CVE-2026-72726 in Discourseinfo

Summary

by MITRE • 08/10/2026

Discourse is an open-source discussion platform. Prior to 2026.1.6, 2026.5.2, 2026.6.1, and 2026.7.0, an authenticated user could eavesdrop on private AI bot conversations through the AI bot reply stream. The issue is fixed in 2026.1.6, 2026.5.2, 2026.6.1, and 2026.7.0.

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Analysis

by VulDB Data Team • 08/10/2026

This vulnerability represents a critical confidentiality breach in the Discourse platform's AI bot functionality, where authenticated users could access private conversation streams intended only for specific participants. The flaw existed across multiple version branches including 2026.1.x, 2026.5.x, 2026.6.x, and 2026.7.x releases, indicating a systemic issue in the platform's access control mechanisms for AI-generated content streams. The vulnerability specifically affected the AI bot reply stream functionality, which typically handles private conversations between users and AI assistants, creating a scenario where unauthorized users could intercept and eavesdrop on these sensitive exchanges.

The technical implementation of this vulnerability stems from inadequate access control validation within the streaming mechanism that delivers AI bot responses to users. When authenticated users accessed the platform's AI conversation features, the system failed to properly verify that each user had legitimate authorization to view specific private streams. This represents a classic case of insufficient authorization checking where the application assumes all authenticated users have access to all available resources within their session scope. The flaw likely manifests in how the platform handles WebSocket connections or HTTP streaming responses for AI bot conversations, where session tokens or user identifiers are not properly validated against conversation ownership or participant lists before transmitting data streams.

The operational impact of this vulnerability is significant as it compromises the privacy and confidentiality of private AI assistant conversations within the Discourse environment. Organizations using Discourse for sensitive communications, customer support, or internal collaboration could have had their private discussions exposed to unauthorized parties who happened to be authenticated users of the same platform. This breach affects not only individual user privacy but also organizational data protection policies, potentially exposing proprietary information, personal data, or confidential business communications that were intended to remain private between specific users and AI assistants.

From a cybersecurity framework perspective, this vulnerability aligns with CWE-639 Access Control Bypass and maps to ATT&CK technique T1566 Credential Stuffing in the context of unauthorized access through session manipulation. The flaw demonstrates poor separation of concerns in the platform's architecture where user authentication does not effectively translate to proper resource isolation within streaming contexts. Organizations should implement comprehensive access control verification mechanisms that ensure users can only access conversations they are explicitly authorized to view, particularly in environments where sensitive data flows through real-time communication channels. The fix implemented in versions 2026.1.6, 2026.5.2, 2026.6.1, and 2026.7.0 likely involved strengthening session validation checks within the AI streaming endpoints and implementing proper conversation ownership verification before transmitting private bot response streams to authenticated users.

Responsible

GitHub M

Reservation

08/10/2026

Disclosure

08/10/2026

Moderation

accepted

CPE

ready

EPSS

0.00000

KEV

no

Activities

very low

Sources

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