Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network activity initiated by the WinSCP utility, or DNS queries and HTTP requests directed toward easyupload.io, a common file-sharing site. This behavior may indicate an adversary staging or exfiltrating data to an external, potentially unauthorized location.
Detects outbound HTTP requests matching the VPN Go clipboard-stealer exfiltration pattern: a request to /html/continue.php carrying the uid, part, total, and data query parameters used to reassemble chunked clipboard contents server-side. URI-pattern based, so it catches infrastructure rotation beyond the known IOC hosts.
This rule detects network connections to specific IP addresses and ports (1259, 1269) via UDP, or the presence of a file with a specific SHA256 hash. This combination could indicate command and control (C2) communication or data exfiltration using a custom UDP protocol.
Detects anomalous activities targeting SaaS CRM applications (Salesforce, Microsoft Dynamics 365, HubSpot), including high-volume bulk exports, off-hours access, mass API queries for sensitive objects, and suspicious OAuth token grants.
Detects outbound HTTP POST requests to dynv6 dynamic DNS providers containing specific multipart form data patterns, including filenames like 'Info.txt', indicative of data exfiltration by the Kimsuky threat group using custom C2 staging scripts.
This rule detects the presence of KVM-over-IP devices and spoofed USB peripherals, which are commonly associated with illicit remote access, particularly by DPRK IT workers.
Detects browser processes performing DNS resolution for Bing search endpoints immediately following access to M365 Copilot services within the same process storyline. This pattern is indicative of a SearchLeak exploitation chain where an adversary leverages M365 Copilot search to perform SSRF, using Bing as a proxy for data exfiltration.
This rule detects indicators of activity associated with a Firefox smart_window PoC, specifically designed to exfiltrate private browsing URLs. It monitors for suspicious network connections from the Firefox process to port 8765, the creation of PoC-related scripts, and the execution of associated Node.js processes or command lines.
Detects outbound network connections to common Mythic C2 ports initiated by processes identified as compiler-related binaries (Go, Zig, Rust) or binaries running from suspicious, user-writable directories (Temp, AppData, etc.). This behavior is consistent with the execution of staging or initial implants associated with the Mythic post-exploitation framework.
Detects Python processes spawned by development tools (VSCode, Cursor) or Node.js that are engaged in suspicious activities, specifically communicating with the Telegram Bot API or uploading large amounts of data, often accompanied by file staging (ZIP archive creation). This behavior is characteristic of the InvisibleFerret information stealer.
Detects the Yuta/Glove stealer malware (winupdate.exe) communicating with Discord webhooks or API endpoints. This behavior is indicative of data exfiltration or receipt of interactive RAT commands, such as shell, webcam, keylogger, and system tracing.
Detects network communication behavior indicative of Yuta or Glove Stealer malware, where suspicious processes (specifically 'winupdate.exe' in common staging directories or Python-based requests) exfiltrate data via HTTP POST requests to known attacker-controlled infrastructure platforms like Discord or Telegram.
This rule detects the execution of rclone.exe with command-line arguments indicative of data exfiltration to cloud storage providers (mega.nz, Dropbox, OneDrive) or via SFTP. This behavior is commonly associated with ransomware threat actors, such as those observed in the STAC4713 and STAC3725 campaigns (GOLD ENCOUNTER), who utilize rclone to stage and exfiltrate sensitive data prior to deploying ransomware.
This rule detects network connections to or from known suspicious IP addresses and requests to known suspicious domains. These indicators are often associated with command and control (C2) activity, malware distribution, or other malicious infrastructure.
This rule detects network connections to a specific Discord webhook URL and another suspicious domain (78smp.com/m/). This pattern is often associated with malware attempting to exfiltrate data or establish command and control (C2) via Discord webhooks, or other suspicious domains.
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.
Detects potential DNS-based command and control (C2) or exfiltration behavior by monitoring for DGA-like domain patterns, high-volume DNS requests, and the use of command-line tools (nslookup.exe, dnscmd.exe) to perform TXT record lookups often associated with data exfiltration.
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.
Detects DNS query traffic where the subdomain label length exceeds 50 characters and contains patterns consistent with Base64 or Hexadecimal encoding. This behavior is indicative of potential data exfiltration or command-and-control communication performed over the DNS protocol by tunneling data within query labels.
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 identifies devices that send a large volume of data (over 100 MB) over HTTPS ports (443 or 8443) within a one-hour window. This activity could be indicative of data exfiltration, unauthorized large file transfers, or other suspicious network activity.
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