Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects anomalous DNS query activity that may indicate command and control (C2) or data exfiltration over the DNS protocol. It monitors for three specific indicators: excessive query volume to a single domain family within a short timeframe, the use of abnormally long DNS subdomain labels, and the transmission of TXT record queries from endpoints not acting as designated DNS servers.
Detects the execution of known network exploitation tools like Responder.py or MultiRelay.py, as well as unauthorized processes binding to ports used for LLMNR (UDP 5355) and NBT-NS (UDP 137), which are classic indicators of potential adversary-in-the-middle attacks.
Detects outbound network connections from internal hosts to domains associated with the Polymarket Trap / Miasma infostealer campaign, including dedicated servers (stitch-production.org, log-taker.store) and vercel.app serverless endpoints used for credential exfiltration.
This rule detects network connections or DNS queries related to the TON blockchain ecosystem, specifically targeting domains and API endpoints associated with TON network infrastructure. These communication patterns may indicate interaction with cryptocurrency-related services or potential malware utilizing TON-based infrastructure for command and control or data exfiltration.
This rule detects exploitation attempts targeting CVE-2026-0300 in Palo Alto Networks PAN-OS. It identifies suspicious network connections to User-ID Authentication Portal ports (6081, 6082) from external IP addresses, excluding RFC1918 and loopback ranges. Additionally, it looks for a specific anomalous User-Agent string associated with the CL-STA-1132 threat actor, which has been observed during exploitation of this vulnerability.
This rule detects exploitation attempts targeting CVE-2026-0300 in Palo Alto Networks PAN-OS. It identifies suspicious network connections to User-ID Authentication Portal ports (6081, 6082) from external IP addresses, excluding RFC1918 and loopback ranges. Additionally, it looks for a specific anomalous User-Agent string associated with the CL-STA-1132 threat actor, which has been observed during exploitation of this vulnerability.
Detects suspicious network traffic potentially associated with BeePRAT malware, identified by specific process image paths in temporary or TCC-related directories, connections to known malicious C2 IP addresses/ports, or non-standard TCP communication patterns involving suspicious domain queries.
This rule detects outbound network connections to a specific typosquatted domain 'perplexity-ai.online'. This domain is associated with a malicious browser extension designed to intercept and exfiltrate search queries before forwarding them to legitimate search providers.
This rule detects network activity and email signals associated with a malicious campaign promoting a fraudulent 'Perplexity AI' Chrome extension. It monitors for connections to known malicious Tilda landing pages, correlates these visits with subsequent Google Chrome extension (CRX) downloads within a 10-minute window, and identifies phishing emails containing links to these malicious pages.
Detects network activity associated with the Djinn Stealer malware, including connections to a known C2 IP address/port, the use of a specific 'telemetry-client/1.0' user agent, or HTTP POST requests to 'application/octet-stream' endpoints originating from suspicious parent processes such as SimpleHelp or TaskWeaver.
This rule monitors network traffic for the presence of the 'X-WebAuth-User' HTTP header, which is often used in authentication bypass scenarios. The rule specifically alerts when this header is present, especially if the username injected is 'admin', potentially indicating an attempt to impersonate a user or bypass authentication controls on exposed web services or proxy configurations.
Detects HTTP GET requests to the /api/device/gate/ path, a specific behavior associated with EvilTokens phishing kits. Attackers use this gate check endpoint to identify and potentially burn active phishing sessions for security researchers or automated scanners.
Detects potential exploitation of CVE-2026-20127 on SD-WAN controllers, specifically unauthorized SSH authentication to the vmanage-admin account followed by suspicious NETCONF activity, usage of unauthorized tenant list CSV files, or execution of suspicious tenant-upload scripts.
This rule monitors DNS query events for domains known to be associated with phishing campaigns, specifically those spoofing Microsoft or other common service brands. These domains are frequently used in credential harvesting attacks to lure users to malicious landing pages.
Detects network activity and command line execution associated with known malicious browser extensions, specifically targeting AdBlock for Youtube-related extensions and associated command-and-control infrastructure.
Detects web traffic containing HTTP 301/302 redirects to known cloud hosting platforms (Azure, AWS, Cloudflare) that exhibit suspicious URL patterns or originate from identified malicious referrers associated with phishing or credential harvesting campaigns.
This rule detects potentially malicious inbound HTTP POST requests directed at an API endpoint associated with public build directories. The detection logic monitors for suspicious user agents (e.g., Python requests), specific known malicious flow identifiers, known attacker IP addresses, and payload indicators such as OS command injection or execution patterns (e.g., __import__, os.system).
Detects the APT36 Ghazwa spyware (GPSSERV component) performing periodic, continuous exfiltration of GPS coordinates to a specific command-and-control port (18585). The rule identifies suspicious network traffic from non-navigation applications that have requested location permissions, filtering out known legitimate mapping services.
Detects HTTP and DNS requests directed towards the .workers.dev domain, which are commonly leveraged by threat actors for command and control (C2) redirection and domain fronting. This activity is frequently associated with the Gamaredon (Shuckworm/ACTINIUM) threat group's infrastructure.
Detects the RondoDox campaign's use of obfuscated JNDI payloads targeting the Log4Shell (CVE-2021-44228) vulnerability. The rule identifies attempts to spray malicious JNDI lookup strings like ${env:NaN:-j}ndi across multiple HTTP headers including Authorization, Bearer, Cookie, and others, specifically designed to bypass web application firewall (WAF) filters.
Detects Tycoon 2FA AitM using unique, high-entropy URL paths with low request counts
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