Detections

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

532 detections

This rule correlates rapid file modifications (potential encryption or mass deletion) with the execution of commands known to inhibit system recovery (e.g., deleting shadow copies or modifying boot recovery settings) and significant outbound network data transfers from the same host. This pattern is characteristic of ransomware deployment.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects outbound HTTP POST requests where the Content-Length is at least 10MB and the Content-Type header indicates the transfer of archived data (zip or x-tar). This pattern is often associated with the staging and exfiltration of compressed sensitive data from an internal host to an external network destination.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
Detects outbound HTTP POST requests where the Content-Length header indicates a transfer size exceeding 10MB to external (non-HOME_NET) addresses. This pattern is indicative of potential data exfiltration via HTTP.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
Detects large HTTP POST requests (over 5MB) directed at external hosts that utilize multipart or chunked encoding, which are commonly used to obfuscate or stream large volumes of data during an exfiltration event.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
This rule detects HTTP PUT requests with specific URL parameters ('buildtxd=', 'upload_id=', 'chunk_index=', 'total_chunks=') and a 'Mozilla/5.0' user agent, directed towards known malicious domains ('bestbuydomain.com', 'premierrentalpurchase.com'). This pattern is indicative of data exfiltration, potentially by malware uploading stolen data in chunks.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects anomalous network activity originating from 'NearShareReceive.exe' (Windows Near Share) to public IP addresses on non-standard ports, potentially indicating unauthorized use of the Near Share feature for data staging or exfiltration.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
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
000
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
000
This rule detects large internal data transfers within the home network, specifically looking for TCP traffic with a data size greater than 65000 bytes. It triggers an alert if more than 50 such transfers occur from a single source within a 60-second window. This behavior is indicative of data staging, where an adversary might be collecting and consolidating data prior to exfiltration.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
003
Detects network communication associated with BeepRAT, specifically identifying direct TCP connections to a known command-and-control IP address on a non-standard port or DNS requests directed at a specific malicious domain.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects anomalous network activity originating from Firefox (firefox.exe). The rule flags connections to port 8765 (associated with specific browser-based exfiltration PoCs) and any outbound connection on non-standard ports (excluding common browser ports: 80, 443, 8080, 8443, 8888, 53) directed to public IP addresses.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects manipulation of financial transaction data for financial theft
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
001
Identifies anomalous requests to Microsoft TURN relays, potentially requesting anonymous visitor tokens. This rule looks for a high volume of network connections to 'turn.teams.microsoft.com' or 'relay.teams.microsoft.com' from processes other than the legitimate Microsoft Teams application, indicating potential abuse of the Teams infrastructure for malicious traffic tunneling.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
2012
This rule detects anomalous DNS query activity that may indicate command and control (C2) or data exfiltration over the DNS protocol. It monitors for three specific indicators: excessive query volume to a single domain family within a short timeframe, the use of abnormally long DNS subdomain labels, and the transmission of TXT record queries from endpoints not acting as designated DNS servers.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
This rule monitors DNS queries for potential exfiltration or C2 communication channels. It flags DNS queries that exceed 100 characters in length or contain labels with at least 30 alphanumeric characters, excluding activity from common web browsers.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
This rule detects potential ransomware activity by identifying a combination of three distinct behaviors occurring on a single endpoint within a short window: high-volume file modifications (indicative of file encryption), deletion of system recovery resources (e.g., volume shadow copies, backup catalogs), and high-frequency network activity (indicative of data exfiltration). The rule uses cross-event correlation to reduce false positives by requiring all three signals to be present.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects the use of 'curl' to perform HTTP PUT requests with binary data, a technique often employed by malware like Amos Stealer for data exfiltration. It specifically looks for command-line arguments '-X', 'PUT', and '--data-binary' in 'curl' process executions.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
4 months ago
4014
This rule detects suspicious bulk access and transfer behavior targeting sensitive files, which could indicate data exfiltration. It identifies scenarios where a single account accesses a large number of files, totaling a significant size, within a short timeframe. The rule specifically looks for common sensitive file types such as spreadsheets, documents, PDFs, SQL databases, and backup files. This pattern is often associated with ransomware groups performing data leak extortion without encryption.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
4018
Detects browser processes exhibiting a pattern consistent with 'Browser-in-the-Middle' attacks, specifically the streaming of DOM content (e.g., using rrweb) over persistent WebSocket connections to external IP addresses. The rule identifies high-density connection events to the same remote IP on port 443 lasting for more than 120 seconds and correlates these events with a preceding phishing email click on the same device.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects data exfiltration attempts using curl.exe to the public file transfer service sendit.sh. This rule specifically looks for the execution of 'curl.exe' with 'sendit.sh' in its command line arguments, indicating a potential attempt to upload or transfer data to this service.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
0010
Detects PowerShell execution initiated by Remote Monitoring and Management (RMM) tools, specifically 'IDriveRemotePC.exe' or 'RemotePC.exe', when the PowerShell command line contains keywords indicative of downloading and executing remote content (e.g., 'DownloadString', 'IEX', 'Invoke-Expression', 'http', 'https', 'ftp'). This behavior is often associated with initial access or staging phases of an attack, such as ransomware deployment.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
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