Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
379 detections
Filters
Last updated
All Time
Detection languages
170
71
34
34
18
Contributors
89
76
55
21
16
Categories
283
178
76
67
52
Platforms
222
84
83
61
34
Products / Services
92
66
57
37
33
MITRE Techniques
18,123
15,639
12,581
8,394
6,215
CVEs
5
1
1
1
1
IDS Classtypes
23
6
3
1
1
IDS Protocols
13
11
4
3
2
This rule aggregates Zscaler Internet Access (ZIA) logs to identify users with Data Loss Prevention (DLP) violations. It calculates the frequency of incidents and flags high-activity users for potential data exfiltration analysis.
Detects high-risk user behavior associated with unsanctioned or restricted Generative AI applications, specifically targeting large data uploads (potential data exfiltration) or repeated access following a coaching intervention.
Detects potentially unauthorized or suspicious file activities such as bulk downloads, external file sharing, or CASB policy violations monitored by Zscaler ZIA, which may indicate data exfiltration or policy non-compliance.
This rule detects potential data exfiltration via email by identifying mass near-identical background-image URLs in the body of an email. The rule looks for a high volume (8+) of distinct URLs that contain short parameters (indicative of encoded or smuggled data) within a single email. It further refines the detection by checking for the presence of specific CSS-like syntax often used in CSS-injection keylogging techniques to force the browser or email client to send background-image requests.
This rule detects potential data exfiltration via email by identifying mass near-identical background-image URLs in the body of an email. The rule looks for a high volume (8+) of distinct URLs that contain short parameters (indicative of encoded or smuggled data) within a single email. It further refines the detection by checking for the presence of specific CSS-like syntax often used in CSS-injection keylogging techniques to force the browser or email client to send background-image requests.
This rule detects high-volume outbound network traffic from a Google Cloud Platform (GCP) source IP to external (non-private/non-internal) destinations. It establishes a baseline of daily outbound traffic per source IP over time and triggers an alert if the current daily outbound volume exceeds 500MB and shows a significant increase (more than 3x the established average) compared to previous days. This behavior is often indicative of unauthorized data exfiltration or abnormal network activity.
Detects unusually large outbound data transfers (over 500MB) that may indicate data exfiltration preceding Chaos ransomware deployment, consistent with STAC4749 incidents where data was likely stolen before encryption.
This rule detects rapid, high-volume outbound network requests to a single remote host from common web browsers (msedge.exe, chrome.exe, outlook.exe, firefox.exe). It identifies suspicious behavior where a browser performs at least 10 requests to 10 distinct URLs in a 30-second window, which is indicative of potential per-keystroke exfiltration or automated data scraping.
This rule detects rapid, high-volume outbound network requests to a single remote host from common web browsers (msedge.exe, chrome.exe, outlook.exe, firefox.exe). It identifies suspicious behavior where a browser performs at least 10 requests to 10 distinct URLs in a 30-second window, which is indicative of potential per-keystroke exfiltration or automated data scraping.
Detects unusually large outbound data transfers (over 500MB) that may indicate data exfiltration preceding Chaos ransomware deployment, consistent with STAC4749 incidents where data was likely stolen before encryption.
Detects unusually large outbound data transfers (over 500MB) that may indicate data exfiltration preceding Chaos ransomware deployment, consistent with STAC4749 incidents where data was likely stolen before encryption.
Detects command-line execution associated with WhatsApp API contact synchronization, specifically looking for 'WPP.contact.getAllContacts' or 'WPP.contact.list' commands. This pattern may indicate automated or unauthorized scraping of contact lists via a messaging interface.
Tier 5 catch-all: flags files exhibiting a broad spread of TOKYOCORE-related strings across identity, C2, ransom-note/branding, destructive, file-operation, data-theft, and persistence clusters, regardless of which specific cluster dominates
Detects network connections originating from browser processes to domains associated with ModHeader-related C2 activity, specifically 'stanfordstudies.com' and 'extensions-hub.com'. This pattern is indicative of malicious browser extensions exfiltrating data or reaching out to command and control infrastructure.
Detects the execution of the MinIO Client (mc.exe) on Windows with command-line arguments indicating the interaction with external or arbitrary bucket and endpoint locations. This behavior is indicative of an attacker staging or exfiltrating data to an external S3-compatible cloud storage provider.
Detects the execution of the MinIO Client (mc.exe) on Windows with command-line arguments indicating the interaction with external or arbitrary bucket and endpoint locations. This behavior is indicative of an attacker staging or exfiltrating data to an external S3-compatible cloud storage provider.
Detects the execution of Microsoft Edge WebView2 (msedgewebview2.exe) as a child process of the NVIDIA system runtime (nvidia-sysruntime.exe). This pattern is associated with LabubaRAT, where the legitimate NVIDIA process is abused to launch WebView2 for command-and-control (C2) communication and data exfiltration.
Detects the execution of Microsoft Edge WebView2 (msedgewebview2.exe) as a child process of the NVIDIA system runtime (nvidia-sysruntime.exe). This pattern is associated with LabubaRAT, where the legitimate NVIDIA process is abused to launch WebView2 for command-and-control (C2) communication and data exfiltration.
Detects the execution of the MinIO Client (mc.exe) on Windows with command-line arguments indicating the interaction with external or arbitrary bucket and endpoint locations. This behavior is indicative of an attacker staging or exfiltrating data to an external S3-compatible cloud storage provider.
Detects outbound network traffic containing the string 'Secret: ', which indicates potential sensitive data exfiltration. The rule specifically targets the use of netcat-like behavior directed toward external endpoints, which are commonly associated with tunneling services like ngrok used to bypass network egress restrictions.
Detects the execution of Microsoft Edge WebView2 (msedgewebview2.exe) as a child process of the NVIDIA system runtime (nvidia-sysruntime.exe). This pattern is associated with LabubaRAT, where the legitimate NVIDIA process is abused to launch WebView2 for command-and-control (C2) communication and data exfiltration.
Page 7 of 19