Researchers from Zafran Security have identified 'DifyTap,' a suite of four vulnerabilities within the Dify open-source AI orchestration platform. These flaws, including CVE-2026-41947, CVE-2026-0343, and CVE-2025-56520, enable unauthenticated attackers to bypass tenant isolation via the orchestration layer. By exploiting the platform's tracing system, attackers can establish persistent, stealthy channels for the exfiltration of AI-generated responses, user conversations, and tenant-specific documents. This vulnerability poses a systemic risk to over 1 million AI applications across 60+ industries, allowing for large-scale, cross-tenant data leakage and unauthorized access to sensitive AI-driven workflows and proprietary datasets.

• Vulnerability Overview
  • Identification of the 'DifyTap' vulnerability suite by Zafran Security researchers.
  • Targeting of the Dify open-source AI orchestration framework and its multi-tenant architecture.
  • Primary threat vectors include cross-tenant data exposure and unauthenticated access.
• Vulnerability Mechanics: The Tracing Vector
  • Exploitation of the Dify Tracing System to circumvent existing authentication protocols.
  • Establishment of persistent, stealthy exfiltration channels for real-time data capture.
  • Unauthorized interception of AI-generated content, user prompts, and conversational metadata.
  • Capability to access tenant-specific documents and proprietary datasets stored within the platform.
• Impact and Exploitation Status
  • Potential compromise of over 1 million AI-driven applications globally.
  • Broad systemic reach impacting more than 60 diverse industrial sectors.
  • High-severity risk to enterprise-grade multi-tenant isolation and data privacy.
  • Exposure of highly sensitive conversational intelligence and private corporate documentation.
• Detection and Mitigation
  • Immediate application of security patches for identified CVEs to the Dify orchestration layer.
  • Rigorous auditing of Dify Tracing System configurations and permission models.
  • Implementation of egress monitoring to identify anomalous, persistent outbound communication.
  • Continuous validation of tenant separation integrity within AI-orchestrated environments.