Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects potential data exfiltration (CVE-2026-42824) where an attacker leverages an SSRF vulnerability in Bing's search-by-image functionality to relay sensitive M365 Copilot data. The rule identifies outbound network requests to the image search endpoint containing a suspicious 'imgurl' parameter pointing to non-Microsoft infrastructure, initiated by common web browser processes.
This rule detects attempts to exploit Microsoft 365 Copilot through prompt injection, where attackers inject HTML/script elements into search queries. It specifically identifies when these queries attempt to force Copilot to interact with external URLs via Bing image search (SSRF), potentially exfiltrating sensitive data such as MFA codes, email content, or meeting details to an attacker-controlled external domain.
This rule detects network connections or DNS queries originating from common web browsers (chrome.exe, msedge.exe, chromium.exe) towards domains related to Perplexity AI. Such activity may indicate data exfiltration or the use of AI tools for processing sensitive organizational data via browser-based interfaces.
Detects an unusually large data transfer (greater than 5MB) from an internal MySQL server to an external network, which may indicate unauthorized database record exfiltration or data dumping.
Detects outbound network communication to an IP address (64.20.53.230) identified as a staging server associated with the JadePuffer activity. This activity involves potential data exfiltration following self-narrated deletion payloads.
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.
This rule detects suspicious network connections originating from internal IP addresses to common service ports (DNS, SMB, RDP, WinRM) on remote, non-internal IP addresses. It flags instances where a single process on a device makes 10 or more such connections within an hour, which could indicate reconnaissance, lateral movement, or data exfiltration attempts.
Detects HTTP POST requests directed at a specific suspicious endpoint (/service/save.php) on a known malicious host (83.138.53.110), consistent with the exfiltration behavior of the FortiBleed EKZ stealer malware. The rule identifies potential credential theft and exfiltration over standard web protocols.
This rule detects an unusually high volume of object close operations (Event ID 4658) by a single user on a single computer within a one-hour window. This activity could indicate various malicious behaviors, including data collection for exfiltration, attempts to delete numerous files, or resource exhaustion attacks.
Detects potential data exfiltration activity to the file sharing service 'easyupload.io' by monitoring DNS queries, HTTP POST requests, and general network connections to the domain.
This rule detects unauthorized exfiltration of stolen browser and credential data by the Yuta/Glove Stealer malware (winupdate.exe). It identifies outbound HTTPS network connections from the specific indicator file path '%APPDATA%\.cache\winupdate.exe' to known C2 endpoints, including Discord webhooks, Telegram bot APIs, or connections utilizing the 'python-requests' user agent.
Detects network connections to hardcoded threat-actor IPs used by the VPN Go extensions for clipboard exfiltration (/html/continue.php) and proxy-location retrieval (/locations). Covers Chrome 1.1-1.3 and Firefox 1.3.3-1.3.4 infrastructure.
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.
This rule detects suspicious large file transfers over the network, specifically looking for connections where more than 100MB (104857600 bytes) of data has been sent or received. It then aggregates these transfers by device and remote IP within one-hour bins and flags if five or more such large transfers occur within that hour. This behavior can be indicative of data exfiltration, often associated with ransomware attacks or other malicious data theft activities.
Detects high-volume outbound network connections (exceeding 10MB) originating from processes associated with AI-driven chatbot or productivity applications (e.g., ChatGPT, Perplexity). This rule identifies potential data exfiltration occurring over legitimate, expected software channels.
This rule detects potential data exfiltration by monitoring for the creation of zip archives followed by an network connection to Telegram's API by the same device within a 10-minute window. This behavior often indicates that a user or an attacker is staging data in an archive and subsequently uploading it to a cloud file-sharing service.
Detects unauthorized execution of AWS CLI commands within a shell spawned by Amazon Q or AWS language server processes. This activity typically involves the 'aws sts get-caller-identity' command being piped to 'curl' for remote exfiltration of cloud credentials, a behavior associated with the exploitation of CVE-2026-12957 in MCP auto-execution.
Detects anomalous outbound network traffic from Firefox processes indicative of CVE-2025-15661 exploitation. The rule monitors for communication with a specific non-standard port (8765) associated with a SmartWindow PoC server, or requests containing suspicious URI query parameters ('u0', 'u1', 'u2', 'source=history') frequently used for exfiltrating private browsing tabs and history via the '/leak' endpoint.
This rule detects when a single user downloads 100 or more files from SharePoint within a one-hour period. This activity could indicate data exfiltration or unauthorized bulk access to sensitive documents.
This rule detects a suspicious volume of file copy activity (over 200 files) to a non-local drive (potentially a removable/USB device) occurring within 24 hours of an account being deleted or disabled on the same host. This pattern may indicate an insider threat or an adversary attempting to exfiltrate sensitive data shortly before or after losing authorized access to an account.
Detects high volume HTTPS outbound traffic (greater than 50MB within a 5-minute window) from a host that does not show evidence of preceding file encryption or volume shadow copy deletion activity. This rule is designed to identify potential unauthorized data exfiltration that deviates from typical ransomware-associated behavior patterns.
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