Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects network traffic patterns associated with ARToken-style OAuth device code phishing attacks, specifically monitoring for initial backend requests to Cloudflare Workers infrastructure, response payloads containing known phishing template indicators, and subsequent polling activity against device code endpoints that indicate an active phishing session.
This rule monitors network, DNS, and HTTP activity to identify connections to known infrastructure associated with the ClickFix social engineering campaign and Vidar infostealer malware. The rule correlates device network events, HTTP request events, and DNS queries against a list of known malicious domains, IP addresses, and URL patterns used for C2, staging, and lures.
Detects network activity associated with a known malicious campaign using fake Cloudflare CAPTCHA pages as a lure. This includes requests to retrieve tracker scripts from 'fsputnik.com', loading of fake verification pages from 'uasputnik.com', and communication with a known command retrieval endpoint ('admin777111777.php') potentially used for clipboard hijacking.
Detects HTTP and TLS traffic directed toward Vercel subdomains (vercel.app) that are consistent with known patterns for document-lure phishing or gated ZIP file distribution, often used for RMM-phishing campaigns.
Detects HTTP requests to Vercel deployment domains where the requested resource is a specific phishing kit asset ('font1.woff2'). This pattern is commonly associated with phishing campaigns hosted on free web hosting platforms.
Detects HTTP requests and responses involving the download of an executable file named 'ClaudeDesktop.exe' from the 'claude.ai' host, which is indicative of a malicious campaign distributing SectopRAT.
Detects anomalous external traffic patterns indicative of automated API reconnaissance. The rule flags high-frequency requests from a single IP targeting a diverse set of API endpoints, particularly when characterized by a mixture of successful (200), unauthorized (403), or not found (404) status codes, or repeated attempts to access sensitive management/administrative API paths.
Detects suspicious/unexpected usernames appearing in Cisco ISE access.log,
consistent with exploitation of CVE-2026-76460, an unauthenticated REST API
auth-bypass in Cisco ISE / ISE-PIC (CVSS 10.0, actively exploited, CISA KEV).
Cisco's own guidance is to hunt access.log for usernames not present in the
legitimate identity store; "dummyuser" is their published example artifact.
consistent with exploitation of CVE-2026-76460, an unauthenticated REST API
auth-bypass in Cisco ISE / ISE-PIC (CVSS 10.0, actively exploited, CISA KEV).
Cisco's own guidance is to hunt access.log for usernames not present in the
legitimate identity store; "dummyuser" is their published example artifact.
Detects a specific adversarial pattern used to bypass authentication protections, where a browser process first navigates to an attacker-controlled identity verification or CAPTCHA challenge page, followed by an immediate navigation to legitimate Microsoft device code authentication endpoints within the same process session.
Detects HTTP requests containing malicious JDBC strings targeting PaperCut NG/MF print management software, which are indicative of attempts to exploit authentication bypass and remote code execution vulnerabilities (CVE-2026-81578, CVE-2026-82078).
Detects a two-stage pattern indicative of command-and-control (C2) communication. The rule identifies an initial request to a 'relays.json' endpoint (relay discovery) followed by a request to an 'api.php' endpoint (dispatcher decision) within a 5-second window, both using a 13-digit timestamp query string for cache-busting. It also captures single-stage 'api.php' requests as lower confidence alerts.
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.
This rule monitors network device logs for patterns indicative of reconnaissance or vulnerability scanning against management and VPN interfaces of common firewall and network appliances (FortiGate, Meraki, WatchGuard, Sophos). It flags sources that either request multiple sensitive paths related to system status and configuration or employ known scanning tools (Nmap, masscan, Nuclei, zgrab, curl) in the user-agent string.
This rule detects network requests directed at raw.githubusercontent.com that attempt to retrieve 'init.dat' or files named with a specific GUID format, patterns which are characteristic of the Kimsuky threat group using GitHub as a dead drop resolver for C2 infrastructure discovery.
Detects suspicious activity associated with Cobalt Strike Beacon communication, specifically monitoring for known default named pipes and specific user-agent strings commonly used by Cobalt Strike in HTTP/S traffic.
Detects specific C2 communication patterns associated with SCKIT, including HTTPS beaconing to the skyleen.fr domain and structured URI patterns used for configuration and status requests.
Detects HTTP POST requests directed to OpenAI or Anthropic API endpoints originating from non-browser user agents (e.g., Python requests, curl, Go-http-client). This activity may indicate automated interactions, potentially for malicious purposes such as script-based interaction with LLMs or unauthorized API usage.
Detects repeated, small outbound HTTP/HTTPS requests to an external destination, a behavior characteristic of scripted command-and-control (C2) beaconing where a client periodically polls a server for instructions.
Detects large HTTP POST requests (exceeding 100KB) directed to public LLM API endpoints such as OpenAI or Anthropic. This behavior may indicate potential bulk data exfiltration or unauthorized sharing of sensitive data with external AI providers.
Detects network traffic associated with Adversary-in-the-Middle (AiTM) phishing kits that impersonate Microsoft and Google login pages. The rules identify the presence of specific HTML elements (like Cloudflare Turnstile anti-bot gates) and authentication session cookie headers served from non-authorized/non-official domains, indicating a reverse-proxy phishing attack.
This rule performs a retrospective sweep for indicators of compromise (IOCs) associated with the 'CSuite' phishing and RMM (Remote Monitoring and Management) campaign. It monitors network, DNS, proxy, email, URL click, and file creation telemetry over the past 24 hours to identify interactions with known-malicious IP addresses, domains, URLs, and file hashes related to the campaign.
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