Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects upload of offensive security tools to cloud storage for staging
This rule detects when a Key Vault item is deleted in Azure. Monitoring deletions of sensitive items like those in Key Vaults is crucial for detecting potential data exfiltration, sabotage, or unauthorized access attempts by adversaries.
This rule identifies when a single account creates three or more files containing 'backup', 'export', or 'dump' in their filenames within a one-hour period. This activity could be indicative of data staging for exfiltration or an attempt to back up sensitive information prior to a malicious action.
This rule detects a high volume of file creation or modification events on removable media (e.g., USB drives). A count of 10 or more file operations within a one-hour window by a single initiating process account on paths containing 'USB' or 'Removable' is considered suspicious and may indicate data exfiltration or staging.
Detects bulk file reading from network shares for data collection
This rule detects Bluetooth Object Exchange (OBEX) Protocol data transfer activity on TCP port 3232. The rule is configured to alert when five such data transfers are observed from the same source IP within a 60-second window, indicating potential exfiltration or unauthorized data movement over Bluetooth.
This rule detects an unusually high number of downloads of files identified as 'octet-stream' or 'executable' from a single IP address within a one-hour window, based on W3CIISLog data. This behavior could indicate various malicious activities, including the distribution of malware, data exfiltration, or the use of a compromised web server for command and control.
This rule detects successful network connections to known paste sites like Pastebin or Gist. Adversaries often use these services to host malicious code, exfiltrate data, or for command and control (C2) communications. Monitoring such connections can help identify potential data exfiltration attempts or the download of malicious content.
This rule detects users uploading a high volume of files (50 or more within an hour) to SharePoint or OneDrive. This activity could indicate data exfiltration or unauthorized mass data transfer.
This rule detects events generated by Microsoft Defender for Endpoint's Attack Surface Reduction (ASR) rules in either Audit or Block mode.
(**Toggle by commenting out line 94/95. Default is both Audit & Block**).
It covers all 19 ASR rules by matching ActionType patterns or falling back to GUIDs found in AdditionalFields. The rule extracts the friendly name of the ASR rule, the mode (Audit/Block), and relevant process information.
This rule is especially noisy when ran over an entire environment. It's recommended to scope using Audit/Block, Machine Group, and filtering to the rules you want by commenting others out.
(**Toggle by commenting out line 94/95. Default is both Audit & Block**).
It covers all 19 ASR rules by matching ActionType patterns or falling back to GUIDs found in AdditionalFields. The rule extracts the friendly name of the ASR rule, the mode (Audit/Block), and relevant process information.
This rule is especially noisy when ran over an entire environment. It's recommended to scope using Audit/Block, Machine Group, and filtering to the rules you want by commenting others out.
Detects upload of backdoored container images to internal registries
This rule detects an unusually high volume of object close operations (Event ID 4658) by a single user on a single computer within a one-hour window. This activity could indicate various malicious behaviors, including data collection for exfiltration, attempts to delete numerous files, or resource exhaustion attacks.
This rule detects devices making a high volume of successful network connections to GitHub's API endpoints (api.github.com or api.releases). A count of 5 or more successful connections within an hour from a single device is considered suspicious and could indicate data exfiltration, automated tooling, or unusual development activity.
This rule identifies an anomalous surge in network connection attempts to a particular remote IP address. It establishes a baseline of average daily connection counts to each remote IP over the past week. It then compares the current hourly connection count to this baseline, triggering an alert if the current count is more than five times the baseline and surpasses a total of 500 connections within that hour. This could indicate various malicious activities such as data exfiltration, command and control communication, or a denial-of-service attack originating from the monitored environment.
Detects DNS lookups to Pastebin used for dead drop C2 configuration retrieval
Detects large data transfers to removable storage media for physical exfiltration
This rule detects successful network connections to known paste sites like Pastebin or Gist. Adversaries often use these services to host malicious code, exfiltrate data, or for command and control (C2) communications. Monitoring such connections can help identify potential data exfiltration attempts or the download of malicious content.
This rule detects when a single user downloads 100 or more files from SharePoint within a one-hour period. This activity could indicate data exfiltration or unauthorized bulk access to sensitive documents.
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.
This rule detects an unusually high volume of file sharing events from a single user in OneDrive within a one-hour window. Specifically, it looks for five or more 'SharingSet' or 'AnonymousLinkCreated' operations by the same UserId within an hour, which could indicate data exfiltration or unauthorized sharing.
This rule detects high volume data exfiltration (over 1GB) from devices to a list of known malicious IP addresses within a one-hour window. It specifically looks for network events where a significant amount of data (SentBytes > 100MB initially, then summed to over 1GB) is sent to hardcoded remote IP addresses associated with potential command and control or data exfiltration infrastructure.
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