Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,686 detections
Filters
Last updated
All Time
Detection languages
1,342
389
264
219
197
Contributors
620
506
358
209
102
Categories
20,456
11,839
5,876
5,155
4,865
2,686
Platforms
1,168
638
452
382
359
Products / Services
593
445
403
264
229
MITRE Techniques
1,884
787
525
521
510
CVEs
11
5
5
5
3
IDS Classtypes
189
133
34
10
7
IDS Protocols
243
58
33
22
12
Detects outbound HTTP requests to the Telegram Bot API that indicate the exfiltration of sensitive camera credentials or snapshots. The rules identify specific API endpoints such as '/sendPhoto' and the presence of Markdown-formatted text containing 'Login:', 'Password:', and 'Model:' fields within the request body.
This rule detects PowerShell script execution that interacts with the GitHub API, specifically targeting the upload of files or JSON data to repository endpoints. The logic looks for commands related to file system access, inclusion of 'api.github.com', and references to 'SmartUploader' or 'uploaded_files.json'. It further filters for activity occurring within standard user directories and enforces a check to ensure the GitHub repository name matches the local hostname, which is a common indicator of automated exfiltration scripts.
Detects evidence of PSNATCH or BASHNATCH tools exfiltrating data to GitHub. The rule identifies suspicious file operations related to an 'SmartUploader' tracking file in standard user directories (AppData, .local/share), monitors for SmartUploader process execution, and flags network connections to api.github.com from processes identified as SmartUploader, bash, or PowerShell.
Detects network activity associated with the Rapuncel malware, including raw TCP exfiltration of files via POST requests to /upload, connections to known malicious C2 infrastructure, and repeated exfiltration retry patterns.
Detects outbound TCP traffic containing system reconnaissance data, such as OS information, computer name, and location, being sent to a known C2 server address. The rule monitors for specific content patterns indicative of an infected host checking in or exfiltrating host configuration details.
Detects outbound SMTP communication to Gmail servers containing specific indicators of compromise (sender, recipient, or subject line) associated with the LucidKnight (LucidRook) malware campaign, indicating potential reconnaissance data exfiltration.
Detects the Comet browser process, typically associated with AI-agent operations, accessing sensitive browser profile files (e.g., History, Bookmarks, Login Data, Cookies) followed by outbound network communication within a 15-minute window, excluding known legitimate paths.
Detects the Comet browser process, typically associated with AI-agent operations, accessing sensitive browser profile files (e.g., History, Bookmarks, Login Data, Cookies) followed by outbound network communication within a 15-minute window, excluding known legitimate paths.
This rule monitors for high-frequency download or access events of files associated with AI development, such as model weights (.pt, .ckpt, .safetensors, .h5, .onnx, .pkl, .pb), checkpoints, and research datasets from cloud storage. It triggers when an account accesses or downloads 20 or more unique AI-related files within a 60-minute window, which is indicative of unauthorized data exfiltration of intellectual property.
Detects rapid access to multiple Microsoft 365 collection applications (Office, OneDrive, Teams) by a user account from specific AWS EC2 IP ranges identified as associated with the TeamFiltration tool. This behavior is consistent with automated exfiltration of email, chats, and files.
This rule detects network upload operations (HTTP POST or similar requests ending in '/upload') to a specific external IP address (2.26.126.50). It specifically monitors for processes other than common web browsers, and filters for connections where significant data volume (greater than 10KB) is transferred or the data size is unknown.
Detects rapid access to multiple Microsoft 365 collection applications (Office, OneDrive, Teams) by a user account from specific AWS EC2 IP ranges identified as associated with the TeamFiltration tool. This behavior is consistent with automated exfiltration of email, chats, and files.
This rule detects malicious activity associated with the Bazinga macOS backdoor, specifically focusing on the clearing of TCC privacy permissions, the staging of keychain and browser data using 'ditto', and the subsequent exfiltration of this data to a remote host via 'curl'.
Detects the creation or modification of Microsoft Power Automate flows that integrate internal Microsoft 365 services (SharePoint, OneDrive, Exchange) with external communication or exfiltration targets (HTTP requests, external email addresses, or common external web services). This behavior is often indicative of automated data exfiltration.
Detects the creation or modification of Microsoft Power Automate flows that integrate internal Microsoft 365 services (SharePoint, OneDrive, Exchange) with external communication or exfiltration targets (HTTP requests, external email addresses, or common external web services). This behavior is often indicative of automated data exfiltration.
Detects the creation or modification of Microsoft Power Automate flows that integrate internal Microsoft 365 services (SharePoint, OneDrive, Exchange) with external communication or exfiltration targets (HTTP requests, external email addresses, or common external web services). This behavior is often indicative of automated data exfiltration.
Detects the creation or modification of Microsoft Power Automate flows that integrate internal Microsoft 365 services (SharePoint, OneDrive, Exchange) with external communication or exfiltration targets (HTTP requests, external email addresses, or common external web services). This behavior is often indicative of automated data exfiltration.
This rule monitors network traffic for requests directed at a specific domain ('luizestrelhashapr.online') and path ('/google_api/b83fa72d.css'), which is identified in threat intelligence as an indicator of browser history exfiltration.
Detects the creation or modification of Microsoft Power Automate flows that integrate internal Microsoft 365 services (SharePoint, OneDrive, Exchange) with external communication or exfiltration targets (HTTP requests, external email addresses, or common external web services). This behavior is often indicative of automated data exfiltration.
Detects outbound web or proxy connections to known consumer-grade cloud storage and file-sharing services. This activity is often indicative of data exfiltration, where an adversary uploads staged or archived sensitive data to third-party file hosting services (e.g., Mega, Dropbox, transfer.sh, pastebin) to bypass traditional enterprise exfiltration controls.
Detects an identity that performs a 'ListSecrets' operation followed by a high volume of 'GetSecretValue' or 'BatchGetSecretValue' requests within a short timeframe (15 minutes). This behavioral pattern is indicative of automated bulk exfiltration of secrets from AWS Secrets Manager, a common activity following an initial cloud environment compromise.
Page 24 of 128