Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network activity (HTTP, TLS SNI, and DNS) associated with the domain 'noht1ng.top', which is linked to the GRAYRABBIT malware utilized by the threat actor UNC3569.
Detects DNS queries originating from an internal host to 'mail.uaiubifas.top', which is associated with GRAYRABBIT command-and-control (C2) activity.
Detects DNS queries originating from an internal host to 'mail.uaiubifas.top', which is associated with GRAYRABBIT command-and-control (C2) activity.
Detects the suspicious execution of cmd.exe with piped stdio handles (indicative of a reverse shell) initiated by non-standard parent processes associated with the GRAYRABBIT malware, correlated with an immediate outbound network connection from the same process.
Detects network communication with Google Sheets API endpoints that contain specific indicators of C2 behavior, such as suspicious User-Agents, specific spreadsheet cell references, or input options characteristic of automated data exfiltration or command retrieval.
Detects PowerShell processes initiating network connections to known public DNS-over-HTTPS (DoH) providers over port 443. This behavior is often associated with efforts to bypass standard organizational DNS logging and security controls by tunnelng DNS queries through encrypted HTTPS traffic.
Detects established outbound network connections on TCP port 853 (DNS-over-TLS) to known C2 infrastructure associated with the RedTail malware. The rule monitors for both connection attempts to anomalous resolvers and specific TLS handshake patterns characteristic of RedTail C2 activity.
Detects established outbound network connections on TCP port 853 (DNS-over-TLS) to known C2 infrastructure associated with the RedTail malware. The rule monitors for both connection attempts to anomalous resolvers and specific TLS handshake patterns characteristic of RedTail C2 activity.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to known JeetBot infrastructure domains and IP addresses. The rule specifically identifies potential exfiltration of Twitch OAuth tokens via URL parameters or interaction with known token-collection proxy endpoints, which are associated with the JeetBot/Twitch Enhanced Viewer credential harvesting campaign.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to JeetBot/Twitch Enhanced Viewer malicious browser extension infrastructure exfiltrating Twitch OAuth tokens. Apex domains (jeetbot.cc, api.jeetbot.cc) are gated on a token-forwarding indicator to avoid false positives.
This rule detects activities related to Tampermonkey (a popular browser extension for userscripts) or interactions with paste.sh, often used for hosting scripts or payloads. The rule monitors both process-level executions and network requests for these indicators, which may be associated with malicious script execution or browser-based credential or session theft.
This rule detects potential web skimmer activity where a user's browser performs a network connection to known payload delivery hosts (e.g., paste.sh or Google Sheets API) followed by a clipboard modification event on the same device within a one-hour window. This behavior is consistent with malicious scripts attempting to replace copied cryptocurrency wallet addresses with an attacker-controlled address.
Detects browser-based network requests to the Google Sheets Visualization API (gviz/tq) that appear to be used for fetching malicious JavaScript payloads from public Google Sheets. The rule specifically identifies instances where a process initiates these requests without any corresponding active browser session associated with standard Google Docs or Sheets editing activity.
This rule detects potential browser-based manipulation or phishing campaigns where a user visits a known loader script host (paste.sh) and subsequently visits cryptocurrency trading sites (SimpleSwap, SwapZone) within a short time window. This behavior is indicative of an injected script modifying the browser's view of trading sites to display deceptive 'Loyalty Bonus' or discount banners to lure users into transactions.
This rule detects potential browser-based wallet address substitution attacks by monitoring for a specific sequence of network connections within a single browser process. It looks for connections to cryptocurrency swap platforms (SimpleSwap/SwapZone) closely followed by the retrieval of an external loader script (paste.sh) and a Google Sheets Visualization API payload, which is a known technique for injecting malicious scripts that intercept and modify XHR/fetch responses in the user's browser.
Detects browser-based network requests to the Google Sheets Visualization API (gviz/tq) that appear to be used for fetching malicious JavaScript payloads from public Google Sheets. The rule specifically identifies instances where a process initiates these requests without any corresponding active browser session associated with standard Google Docs or Sheets editing activity.
Detects instances where a shell process (powershell, cmd, mshta, or wscript) is spawned by a browser-related process (explorer, wt, or SearchHost) shortly after a user focuses on a web browser, followed by a network connection from that shell within a short time window. This pattern is indicative of potential web-based exploitation or file download and execution chains.
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