Detections

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

2,588 detections

Detects exfiltration of sensitive data pushed to GitHub repositories
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
105
Detects large data transfers occurring outside normal business hours
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects an unusual spike in 'Export' or 'Download' operations within Azure Activity logs by a single caller. It triggers when a user performs 5 or more such operations within an hour, which could indicate data exfiltration attempts or suspicious data access patterns.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
009
This rule detects network connections made by processes commonly associated with mail collection, archiving, or data export (e.g., mail, archive, collector, export, rclone, winscp, curl executables). The detection specifically looks for these processes making HTTPS connections where the command line contains keywords related to email data files (.pst, .ost) or email processing (aspose.email, mailbox). The rule aims to identify potential exfiltration or collection of email data over HTTPS.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
002
Detects bulk export of Confluence wiki content
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
008
This rule tracks the execution of a file named 'uds.exe' and subsequently monitors for any network connections initiated by this process within a 10-minute window of its creation. This behavior is indicative of a compiled payload attempting unauthorized network exfiltration shortly after dynamic compilation, as observed in the 'Operation SilentCanvas' campaign.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
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.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
005
Detects connections to a known XenoRAT C2 IP address (185.235.137.106) originating from processes other than common web browsers (mshta.exe, chrome.exe, msedge.exe). This aims to identify potentially injected shellcode or RAT processes establishing command and control communications.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects the creation or alteration of a SQL trigger that utilizes sp_invoke_external_rest_endpoint. Attackers can abuse database triggers to automatically exfiltrate newly added credentials or sensitive records in real-time.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
3019
Detects pythonw.exe establishing a connection to the Vidar C2 domains and sending a significant byte count, confirming credential exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects bulk file reading from network shares for data collection
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
Detects bulk download of AWS S3 objects indicating cloud data theft
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
Detects DNS-based data exfiltration via high-volume TXT record queries
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
308
Detects upload of malicious payloads to file hosting services for staging
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
008
This rule identifies HTTP requests containing specific URL affiliate tracking parameters associated with the "Borrowed Trust" SEO poisoning campaign. The campaign utilizes these parameters to monetize its activities, often redirecting users to gambling sites. Detection is based on the presence of known affiliate codes in `RemoteUrl` from `DeviceNetworkEvents` or `RequestURL` from `CommonSecurityLog` (proxy/firewall logs).
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
5011
Detects sustained large HTTP POST requests indicating data exfiltration
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
106
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.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
108
Detects the staging of Miasma exfiltration payloads, specifically JSON files matching the 'results-*.json' naming convention, and Git operations interacting with these files. Miasma is known to exfiltrate harvested credentials by creating public GitHub repositories and committing encrypted JSON files with this specific naming convention.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
8023
Detects network connections to known ShinyHunters infrastructure, including specific IP addresses and DNS queries for 'azurenetfiles.net', which has been linked to their operations targeting Oracle PeopleSoft servers via gadget chain exploitation.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
5 months ago
5013
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 large HTTPS uploads used for data exfiltration over encrypted channels
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
007
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