Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,937 detections
Filters
Last updated
All Time
Detection languages
1,930
3
2
1
1
Contributors
592
477
360
250
124
Categories
995
927
834
546
538
Platforms
1,753
214
81
54
41
Products / Services
1,868
1,144
65
51
17
MITRE Techniques
564
412
305
201
175
CVEs
4
4
4
2
2
IDS Classtypes
1,937
503
461
381
236
IDS Protocols
1,098
362
201
171
37
This rule detects DNS queries that contain unusually long, seemingly random strings (50 or more alphanumeric characters) in the query name. This pattern is often used by malware for Command and Control (C2) communication, where the long string serves as 'junk data padding' to obfuscate the actual C2 data or to make detection more difficult. The rule specifically looks for DNS queries (port 53) and applies a threshold to prevent excessive alerts from a single source, triggering if 5 such queries are observed within 30 seconds from the same source IP.
This rule detects suspicious TLS certificates that are valid for only one day and have a common name (CN) consisting of 6 or more alphanumeric characters. This pattern is often associated with malware or command and control (C2) activity, where certificates are generated on the fly with short validity periods to evade detection.
This rule detects a pattern of dynamic DNS queries that could indicate Command and Control (C2) activity. Specifically, it triggers an alert if a single source IP address makes 50 or more DNS queries within a 60-second window. This high frequency of DNS lookups from a single source is often characteristic of malware attempting to resolve dynamically generated C2 domains.
This rule detects the upload of a potential screen recording file to a remote server over HTTP. It specifically looks for HTTP POST requests where the URI contains the string "video" (case-insensitive) and the file data contains the byte sequence "|00 00 00|" within the first 4 bytes, indicating a common video file header. Additionally, the file size must be greater than 500KB, which helps to filter out small, non-video files.
This rule detects the exfiltration of a webcam video stream over HTTP POST. It specifically looks for HTTP POST requests containing file data, where the data starts with the hexadecimal sequence '52 49 46 46' (which corresponds to 'RIFF', a common header for multimedia file formats like AVI and WAV) and has a size greater than 100,000 bytes. This combination suggests a large multimedia file, potentially a video, being uploaded.
This rule detects the creation of an email auto-forwarding rule within Microsoft Exchange via the Exchange Web Services (EWS) interface. It specifically looks for HTTP requests to the '/EWS/Exchange.asmx' endpoint containing the string 'ForwardToRecipients' in the client body, indicating an attempt to configure email forwarding.
This rule detects the creation of in-memory archives using the .NET Compression Library by inspecting HTTP client-bound data for the presence of both "System.IO.Compression" and "ZipArchive" strings. This combination suggests that a .NET application is creating a ZIP archive in memory, which could be indicative of data staging or exfiltration activities.
This rule detects potential data exfiltration attempts where data is archived using scripting libraries. It specifically looks for HTTP traffic (flow:to_client,established) containing the strings "zipfile", "ZipFile(", and "write(" in the file data, indicating the use of a scripting library to create and write to a zip archive. This combination suggests that a client is receiving or downloading an archived file that was likely created programmatically for exfiltration.
This rule detects attempts to access browser history files, specifically Google Chrome's history, over Server Message Block (SMB) protocol. The detection is triggered when SMB traffic contains the string "History" and "AppData\Local\Google\Chrome" (case-insensitive), indicating a potential reconnaissance activity where an attacker might be trying to exfiltrate or analyze browser history.
This rule detects network traffic (HTTP response) from a server to a client that contains both 'GetUserDefaultLCID' and 'ExitProcess' in the file data, case-insensitively. This combination of strings is indicative of malware attempting to evade sandboxes or target specific locales by checking the system's default locale identifier and then potentially exiting if the environment is not suitable. This behavior is often associated with trojan activity.
This rule detects HTTP traffic where the URI contains both 'schtasks' and '/delay' (case-insensitive). This combination suggests an attempt to create a scheduled task with a delayed execution, which can be used by adversaries for sandbox evasion or persistence.
This rule detects the delivery of source code files (C, C++, C#, Java, Go, Rust) over HTTP to a client, specifically looking for content that includes 'main(' within the file data. This pattern suggests that a source code payload intended for compilation after delivery is being transferred, which could be indicative of malicious activity such as a staged attack where the attacker compiles and executes code on the victim's machine.
This rule detects potential sandbox evasion techniques by identifying HTTP responses containing a 'Sleep(' function call with a duration of 1,000,000 milliseconds (1000 seconds) or more. This long sleep duration is often used by malware to delay execution and bypass time-based sandboxes, which typically have limited execution times for analysis.
This rule detects the delivery of a raw volume access tool via HTTP. It specifically looks for HTTP traffic (flow:to_client,established) containing the strings "CreateFile", "\\.\", and "GENERIC_READ" within the file data. These strings are indicative of an application attempting to open a raw volume device for direct read access, often a technique used by malware or forensic tools to bypass file system controls.
This rule detects attempts to access physical drives directly over SMB by looking for the string "\\.\PhysicalDrive" in TCP traffic on port 445. This technique can be used by attackers to bypass file system access controls and directly read or write to disk sectors, often as part of defense evasion or data exfiltration.
This rule detects HTML smuggling attempts by identifying the 'msSaveOrOpenBlob' API call within HTTP response bodies. This API is often used by attackers to deliver malicious files directly to a user's browser, bypassing traditional network security controls. The rule specifically looks for the case-insensitive string 'msSaveOrOpenBlob' in the file data of HTTP responses flowing from the server to the client.
This rule detects attempts to masquerade an executable file as a PDF document during an HTTP download. It specifically looks for HTTP responses where the 'Content-Type' header is set to 'application/pdf', but the actual file data begins with the 'MZ' magic bytes, indicating it is a Windows executable.
This rule detects network traffic containing the strings "bcdedit" and "safeboot" over TCP port 445 (SMB). This combination suggests an attempt to remotely configure a system to boot into safe mode, which could be used by an attacker for defense evasion or to facilitate further malicious activities.
This rule detects the use of renamed system binaries (svchost, explorer, lsass, csrss) with appended digits (e.g., svchost1.exe) being used as proxy execution. It specifically looks for HTTP responses containing a Windows executable (MZ header) where the HTTP URI matches the pattern of these renamed binaries. This behavior is often indicative of defense evasion tactics by malware.
This rule detects attempts to purge mailbox data using Exchange Web Services (EWS) by looking for HTTP requests to '/EWS/Exchange.asmx' containing the 'HardDelete' string in the client body. This activity is indicative of an attacker attempting to remove evidence or sensitive information from a compromised mailbox.
This rule detects network traffic containing the string "/..namedfork/rsrc" (case-insensitive) over TCP to port 22 (SSH). This pattern is indicative of an attempt to use macOS resource forks to hide payload data, a technique often employed by malware for defense evasion. The detection specifically targets traffic originating from and destined for the home network, suggesting an internal system attempting to exfiltrate or receive hidden data.
Page 74 of 93
