Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network traffic patterns associated with the ORAX/OraxRDP AiTM (Adversary-in-the-Middle) phishing toolkit. The rule monitors for specific SignalR WebSocket upgrade requests and session-related GraphQL commands (such as MirrorChallenge, Init, and Input) used to facilitate MFA relay and web session hijacking.
Detects network indicators associated with the ORAX Phishing-as-a-Service (PhaaS) platform. This includes patterns for emoji-matching CAPTCHAs, spoofed Cloudflare security pages, specific wildcard subdomain DNS queries, and the use of anti-analysis gate sequences to prevent sandbox inspection.
Detects network communication to a suspicious staging domain (pdf.gusercontent.com) that mimics legitimate services. This traffic is associated with the 'onInstalled' event handler of a malicious browser extension, often used to signal a successful infection or initiate secondary payload delivery.
Detects network indicators and session patterns associated with the JWR Phishing Framework, specifically targeting its WebSocket-based command and control (C2) communication, client engine (main.js/ws-worker.js) retrieval, and unique session token (JWRCVV) usage.
This rule detects access to known malicious domains used in vishing-themed Adversary-in-the-Middle (AiTM) phishing campaigns. Attackers use these domains to deceive users into providing MFA credentials or session tokens, often following a voice phishing interaction where victims are directed to these sites to register or set passkeys.
Detection of network traffic patterns associated with the NovaCookies Adversary-in-the-Middle (AiTM) phishing kit. The rules monitor for DNS queries for .vu domains, HTTP requests to lookalike Microsoft 365 login pages hosted on .vu domains, POST requests containing credential data, and the receipt of specific session cookies (ESTSAUTH) indicative of successful AiTM session interception.
This rule detects malicious activity by monitoring for specific known indicators, including hashes of malicious files (ProcessRollup2), network connections to known C2 infrastructure (NetworkConnectIP4), and URL clicks (UrlClick) associated with malicious domains or paths. It acts as a multi-stage indicator correlation rule to identify execution or communication with known threats.
Detects network activity associated with the OnyxC2 malware, including DNS queries to .top TLDs for beaconing, subsequent HTTP check-ins to .top domains, and known TLS SNI matches for OnyxC2 C2 infrastructure.
This rule detects HTTP POST requests to the 'wp-login.php' endpoint of a WordPress installation where the 'log' (username) and 'pwd' (password) fields are both set to 'admin'. This is a common signature for automated brute-force or credential-stuffing attacks targeting default administrator credentials.
Detects network activity associated with a malicious NPM package (typosquatting) beaconing to a known C2 server (69.48.229.140) and performing command and control operations, including command polling and data exfiltration, specifically from a Node.js environment.
Detects network activity associated with a malicious NPM package (typosquatting) beaconing to a known C2 server (69.48.229.140) and performing command and control operations, including command polling and data exfiltration, specifically from a Node.js environment.
Detects HTTP redirect chains originating from common webmail providers to URLs containing suspicious login-related keywords or obfuscated brand look-alike domains, which is indicative of credential harvesting or phishing activity.
Detects Log4Shell (CVE-2021-44228) exploitation attempts by identifying JNDI lookup patterns (e.g., ldap://, rmi://, dns://) and common obfuscation techniques within HTTP headers, user-agents, and query parameters, which could lead to remote code execution.
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 abnormally high volume of POST requests from a single source to the Salesforce Aura API endpoint (/s/sfsites/aura) within a short window, which is indicative of automated guest profile enumeration and AuraInspector-style probing activity associated with the ShinyHunters Salesforce campaigns.
Detects high-frequency HTTP requests targeting Salesforce Aura endpoints associated with structural introspection, such as retrieving component definitions or field metadata. This behavior is consistent with the use of the AuraInspector reconnaissance tool to map the internal structure of a Salesforce application.
Detects unauthenticated guest users abusing the Salesforce Experience Cloud Aura endpoint (/s/sfsites/aura) to perform high-volume metadata and schema enumeration. This activity typically involves tools like AuraInspector to harvest CRM data by repeatedly invoking Aura actions such as describeSObjects, getSObjectMetadata, ObjectInfoController, or RecordUiController.
Detects attempts to access or execute a file named 'cmd.jar' within the Cisco Firepower Management Center (FMC) or Cisco Security Manager (CSM) environment. This filename is associated with web shell activities used for unauthorized command execution on vulnerable Cisco appliances.
Detects network traffic associated with the Havoc C2 framework Demon agent. The rules identify specific HTTP request headers, response headers, and URI patterns (such as /funny_cat.gif, /test.txt, and /helloworld.js) used by the agent for beaconing and command-and-control communication.
Detects network activity (DNS queries, TLS SNI, and HTTP requests) associated with identified 'ShipmentsFree' scam domains. These domains are typically used in phishing or credential harvesting campaigns to trick users into visiting fake account or tracking pages.
Detects network activity (DNS queries, TLS SNI, and HTTP requests) associated with identified 'ShipmentsFree' scam domains. These domains are typically used in phishing or credential harvesting campaigns to trick users into visiting fake account or tracking pages.
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