Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
5,155 detections
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Detects the download of a dataset from an unapproved source that lacks hash verification, followed shortly by the launch of a model training process on the same host. This behavior is indicative of potential supply chain compromise or poisoning of the training data used in machine learning workflows.
Detects anomalous DNS traffic patterns characterized by a high volume of unique subdomains, frequent long DNS query labels, or excessive use of TXT/NULL record types. These behaviors are frequently associated with DNS tunneling, a method used by adversaries to exfiltrate data or communicate with Command and Control (C2) servers via the DNS protocol.
Detects endpoint-based retrieval of potential malicious payloads or configurations from blockchain-hosted infrastructure (e.g., Infura, Alchemy, public RPC nodes) using web-based RPC calls, followed by the execution of a script interpreter (e.g., PowerShell, WScript, MSHTA). This pattern is characteristic of 'EtherHiding' campaigns where smart contracts are used as decentralized and takedown-resistant storage for second-stage delivery.
This rule monitors for indicators of compromise (IOCs) associated with the TrustSink rogue MFA provider, specifically tracking the domain 'trident-sip-filter.ngrok-free.dev' and its associated OIDC discovery path. It aggregates signals from sign-in logs, audit logs, DNS queries, and network proxy traffic to identify attempts to interact with this malicious infrastructure.
This rule correlates web clicks on Google Sites URLs containing keywords related to GlobalProtect with the subsequent creation or renaming of an unsigned or improperly signed GlobalProtect.msi file on the same endpoint within a 30-minute window. This behavior is indicative of a spearphishing attempt using a masqueraded landing page to deliver malicious or unauthorized software.
This rule detects network traffic associated with Lumma Stealer information-stealing malware, specifically identifying HTTP POST requests that utilize the 'TeslaBrowser/5.5' user agent. This pattern is indicative of the malware exfiltrating stolen data to its Command and Control (C2) server.
Detects the use of the RpcRemoteFindFirstPrinterChangeNotificationEx function (opnum 58) on the Spoolss RPC interface. This function can be abused by attackers to coerce the Print Spooler service into authenticating against an attacker-controlled host via SMB, a technique commonly referred to as 'PrinterBug' or 'SpoolSample'. This authentication can subsequently be relayed to other services (such as AD CS or LDAP) to achieve privilege escalation.
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 endpoint, process, and network activity associated with the 'TaskStomp' threat actor, specifically targeting known malicious file hashes, command-and-control domains, and specific URLs used in their campaigns.
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.
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.
This rule detects the execution of the MeshAgent remote administration tool from a temporary directory followed by a network connection to known malicious infrastructure within a 15-minute window. This behavior is indicative of unauthorized remote access setup or C2 activity using a legitimate remote management utility.
This rule monitors for network communication with known malicious infrastructure (IPs/domains) and the execution of specific suspicious file names. It correlates device network events, file system activity, and process execution, specifically flagging attempts to execute MSI installers or other binaries associated with the identified threat indicators.
This rule detects network communication attempts to a specific set of domains associated with the AgtaBackup Remote Access Trojan (RAT). It monitors DeviceNetworkEvents for outbound connections directed toward known command-and-control (C2) infrastructure used by this threat actor.
Detects unauthenticated HTTP requests directed at management or schema APIs for common vector databases (Milvus, Weaviate, Qdrant). These requests lack the required Authorization header, potentially indicating unauthorized reconnaissance or attempts to exploit public-facing database management interfaces.
Detects DNS tunneling attempts by identifying DNS queries with abnormally long subdomains (greater than 50 characters) that exhibit a high request rate (20 or more queries within 60 seconds). This behavior is characteristic of C2 communication tools such as iodine or dnscat2, which encode data within DNS query labels to bypass traditional network security controls.
Detects network traffic associated with the BotHelper RAT communicating with its C2 domain 'easyllms.xyz'. The rule monitors for TLS SNI connections to this domain and specific HTTP API paths (/api/v1/ping, /api/v1/connect, etc.) indicative of command-and-control heartbeats and task execution.
Detects potential command and control (C2) activity associated with the BotHelper malware. The rule correlates a process downloading files or DLL plugins from specific C2 URL paths ('/uploads/Files/' or '/uploads/Plugins/') with a subsequent report of task execution status ('task_run.php' or 'task_failed.php') originating from the same process within a 10-minute window.
Detects network activity associated with the Psychedelic Stealer malware, including C2 check-ins, API-based tasking, and communication with known C2 infrastructure using specific URI patterns and headers like 'X-API-Key'.
Detects msiexec.exe initiating network connections to or executing packages from endpoints containing 'capher.php' and token parameters. This behavior is associated with the 'ClickFix' delivery chain, where adversaries use malicious websites or scripts to trick users into downloading and executing installer files.
Detects network patterns associated with NeedyMantis-style command-and-control (C2) activity. This includes specific HTTP GET requests with hardcoded User-Agent strings, cookie-based binary data transfer in server responses, and WebSocket communication attempting to establish binary protocol channels.
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