Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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IOC hunt across DNS, network, and file-hash telemetry for the Ledger Google Ads phishing campaign. Vercel redirect domains are matched by exact hostname (DNS query name / parsed URL host) rather than substring, eliminating false positives from unrelated strings that merely contain a look-alike domain fragment. GCS bucket and Google Sites path IOCs remain substring-matched since the bucket IDs and page slugs are already highly specific.
Detects DNS lookups and outbound network connections to known command and control (C2) and staging domains associated with the STAC4924 campaign. The rule performs strict matching on domain names to ensure that subdomains are identified while avoiding false positives from partial string matches within URLs.
Detects network activity associated with DPRK-affiliated threat actors, specifically connections to known hardcoded C2 IP addresses and DNS queries for malicious o-r.kr subdomains utilized for command and control.
Detects DNS resolution attempts for newly registered or suspicious top-level domains (e.g., .xyz, .top, .live) that mimic corporate Identity Provider (IdP) or Single Sign-On (SSO) login portals. This behavior is characteristic of Adversary-in-the-Middle (AiTM) phishing kits like EvilProxy or Tycoon2FA, intended to capture user session tokens. Note: This rule monitors for initial domain contact and should be correlated with subsequent authentication logs to identify potential session hijacking.
Detects indicators associated with the ChatGPT Custom GPT ClickFix campaign across process, network connection, DNS, and HTTP telemetry: known malicious file hashes, C2 IP addresses, the chattypetty.com domain, and known payload-hosting URLs.
This rule performs a retrospective search across device file and network events for indicators of compromise associated with the UNC6240/ShinyHunters actor's activity against PeopleSoft, specifically linked to CVE-2026-35273. It monitors for known malicious file hashes (JSP webshells and executables), connections to known C2 infrastructure, and DNS lookups for specific malicious domains.
Detects network traffic (DNS, TLS SNI, and HTTP) associated with Wazza phishkit infrastructure, specifically looking for malicious domains like boegl-krysl.eu and coppietersrecherche.eu, as well as Cloudflare workers.dev domains used for beaconing and lures.
This rule monitors network traffic, DNS queries, and user web clicks to detect interactions with known malicious domains associated with credential harvesting and phishing campaigns, specifically those impersonating security or SSO portals.
The following analytic identifies DNS queries to domains associated with the 3CX supply chain attack. It leverages the Network_Resolution datamodel to detect these suspicious domain indicators. This activity is significant because it can indicate a potential compromise stemming from the 3CX supply chain attack, which is known for distributing malicious software through trusted updates. If confirmed malicious, this activity could allow attackers to establish a foothold in the network, exfiltrate sensitive data, or further propagate malware, leading to extensive damage and data breaches.
Detects DNS lookups and outbound network connections to known command and control (C2) and staging domains associated with the STAC4924 campaign. The rule performs strict matching on domain names to ensure that subdomains are identified while avoiding false positives from partial string matches within URLs.
This rule detects various malicious indicators including known file hashes, IP addresses, domains, and specific URLs associated with threat activity. It consolidates hits from process, file, and network telemetry to alert on potential compromise or communication with identified command-and-control (C2) infrastructure.
This rule performs a multi-source correlation (network, DNS, file, and process telemetry) to detect artifacts associated with the Coruna campaign. It looks for known malicious file hashes (SHA1), C2 IP addresses, and specific domain/URL patterns in process command lines and network connections.
This rule monitors endpoint telemetry (DNS queries, network connections, file creation, and process execution) to identify matches against a predefined list of known malicious indicators, including IP addresses, domains, and file hashes (SHA256). The rule differentiates between confirmed malicious activity and low-confidence indicators, providing a prioritized view of potential threats.
This rule monitors endpoint telemetry (DNS queries, network connections, file creation, and process execution) to identify matches against a predefined list of known malicious indicators, including IP addresses, domains, and file hashes (SHA256). The rule differentiates between confirmed malicious activity and low-confidence indicators, providing a prioritized view of potential threats.
Detects network activity related to the 'Blinder Tunnel' C2 infrastructure. The rules identify a Chisel tunnel client initiating a WebSocket handshake (identifiable by the 'chisel-v3-channel' header) to external infrastructure and a DNS lookup for a specific domain (soroshpasargad.com) identified as a relay nameserver used by the threat actor CL-STA-1178.
Detects network activity related to the 'Blinder Tunnel' C2 infrastructure. The rules identify a Chisel tunnel client initiating a WebSocket handshake (identifiable by the 'chisel-v3-channel' header) to external infrastructure and a DNS lookup for a specific domain (soroshpasargad.com) identified as a relay nameserver used by the threat actor CL-STA-1178.
Detects network activity related to the 'Blinder Tunnel' C2 infrastructure. The rules identify a Chisel tunnel client initiating a WebSocket handshake (identifiable by the 'chisel-v3-channel' header) to external infrastructure and a DNS lookup for a specific domain (soroshpasargad.com) identified as a relay nameserver used by the threat actor CL-STA-1178.
Detects network activity (DNS queries, HTTP Host headers, and TLS SNI) directed towards the known Blinder Tunnel staging domain 'asdfafadafg.online'. This behavior is indicative of command-and-control (C2) communication or initial staging of malicious payloads.
Detects network activity (DNS queries, HTTP Host headers, and TLS SNI) directed towards the known Blinder Tunnel staging domain 'asdfafadafg.online'. This behavior is indicative of command-and-control (C2) communication or initial staging of malicious payloads.
Detects network activity (DNS queries, HTTP Host headers, and TLS SNI) directed towards the known Blinder Tunnel staging domain 'asdfafadafg.online'. This behavior is indicative of command-and-control (C2) communication or initial staging of malicious payloads.
This rule detects various malicious indicators of compromise (IOCs) across multiple telemetry sources, including DNS queries, web network traffic, file executions, process creation, and email activity. It monitors for interactions with known malicious domains, URLs, file hashes, and specific sender email addresses to identify potential malware distribution or C2 activity.
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