CVE-2026-44785

June 12, 2026, 9:16 p.m.

4.3
Medium

Description

Discourse is an open-source discussion platform. From versions 2026.1.0-latest to before 2026.1.4, 2026.3.0-latest to before 2026.3.1, and 2026.4.0-latest to before 2026.4.1, the AI "explain" helper only checks can_see? on the post being explained, not its reply_to_post, so any authenticated user with access to the AI helper could read the raw contents of a hidden parent post by invoking "Explain" on a reply to it. This issue has been patched in versions 2026.1.4, 2026.3.1, 2026.4.1, and 2026.5.0-latest.1.

Product(s) Impacted

Vendor Product Versions
Discourse
  • Discourse
  • 2026.1.0-2026.1.4, 2026.3.0-2026.3.1, 2026.4.0-2026.4.1, 2026.1.4, 2026.3.1, 2026.4.1

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-200
Exposure of Sensitive Information to an Unauthorized Actor
The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a discourse discourse 2026.1.0-2026.1.4 / / / / / / /
a discourse discourse 2026.3.0-2026.3.1 / / / / / / /
a discourse discourse 2026.4.0-2026.4.1 / / / / / / /
a discourse discourse 2026.1.4 / / / / / / /
a discourse discourse 2026.3.1 / / / / / / /
a discourse discourse 2026.4.1 / / / / / / /

CVSS Score

4.3 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N

    View Vector String

Timeline

Published: June 12, 2026, 9:16 p.m.
Last Modified: June 12, 2026, 9:16 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.