Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

5,879 detections

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.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
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.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
104
This rule detects successful outbound network connections from an endpoint to a known Tor directory authority IP address. Establishing a connection to these authorities is a strong indicator that the system is attempting to join the Tor network or is interacting with Tor infrastructure, which may be unauthorized in enterprise environments.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects outbound network connections from workstations or servers to common message broker ports (MQTT 1883/8883, AMQP 5672). These protocols are sometimes abused for command-and-control (C2) communication, as they allow for pub/sub messaging patterns that can blend into legitimate network traffic.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
004
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.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
107
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.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
004
This rule detects network connections on TCP ports 7000, 7001, 8770, and 5353 (commonly associated with Apple services like AirPlay, AirPrint, and Bonjour) initiated by processes other than standard Apple binaries such as iTunes, AppleMobileDeviceService, Bonjour, or mDNSResponder. This behavior may indicate an attempt to blend into expected network traffic by masquerading as legitimate Apple service communication.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
101
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.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
1014
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
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.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
101
Detects network connections to common IP lookup services (e.g., ip-api.com, ipify.org) initiated by processes often associated with malware, such as Remcos RAT components or hijacked system processes like iexplore.exe. This activity is frequently used by adversaries for reconnaissance or C2 heartbeats to identify the external IP address of a compromised host.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
101
Detects network traffic on port 443 originating from non-browser processes destined for known DNS-over-HTTPS (DoH) providers (Cloudflare, Google, Quad9). This behavior can indicate an attempt to bypass standard network DNS filtering or to establish Command and Control (C2) communication channels using the DoH protocol.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects network traffic on port 443 originating from non-browser processes destined for known DNS-over-HTTPS (DoH) providers (Cloudflare, Google, Quad9). This behavior can indicate an attempt to bypass standard network DNS filtering or to establish Command and Control (C2) communication channels using the DoH protocol.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects exploitation of the Flowise MCP environment variable case-sensitivity bypass vulnerability. Adversaries leverage this flaw to circumvent denylist validation by supplying lowercase or mixed-case variable names (e.g., node_options), facilitating malicious code preloading via '--require', unauthorized environment secret exfiltration, or spawning child processes from the Flowise application.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
002
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.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
007
Detects HTTP GET requests to a specific self-hosted GitLab domain 'gitlab.bzctoons.net' that attempt to download a file named 'protected.zip', which is associated with the retrieval of StealC information-stealing malware by the Amadey loader.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
001
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.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
101
Detects the LokiBot information stealer by identifying its characteristic aPLib compressed payloads, specific C2 URI patterns, known C2 infrastructure, and credential theft routines targeting applications like 1Password, Keepass, and WinBox.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
001
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