Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects anomalous network connections or DNS queries to known Ethereum RPC infrastructure providers (Infura, Alchemy, Cloudflare-eth) or ports/domains associated with Ethereum mainnet activity. It specifically targets processes other than common browsers or known blockchain clients, as well as Java-based processes performing DNS lookups for these domains. This behavior is indicative of potential 'EtherHiding' techniques where malicious code or data is hidden within blockchain transactions or distributed via blockchain infrastructure.
This rule detects outbound network connections to common webhook and temporary storage services (e.g., discord.com webhooks, webhook.site, pipedream.net) initiated by processes other than standard web browsers. Such behavior is often indicative of automated data exfiltration, command-and-control (C2) communication, or malicious script activity using these services to bypass traditional network defenses.
This rule detects network connections to known IP addresses associated with the FortiBleed vulnerability exploitation. The rule categorizes the threat based on the specific IP address, indicating potential C2, pentest lab activity, credential validation, or sniffer nodes.
This rule detects outbound network connections to common webhook and temporary storage services (e.g., discord.com webhooks, webhook.site, pipedream.net) initiated by processes other than standard web browsers. Such behavior is often indicative of automated data exfiltration, command-and-control (C2) communication, or malicious script activity using these services to bypass traditional network defenses.
This rule detects network communication to a known command and control (C2) server (23.254.164.123:443) associated with the 'protocal.cjs' backdoor, which is part of the 'easy-day-js' npm supply chain compromise. The detection specifically looks for TLS traffic with a Server Name Indication (SNI) and general IP traffic to this C2 address.
Detects suspicious activities associated with malicious npm package installations, including Node.js spawning shells during lifecycle hooks (preinstall, postinstall), connections to known command-and-control (C2) domains used in software supply chain campaigns, and the creation of artifacts within the node_modules directory.
Detects behavior patterns consistent with Remcos RAT, specifically: 1) unauthorized process injection (CreateRemoteThread/ProcessInjection) into common host processes, 2) spawning of browser-related processes (iexplore.exe, ieinstal.exe, ielowutil.exe) from non-standard parent processes, and 3) anomalous outbound network connections from these injected processes over non-standard ports.
Detects Node.js processes engaging in suspicious behaviors related to supply chain or second-stage attacks. This includes executing scripts from hidden .peer/ directories, accessing specific staging script filenames, and performing DNS requests or network connections to the known malicious domain data-stream.space.
This rule detects the installation and execution of malicious typosquatted npm packages associated with the Polymarket Trap campaign. It monitors for the creation of specific directory names within node_modules, npm install commands referencing these package names, and network activity or DNS lookups to 'log-taker' infrastructure from Node.js processes.
This rule detects processes making a high volume of network connections (10 or more within an hour) to URLs containing 'release' or 'download'. This behavior can be indicative of malware downloading additional components, updates, or exfiltrating data, but could also be legitimate software updates or large file transfers.
This rule detects network connections to known IP addresses associated with FortiBleed activity, categorizing them by their suspected role (e.g., C2, pentest lab, credential validation, sniffer node). It monitors both successful connections and connection attempts.
Detects HTTP traffic patterns associated with LokiBot malware beaconing to a hardcoded command and control (C2) endpoint. The rule specifically looks for established network connections to identified malicious domains or IP addresses using the /fre.php URI path.
Detects HTTP POST requests directed at PHP script endpoints with randomized 16-32 character hexadecimal filenames, which is a known C2 communication pattern used by the StealC infostealer.
This rule monitors for indicators associated with MiniUpdate/MiniJunk V2 RAT and general .NET AppDomainManager hijacking. It detects suspicious registry keys (AppDomainManagerAssembly/Type) or environment variable manipulation used to hijack .NET application execution flow. Additionally, it identifies .NET host processes loading DLLs from user-writable directories (e.g., AppData, Temp) and tracks suspicious beaconing patterns to known Azure CDN domains often used by these threats for Command and Control.
Detects execution of a renamed pythonw.exe (userscreen.exe) from a suspicious location (Public\AccountPictures) that demonstrates short-lived execution characteristics indicative of a sandbox/VM evasion check, immediately followed by network connectivity to known NarwhalRAT C2 domains or pcloud infrastructure.
This rule detects network activity associated with the StealC information stealer, specifically focusing on HTTP POST requests made to known command-and-control (C2) domains. It identifies characteristic URL patterns, such as randomly generated 16-character PHP files or specific index.php structures, which are used for bot registration and communication. The detection includes patterns indicative of RC4-encrypted payloads and behavior mimicking Amadey bot status checks.
Detects the use of curl.exe to upload files to the temp.sh service while simultaneously passing the resulting temp.sh URL within the User-Agent string to a C2 server. This specific exfiltration and beaconing TTP was observed in the Notepad++ supply chain attack.
Detects non-browser applications (Python, PowerShell, cURL, wget, node) communicating directly with OpenAI or ChatGPT API endpoints, indicative of automated AI tradecraft by threat actors. This rule specifically looks for network connections to api.openai.com initiated by these common scripting or command-line tools.
Detects outbound network connections to major Large Language Model (LLM) API endpoints (OpenAI, Google, Anthropic) initiated by processes not explicitly identified as standard web browsers or command-line utilities. This pattern may indicate automated data exfiltration ('prompt stealing' or unauthorized access to corporate data) using custom or malicious tools executing from suspicious directories like temp, appdata, or public folders.
This rule identifies indicators of compromise associated with the DragonReturn malware and DcRAT, including malicious file names, suspicious process execution, DNS resolution of known malicious phishing domains, and network communication with documented C2 infrastructure.
This rule detects command and control (C2) communication patterns associated with the Millenium RAT malware. It identifies suspicious traffic to 'api.telegram.org' utilizing the 'getUpdates' method initiated by processes that do not identify as standard web browsers, as well as traffic directed to the known proxy relay domain '75877.mcdir.me'.
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