV#POPPER RAT, which utilizes these blockchain transaction channels to stage encrypted payloads and retrieve configuration keys.
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