Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
640 detections
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Detects outbound proxy traffic originating from identified AI and automation agent user-agents (e.g., ChatGPT, Perplexity, Claude, etc.) attempting to access sensitive URI paths, such as credential files, SSH keys, configuration files, or cloud-hosted secrets. This may indicate an attempt to exfiltrate sensitive data to or through AI platforms.
This rule detects HTTP POST requests containing a Content-Length header value indicating a body size exceeding 10MB. Large POST requests may indicate data exfiltration, large file uploads, or misuse of HTTP channels for data transfer to external destinations.
This rule detects large HTTP POST requests (greater than 10MB) originating from the internal network to external destinations, which may indicate bulk data exfiltration.
This rule detects unusually large network uploads from devices. It identifies successful network connections where individual transfers exceed 100MB and aggregates these transfers by account name and hour. The rule then flags any account that has uploaded a total of 1TB or more within a single hour. This pattern could indicate data exfiltration, unauthorized data synchronization, or other malicious activities involving significant data transfer volumes.
Detects the exploitation or configuration manipulation of the Firefox browser.smartwindow.enabled feature, which can be abused by an attacker to exfiltrate sensitive browser data such as history, tab URLs, and secret query-string parameters to a remote endpoint. The rule monitors for network connections containing known exfiltration path signatures, connections to hardcoded PoC server addresses, or the modification of configuration settings related to the SmartWindow feature.
This rule detects outbound HTTP requests to Bing's 'searchbyimage' functionality that contain an image URL pointing to a domain outside of Microsoft or Bing. This behavior is associated with a potential data exfiltration technique (referenced as CVE-2026-42824) where internal information is encoded into an image URL and passed to an external, attacker-controlled, or third-party web service via the Bing search engine to bypass traditional network egress controls.
Detects network connections from internal endpoints to Filen.io cloud storage domains and subdomains. The rule specifically flags interactions involving common API endpoints for file operations (upload, download, directory listing) as 'Critical' risk, while generic traffic to the domain is classified as 'High' risk.
Detects high-volume data access or exfiltration from Azure/Office 365 cloud environments via common scripting/automation user-agents. The rule monitors API requests to users, mail, drive, or files endpoints by non-standard clients (e.g., python, curl, Go) from previously unseen locations, calculating a risk score based on the number of endpoints accessed and the total data volume.
Detects the use of the rclone tool with data transfer commands (copy, move, sync, copyto, moveto) originating from a GoAnywhere server process or common interactive shell processes (cmd.exe, powershell.exe). This activity is highly suspicious and could indicate data exfiltration.
This rule detects devices making a high volume of successful network connections to GitHub's API endpoints (api.github.com or api.releases). A count of 5 or more successful connections within an hour from a single device is considered suspicious and could indicate data exfiltration, automated tooling, or unusual development activity.
This rule detects network connections to known cloud storage, file hosting, and webhook services (Discord, Pastebin, Dropbox, Telegram, AnonFiles) initiated by processes other than standard web browsers. Such behavior is often indicative of data exfiltration or C2 activity using legitimate web services to blend in with normal traffic.
Detects DNS queries to GitHub API domains originating from non-standard or potentially spoofed process names associated with various AI tools, which may indicate data exfiltration or unauthorized interaction with repositories.
Detects DNS queries to GitHub API domains originating from non-standard or potentially spoofed process names associated with various AI tools, which may indicate data exfiltration or unauthorized interaction with repositories.
Detects outbound web traffic directed towards common password management services (e.g., 1Password, LastPass, Bitwarden) originating from user agents associated with AI and LLM tools (e.g., OpenAI, Claude, Copilot). This combination of destinations and user agents is highly anomalous and may indicate potential credential exfiltration or interaction with automated agents acting on behalf of a user to access sensitive vault data.
Detects suspicious patterns of LLM API usage by monitoring outbound traffic to major LLM providers (OpenAI, Anthropic, Google, DeepSeek, Mistral, Cohere). The rule identifies potential API key theft ('LLMjacking') by flagging high request volumes from single keys, usage of the same key across multiple distinct source IP addresses, and direct outbound traffic bypassing established proxy/gateway configurations.
Detects HTTP traffic patterns consistent with data exfiltration to major cloud storage providers (AWS S3, Azure Blob Storage, Google Cloud Storage) using common command-line interface tools like rclone, aws-cli, and AzCopy.
Detects indicators associated with the 'smart_window' campaign targeting Firefox, which attempts to exfiltrate browser history and page content via unauthorized registry modifications, malicious file artifacts, and specific network communication patterns to localhost or external URLs.
This rule detects executions of 'winscp.exe' that are spawned by suspicious parent processes commonly associated with web servers or command interpreters (e.g., w3wp.exe, httpd.exe, powershell.exe). It also flags instances where WinSCP is invoked with command-line arguments indicative of automated scripts, custom configuration files, or remote transfer protocols (SFTP/SCP/FTP), which may indicate data staging or exfiltration activities.
Detects upload of executable files to file sharing services for staging
Detects network connections to Google Cloud services (calendar.google.com, googleapis.com) over port 443 originating from processes other than known web browsers or standard Google background applications. This behavior may indicate unauthorized tools, custom scripts, or malware using Google services for command and control or data exfiltration.
Detects potential data exfiltration from Microsoft 365 Copilot sessions where the Bing 'Search by Image' functionality is abused as an SSRF proxy. The rule identifies network requests containing external URLs within the 'imgurl' parameter, occurring shortly after Copilot activity, suggesting that internal or sensitive data (such as emails, calendar items, or MFA context) is being transmitted to an unauthorized external endpoint.
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