Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the creation of zip archives matching the specific naming convention (Unix-[HOSTNAME]-[ID].zip) used by the UnixStealer malware family. Detecting these host artifacts enables early discovery before successful exfiltration.
This rule detects an unusually high number of file rename events (20 or more within a 1-hour window) initiated by a single process account. This behavior can be indicative of malicious activities such as data staging prior to exfiltration, ransomware encryption, or attempts to evade detection by renaming malicious files or legitimate system utilities.
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.
Detects SNMP-based access to network device configurations for data collection
Detects automated scraping of staff and employee directory pages
Detects creation of email auto-forwarding rules for persistent email collection
Detects the execution of Windows Snipping Tool (SnippingTool.exe) or Screen Sketch (ScreenSketch.exe) when launched with the 'ms-screensketch' command-line argument. This behavior is indicative of a user or process taking a screenshot, which could be part of information gathering by an adversary.
This rule detects multiple unauthorized access attempts to files identified as machine learning models, weights, or checkpoints. It specifically looks for Security Event ID 4656 (Auditing of object access) where the object name contains keywords like 'model', 'weights', or 'checkpoint', and the access mask indicates unauthorized access attempts (0x0001 for ReadData or ListDirectory, 0x0002 for WriteData or AddFile). The rule then summarizes these attempts by user, computer, and hour, triggering an alert if 5 or more attempts are made within an hour.
Detects the creation or modification of inbox rules that forward or redirect emails to another recipient. This can be an indicator of an adversary attempting to exfiltrate emails or maintain persistence.
This rule detects when a user account repeatedly (3 or more times within an hour) requests either 'SeDebugPrivilege' or 'SeImpersonatePrivilege' (Event ID 4672). This behavior can be indicative of an attacker attempting to escalate privileges or manipulate access tokens, often seen in techniques like token impersonation or debugging processes for malicious purposes.
This rule identifies accounts that create or modify 10 or more files, each larger than 200MB, within a one-hour period. This behavior can be indicative of data exfiltration, staging of large files, or other suspicious bulk file operations.
This rule detects the creation of new transport rules within Exchange Online. Adversaries may create malicious transport rules to forward emails, bypass security controls, or exfiltrate data. Monitoring the creation of new transport rules can help identify suspicious activity.
Identifies the creation of '.node' payload modules by Lucid Stealer in the Common AppData folder, indicative of the SEA payload staging its remote control and theft modules. This rule specifically looks for file creation events where the file name ends with '.node' and the folder path matches a pattern under the user's local AppData 'Common' folder.
Detects the staging of the Lucid Stealer hidden self-copy loader and the SQLite CLI helper binary in the Temp directory. This rule specifically looks for file creation events in the user's Temp directory with filenames matching patterns associated with Lucid Stealer's staging activities: 'winupd_*.exe' for its self-copy loader and '_sq3e_*.exe' for its SQLite helper.
Detects the staging and installation of the G DATA Avk.exe sideloading set within the unexpected C:\Users\Public\GData\ directory, associated with a Mustang Panda PlugX campaign. This rule specifically looks for the creation of files named "Avk.exe", "Avk.dll", or "AVKTray.dat" in this suspicious public user directory.
This rule detects attempts to exploit a Local File Inclusion (LFI) vulnerability to read the `/etc/passwd` file on a web server. It specifically looks for HTTP requests where the URI contains the string `/etc/passwd`.
This rule detects potential mass email collection activity over IMAP (port 143). It triggers an alert if a client makes 20 or more 'FETCH BODY[]' requests within a 60-second window to an IMAP server. This behavior is indicative of an attacker or malicious script attempting to download a large number of email bodies, potentially for data exfiltration or analysis.
This rule detects large data transfers (over 65KB) to a remote host via SSH SCP (port 22) within the home network. It uses a thresholding mechanism to alert if 30 such transfers occur within a 60-second window from the same source.
This rule detects a high volume of file read operations from a network share that contains the string "USBSTOR" in its content, indicating potential access to removable media. It triggers an alert if more than 50 such events occur within a 30-second window from the same source IP address. This could signify an attempt to exfiltrate data from a removable device shared over the network.
This rule detects a high volume of HTTP requests to GitHub's archive endpoint for repository cloning, specifically looking for 10 or more requests within 60 seconds from a single source IP. This behavior could indicate an attempt to collect data from multiple GitHub repositories, potentially for reconnaissance or data exfiltration purposes. The rule targets HTTP traffic where the host is 'github.com' and the URI contains '/archive/'.
This rule detects a high volume of Real-time Transport Protocol (RTP) video stream traffic originating from the home network and destined for external servers. Specifically, it triggers an alert if more than 100 UDP packets with a data size greater than 1000 bytes are observed from a single source IP address within a 10-second window. This pattern could indicate unauthorized video streaming or data exfiltration.
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