Detections

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

3,615 detections

Detects access to clipboard data for credential or data capture
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
206
This rule detects network connections to common messaging and data store ports (RabbitMQ, Redis, MinIO) initiated by PowerShell, redis-cli, or minio.exe, where the process command line also contains the string "encrypt". This combination suggests potential malicious activity such as data encryption by ransomware or other malware targeting these services.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
205
Detects abuse of the microsoft.Web/sites/publishxml/action operation to retrieve application publishing profiles and basic auth credentials.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects an unusually high volume of SharePoint sharing invitation creations or sharing setting modifications by a single user within an hour. This could indicate an attacker attempting to exfiltrate data or broadly share sensitive information.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
008
Identifies network connections to specific Azure-hosted authentication brokers used by the jupyter-powerdev malware to retrieve Graph API tokens for its SharePoint C2 channel. This rule specifically looks for connections to known malicious broker domains or a known associated IP address.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
12017
Detects new unknown hardware MAC addresses appearing on the network
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
004
Detects audio capture and exfiltration via RTP media streams
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
007
Detects ARP cache poisoning attacks used for man-in-the-middle credential interception
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
007
Detects upload of offensive security tools to cloud storage for staging
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
407
Hunting rule: correlate with additional signals before alerting. Detects recursive collection of office documents into a single archive, common pre-exfil staging.
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Danny Y@zendannyy
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Detections.ai Community
4 months ago
001
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.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
006
Detects in-memory archive creation using .NET compression libraries
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
003
Detects bulk file reading from network shares for data collection
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
003
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.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
007
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.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
170179
This rule detects NBT-NS (NetBIOS Name Service) poisoning responses. NBT-NS poisoning is a technique used by attackers to intercept network traffic by responding to NetBIOS name queries with their own IP address, effectively redirecting traffic. The rule specifically looks for UDP traffic on port 137 (NetBIOS Name Service) destined for the home network, containing the byte sequence '|85 00|' at a depth of 4 bytes, which is indicative of a NetBIOS Name Service response. A threshold of 5 such responses within 10 seconds from the same source IP triggers the alert, aiming to reduce false positives from legitimate, but infrequent, NBT-NS responses.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
0011
Detects bulk downloading of SharePoint document libraries
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects the creation of files named 'lgf.dat' or 'lg.dat' within a user's Microsoft Vault directory. These file names and location are associated with keylogger activity, specifically as observed in the 'Fishmongers' Arsenal' campaign involving SprySocks malware.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
001
This rule detects the creation of executable files (.exe) by common archive utilities such as 7-Zip, WinRAR, tar, or PowerShell. It specifically targets scenarios where these utilities are used to extract or create executables, which can be indicative of malware unpacking or staging. The rule focuses on the process responsible for the file creation and the type of file being created, aiming to identify potentially malicious activity involving compressed or archived executables.
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Daniel Jeremiah@daniyyell
Google SecOps
4 months ago
201
Targets an unusually large executable produced by 7-Zip, WinRAR, tar, or PowerShell extraction. The UDM rule retains principal and target context for correlation.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
001
Detects when a non-Outlook process running as SYSTEM accesses Outlook mailbox data files (.pst or .ost). This rule focuses on identifying suspicious access to sensitive email data outside of normal application behavior, retaining principal and target context for correlation.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
001
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