Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects HTTP GET requests originating from internal network hosts to external destinations that match known Emotet C2 communication patterns, specifically those using hardcoded URI paths such as '/wp-content/', '/wp-admin/', or '/tmp/' combined with the 'Accept-Encoding: identity' header.
Detects outbound HTTPS traffic on non-standard ports that matches a specific JA3 fingerprint associated with the Sliver command and control framework. This indicates potential beaconing or C2 communication from a compromised host.
Detects outbound HTTP POST requests where the Content-Length is at least 10MB and the Content-Type header indicates the transfer of archived data (zip or x-tar). This pattern is often associated with the staging and exfiltration of compressed sensitive data from an internal host to an external network destination.
Detects network communication associated with AsyncRAT command-and-control activity. The rule identifies established outbound connections on non-standard ports (6606, 7707, 8808) containing a specific 3-byte null sequence header, which is indicative of AsyncRAT's communication protocol.
Detects the transmission of a Metasploit Meterpreter stage over HTTP, identified by an application/octet-stream response containing the DOS MZ header signature.
Detects anomalous outbound network connections from node.exe processes initiated by developer tools like VS Code, npm, or installation binaries. The rule specifically monitors for patterns indicative of Command and Control (C2) communication, including high-frequency Socket.io polling, WebSocket upgrades, and long-duration connections to external, non-private IP addresses.
This rule detects the execution of common scripting interpreters (powershell.exe, wscript.exe, cscript.exe, mshta.exe) where the command line arguments contain domains associated with the Dropbox API. This behavior is indicative of potential data exfiltration or the downloading of malicious payloads via a legitimate cloud storage service, a common technique for bypassing network filters and security controls.
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.
Detects a two-stage attack chain where a host downloads an image file from the network, followed by the execution of suspicious system binaries (e.g., mshta, powershell, rundll32). This pattern is characteristic of steganographic loaders like CloudEyE or DBatLoader used to extract and execute payloads like Remcos RAT.
This rule detects potentially malicious software supply chain attacks by identifying suspicious child processes spawned by package managers (pip, npm) or Python scripting engines within a short timeframe. It specifically looks for shells (cmd, powershell, bash, etc.) being invoked immediately after a package installation or script execution, and correlates this activity with suspicious outbound network connections originating from these processes.
Detects unauthorized access to sensitive cryptographic files, such as SSH private keys, GPG secret keys, or Windows certificate store files, by unauthorized or anomalous processes (specifically node/npm or processes within /tmp). This is followed by potential outbound exfiltration via an external network connection or the mass access of multiple sensitive files within a short timeframe.
Detects indicators associated with the deployment and execution of NetSupport RAT, including the launch of 'client32.exe', loading of the 'pcicl32.dll' module, outbound network connections, and the creation of the 'client.ini' configuration file. It also flags execution chains where 'client32.exe' is spawned by common browser or living-off-the-land processes.
Detects suspicious network connections or process activity targeting Discord webhooks or API endpoints, potentially indicating data exfiltration, command and control, or token validation by malicious actors. The rule specifically looks for non-Discord processes making these connections or using suspicious user agents.
Detects plaintext HTTP (no TLS) requests to known VPN Go campaign hosts, covering both the clipboard exfiltration endpoint and the /locations proxy-location endpoint. Useful where proxy logs carry the Host header.
Detects malicious activity associated with the TONResolver RAT, specifically the initiation of a system reconnaissance beacon containing host information and the establishment of registry-based persistence. The rule monitors for a node.exe process residing in a specific AppData path performing network communication and registry modifications to the HKCU Run key.
Detects outbound WebSocket connections on common web ports initiated by node.exe that do not originate from standard Node.js installation directories. This behavior is characteristic of the TONResolver RAT, which utilizes AES-256-CBC encrypted communication over WebSockets with a 20-second keepalive interval.
Detects network activity associated with the DcRAT trojan as identified in Operation DragonReturn. This includes outbound network connections to hardcoded C2 port 2671, connections to known malicious IP addresses, and DNS resolutions of identified attacker-controlled C2 domains.
This rule detects network events where a device attempts to access the Kubernetes API '/api/v1/namespaces/*/secrets' endpoint. This activity could indicate an attempt to enumerate or exfiltrate sensitive information (secrets) stored within Kubernetes, potentially by an attacker who has gained initial access to a pod or compromised a service account.
Detects potential exfiltration of sensitive M365 data via an SSRF vulnerability (CVE-2026-42824). The rule identifies suspicious outbound network requests to Bing's image search service where the 'imgurl' parameter contains external, non-Microsoft URLs, suggesting the service is being used as a proxy to exfiltrate data.
This rule detects endpoint DNS queries or network connections to the suspected phishing domain 'gasparinutrition.com' initiated by common web browsers or email clients. This provides visibility into potential user interaction with malicious sites that would otherwise be missed by email security gateways.
This rule detects potential Log4Shell (CVE-2021-44228) exploitation attempts by identifying JNDI injection patterns in web request headers, process command lines, and syslog messages. It further identifies suspicious outbound network callbacks to known malicious infrastructure associated with these exploitation attempts.
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