Detections

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

2,588 detections

Detects Bluetooth OBEX protocol data transfers used for physical data exfiltration
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
103
Detects keylogger captured data being exfiltrated via HTTP POST requests
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects screen capture image data being exfiltrated via HTTP POST
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects keylogger-captured data exfiltration via HTTP POST requests
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects HTTP POST requests to pastebin.com's API for pasting content, specifically targeting the '/api/api_paste.php' endpoint. It triggers if the size of the data being uploaded is greater than 1000 bytes, indicating a potential data exfiltration attempt to a public text storage site.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects potential data exfiltration to OneDrive cloud storage. It specifically looks for HTTP PUT requests to onedrive.live.com or graph.microsoft.com with a URI containing '/content' and a data size greater than 10000 bytes. This combination suggests a large file upload to OneDrive.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects attempts to exfiltrate data to Google Drive cloud storage. It specifically looks for HTTP POST requests to 'www.googleapis.com' with the URI containing '/upload/drive/' and a data size greater than 10000 bytes. This pattern is indicative of a file upload operation to Google Drive.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects large data transfers (over 65000 bytes) to a Server Message Block (SMB) share that contains the string "USBSTOR" in its content. This combination suggests data exfiltration to removable media, as "USBSTOR" is often associated with USB storage devices. The rule uses a threshold of 20 such transfers within 60 seconds from the same source IP to trigger an alert, indicating a sustained large data transfer activity.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects potential data exfiltration over Bluetooth Network Encapsulation Protocol (BNEP) by monitoring UDP traffic on port 3232. It triggers an alert if more than 5 such packets are observed from a single source within a 60-second window, indicating a possible attempt to transfer data out of the network via Bluetooth.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects potential data exfiltration attempts via Discord webhooks. It specifically looks for HTTP POST requests to discord.com/api/webhooks/ with a data size greater than 500 bytes. This could indicate an attacker sending sensitive information out of the network using Discord's API.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
Detects repeated 'git clone' or 'git fetch' commands executed on a system within a short timeframe. This activity could indicate an adversary attempting to exfiltrate data from a code repository or staging environment, or rapidly pull down multiple repositories.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
This rule detects a high volume of network connections (10 or more within an hour) from a single process to remote URLs containing 'artifact' or 'maven' on standard HTTP (port 80) or HTTPS (port 443) ports. This activity could indicate legitimate software development or build processes, but also potentially malicious activities such as supply chain compromise, data staging, or exfiltration of development-related artifacts.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
Detects when a single user account creates 5 or more files within an hour that contain keywords like 'confidential', 'secret', or 'restricted' in their filenames. This behavior could indicate an attempt to stage sensitive data for exfiltration or unauthorized access to sensitive information.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
003
This rule detects unusually large network uploads from devices. It identifies successful network connections where individual transfers exceed 100MB and aggregates these transfers by account name and hour. The rule then flags any account that has uploaded a total of 1TB or more within a single hour. This pattern could indicate data exfiltration, unauthorized data synchronization, or other malicious activities involving significant data transfer volumes.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
003
This rule detects when a single user downloads 50 or more files from OneDrive within a one-hour period. This could indicate data exfiltration or unauthorized bulk access to sensitive information.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
This rule detects when a single process account creates 5 or more files containing 'database', 'db', or '.sql' in their filenames within a one-hour window. This could indicate an attempt to stage, exfiltrate, or manipulate database files.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
Detects an unusually high number of file copy operations to 'public' or 'external' folders within a one-hour window, initiated by the same process account. This behavior could indicate data exfiltration or unauthorized data staging.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
This rule detects when an account copies five or more files, each larger than 50MB, within a one-hour period. This activity could indicate data exfiltration or staging for exfiltration.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
This rule detects when a single process account creates or copies 10 or more files to a removable media device (e.g., USB drive) within a one-hour window. This behavior can be indicative of data exfiltration attempts.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
This rule detects an unusual spike in large file downloads from SharePoint by a single user within a one-hour window. It specifically looks for users downloading 5 or more files, each larger than 100MB, from SharePoint.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
Detects when a single account initiates a high volume of Office file (Word, Excel, PowerPoint) copy or move operations within a one-hour window. This could indicate data exfiltration or staging activities.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
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