Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects HTTP responses containing JavaScript-based anti-bot challenge pages consistent with the GhostCode toolkit, and subsequent HTTP requests containing tracking tokens used for victim verification after passing the challenge.
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
Detects network requests targeting specific public Polygon RPC endpoints that query a known smart contract associated with EtherHiding-style C2 activity. This rule monitors for RPC methods (eth_call, eth_getStorageAt) commonly used to retrieve embedded C2 instructions stored within blockchain state data, a technique known as leveraging smart contracts for command-and-control communication.
Detects outbound HTTP POST requests directed at a known StealC command-and-control IP address. The rule identifies suspicious beaconing behavior by looking for POST requests that lack a standard User-Agent, do not utilize common HTTP content types, and contain a request body exceeding 16 bytes, suggesting custom binary protocol usage.
Detects outbound HTTP POST requests directed at a known StealC command-and-control IP address. The rule identifies suspicious beaconing behavior by looking for POST requests that lack a standard User-Agent, do not utilize common HTTP content types, and contain a request body exceeding 16 bytes, suggesting custom binary protocol usage.
Detects network activity associated with the 'ClickFix' campaign, specifically targeting DNS queries, TLS SNI, HTTP Host headers, and direct IP connections to known malicious infrastructure domains (cdnsuicaches.com, mnl.ac) and exfiltration endpoints (23.227.198.199).
This rule detects instances where a process associated with a known StealC command-and-control (C2) IP address subsequently spawns a hidden cmd.exe instance. It correlates network connections to known malicious infrastructure with the creation of hidden command shells within the same device session, specifically looking for common parent processes like web browsers or system utilities.
Detects outbound network requests to popular Large Language Model (LLM) API endpoints originating from processes that do not appear to be standard web browsers or identified legitimate development tools. This behavior may indicate an unauthorized script, malware, or compromised process attempting to use LLM APIs for C2, data exfiltration, or automated reconnaissance.
Detects indicators associated with the exploitation of CVE-2025-3248 in Langflow. The rule identifies anomalous web requests targeting the /api/v1/validate/code endpoint, subsequent suspicious process creation (base64 encoded payloads in Python/shell), and network communication with identified command and control (C2) or data exfiltration IP addresses. It also includes alerts for observed contact with known extortion email addresses.
Detects indicators associated with the exploitation of CVE-2025-3248 in Langflow. The rule identifies anomalous web requests targeting the /api/v1/validate/code endpoint, subsequent suspicious process creation (base64 encoded payloads in Python/shell), and network communication with identified command and control (C2) or data exfiltration IP addresses. It also includes alerts for observed contact with known extortion email addresses.
This rule monitors endpoint telemetry for known indicators of compromise associated with the Casbaneiro/Ousaban banking trojan. It identifies activity across network connections (IPs and domain patterns), DNS queries for specific C2 domains, and the presence or execution of known malicious file hashes (e.g., PDF lures, HTA, AutoIt scripts, and payload binaries).
This rule monitors for network connections to known command-and-control (C2) domains or DGA-patterned domains (ending in .icu or .cfd), as well as the execution or file creation of files matching known malicious SHA256 hashes.
Detects anomalous network connections initiated by a node.exe process spawned by npm.exe within 2 minutes of a lifecycle script (preinstall or postinstall) execution. This behavior is indicative of malicious dependency installation where a compromised package attempts to exfiltrate data or fetch additional payloads immediately upon installation.
Detects anomalous network connections initiated by a node.exe process spawned by npm.exe within 2 minutes of a lifecycle script (preinstall or postinstall) execution. This behavior is indicative of malicious dependency installation where a compromised package attempts to exfiltrate data or fetch additional payloads immediately upon installation.
Detects anomalous network connections initiated by a node.exe process spawned by npm.exe within 2 minutes of a lifecycle script (preinstall or postinstall) execution. This behavior is indicative of malicious dependency installation where a compromised package attempts to exfiltrate data or fetch additional payloads immediately upon installation.
Detects indicators of the Bazinga macOS backdoor and Polygon-C2 campaign, including specific command-and-control domains, C2 infrastructure IP addresses, persistence mechanisms via launch agent property lists, and associated cryptographic indicators like file hashes and wallet addresses.
Detects network connections or DNS queries to known suspicious domains associated with command and control infrastructure.
This rule monitors network traffic for requests directed at a specific domain ('luizestrelhashapr.online') and path ('/google_api/b83fa72d.css'), which is identified in threat intelligence as an indicator of browser history exfiltration.
This rule detects internal network activity (DNS queries, network connections, and security logs) communicating with domains associated with the GhostCode phishing kit. These domains are typically used to host credential harvesting pages or phishing infrastructure.
This rule detects network traffic directed at the Telegram Bot API (api.telegram.org) where the request URI indicates a bot action ('/bot' followed by 'sendMessage') and the HTTP request body contains the keyword 'VIEW'. This pattern is commonly associated with C2 beacons using Telegram as an intermediary service to send status or command results from compromised hosts.
Detects web traffic directed towards Google Apps Script endpoints that exhibit characteristics of malicious activity, specifically targeting browser-side data collection and user interaction lures. The rule identifies potential phishing attempts by correlating access to Google Apps Script pages (e.g., sidebars or add-ons) with external document-based referrers (e.g., Google Docs) or social media referrers, combined with scripts that attempt to exfiltrate user device environment data, location, or cryptocurrency wallet information.
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