Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potential data exfiltration by monitoring for anomalous user behavior across integrated SaaS applications. It flags accounts that perform high-frequency read, search, or view activities across three or more monitored SaaS platforms (Confluence, Jira, Slack, Google Workspace, Microsoft 365, or Bitbucket) within a 5-minute window, followed immediately by an upload or post activity to an external, non-integrated domain.
This rule detects potentially suspicious data exfiltration activities by identifying a pattern where a user authenticates or interacts with the Microsoft Purview service, followed closely (within 15 minutes) by a connection to an external domain that the organization has not established a historical communication pattern with in the last 30 days. This behavior may indicate an adversary is attempting to exfiltrate session tokens or sensitive data to an external server.
Detects the ChainDrop/Shai-Hulud 2.0 "Run Copilot" secrets-laundering technique: a CI workflow step dumping toJSON(secrets) to a format-results.txt artifact, followed by GitHub Actions artifact-API downloads using scraped ghs_ runner tokens and git ref deletion used to cover tracks.
WhiteCobra Operation Solidity Pro - Telegram Bot API exfiltration upload
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 CVE-2026-3055 Citrix NetScaler out-of-bounds memory-read exploitation via a GET request eliciting an oversized HTTP response body containing a leaked NSC_AAAC session cookie.
Detects outbound HTTPS traffic to api.telegram.org originating from non-standard or unsigned processes. This rule is designed to identify potential data exfiltration by malware (such as stealers or trojans) using the Telegram Bot API as a C2 or exfiltration channel. It relies on a companion rule to establish flowbits for legitimate client traffic.
Anomalously large outbound transfers over the WebRTC DataChannel from a Chrome/Edge process launched with --headless and --remote-debugging-port flags (no visible window), indicating exfiltration rather than routine interactive or automation-only browser use.
Detects anomalous activity in Microsoft 365 calendar events where potential C2 data is exfiltrated or synchronized. This is identified by the creation or modification of calendar events containing suspicious file names (e.g., File0.txt, File1.txt) or specific command-and-control markers within the event subject.
Anomalously large outbound transfers over the WebRTC DataChannel from a Chrome/Edge process launched with --headless and --remote-debugging-port flags (no visible window), indicating exfiltration rather than routine interactive or automation-only browser use.
Detects the execution of the McUploader component associated with the GigaWiper malware, which is used for file staging and exfiltration.
Detects the execution of the McUploader component associated with the GigaWiper malware, which is used for file staging and exfiltration.
Detects anomalous activity in Microsoft 365 calendar events where potential C2 data is exfiltrated or synchronized. This is identified by the creation or modification of calendar events containing suspicious file names (e.g., File0.txt, File1.txt) or specific command-and-control markers within the event subject.
Detects anomalous access to Outlook calendar attachments via the Microsoft Graph API, specifically targeting a file named 'file0.txt'. This activity may indicate a technique where attackers use calendar events as a covert channel for data exfiltration or delivery of malicious payloads.
Anomalously large outbound transfers over the WebRTC DataChannel from a Chrome/Edge process launched with --headless and --remote-debugging-port flags (no visible window), indicating exfiltration rather than routine interactive or automation-only browser use.
Detects the execution of the McUploader component associated with the GigaWiper malware, which is used for file staging and exfiltration.
Detects anomalous activity in Microsoft 365 calendar events where potential C2 data is exfiltrated or synchronized. This is identified by the creation or modification of calendar events containing suspicious file names (e.g., File0.txt, File1.txt) or specific command-and-control markers within the event subject.
Detects anomalous access to Outlook calendar attachments via the Microsoft Graph API, specifically targeting a file named 'file0.txt'. This activity may indicate a technique where attackers use calendar events as a covert channel for data exfiltration or delivery of malicious payloads.
Detects anomalous access to Outlook calendar attachments via the Microsoft Graph API, specifically targeting a file named 'file0.txt'. This activity may indicate a technique where attackers use calendar events as a covert channel for data exfiltration or delivery of malicious payloads.
Detects outbound HTTP POST requests destined for 'webhook.site' containing the string 'secret' in the request body. This is a common pattern used by attackers to exfiltrate small amounts of sensitive data or credentials to a public web service for collection.
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