CVE-2026-27656
vulnerability analysis and mitigation

Overview

CVE-2026-27656 is an authentication bypass vulnerability in Mattermost Server caused by an incorrect implementation of the OpenID IsSameUser() comparison logic (Mattermost Advisory ID: MMSA-2026-00590). The flaw allows an attacker to take over arbitrary user accounts via an overly permissive substring matching flaw in the user discovery flow. Affected versions include 11.4.x ≤ 11.4.0, 11.3.x ≤ 11.3.1, 11.2.x ≤ 11.2.3, and 10.11.x ≤ 10.11.11. It carries a CVSS v3.1 base score of 6.1 (Medium/High) per NVD, and 5.7 per ENISA (Mattermost Security, Red Hat CVE, ENISA EUVD).

Technical details

The root cause is classified as CWE-303 (Incorrect Implementation of Authentication Algorithm). Specifically, the IsSameUser() function used during OpenID-based user discovery performs substring matching rather than exact identity comparison, allowing an attacker-controlled identity to match against a legitimate user's identifier. Exploitation requires the attacker to have high privileges and requires user interaction (e.g., a victim completing an OpenID authentication flow), after which the attacker can hijack the matched user's account. No public proof-of-concept code has been identified (Mattermost Security, ENISA EUVD).

Impact

Successful exploitation allows a high-privileged attacker to take over arbitrary Mattermost user accounts, resulting in high confidentiality and integrity impact — including unauthorized access to private messages, channels, and sensitive organizational data, as well as impersonation of legitimate users. Availability is not directly impacted. The account takeover could enable lateral movement within the Mattermost environment, potentially exposing additional users or integrated systems (Mattermost Security, ENISA EUVD).

Exploitation steps

  1. Reconnaissance: Identify a target Mattermost instance running a vulnerable version (10.11.0–10.11.11, 11.2.0–11.2.3, 11.3.0–11.3.1, or 11.4.0) with OpenID authentication enabled.
  2. Attacker account setup: Obtain or control a high-privileged account on the Mattermost instance, or register an identity with an OpenID provider whose identifier is a substring of a target user's identifier.
  3. Trigger user discovery flow: Initiate an OpenID authentication flow that causes the server to invoke the IsSameUser() comparison logic against existing user accounts.
  4. Exploit substring match: Craft the attacker's OpenID identity so that it matches as a substring of the target user's identifier, causing IsSameUser() to incorrectly return a positive match.
  5. Account takeover: The server associates the attacker's session with the target user's account, granting full access to that user's messages, channels, and data (Mattermost Security, ENISA EUVD).

Indicators of compromise

  • Logs: Mattermost server logs showing OpenID authentication events where a user session is established for an account that does not match the authenticating identity provider's exact subject claim; unexpected login events for high-value accounts via OpenID.
  • Network: Unusual OpenID callback requests where the sub (subject) claim is a partial string of a known user's identifier.
  • Behavioral: Users reporting unexpected session activity or unauthorized access; accounts showing login events from unfamiliar IP addresses or identity providers not previously associated with that account.

Mitigation and workarounds

Mattermost has released patched versions addressing this vulnerability. Organizations should upgrade to one of the following minimum safe versions: 10.11.12, 11.2.4, 11.3.2, or 11.4.1. For organizations unable to patch immediately, Mattermost recommends implementing strict access controls and monitoring of OpenID authentication events, restricting OpenID authentication to trusted identity providers only, and monitoring for suspicious account takeover attempts (Mattermost Security, ENISA EUVD).

Community reactions

The vulnerability was noted on Bluesky via automated CVE tracking accounts shortly after disclosure. Red Hat published a CVE advisory page tracking the issue. No significant independent researcher commentary or major media coverage has been identified beyond standard vulnerability database entries (Red Hat CVE).

Additional resources


SourceThis report was generated using AI

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