CVE-2026-50159

Description

A flaw was found in Mermaid, a JavaScript tool for creating diagrams and charts. An attacker who can provide diagram text can inject arbitrary CSS (Cascading Style Sheets) into the rendered web page. This is possible due to a vulnerability in how sibling combinator selectors are generated from diagram-supplied class or ID names. Successful exploitation could allow the attacker to alter the appearance or behavior of other elements on the page, potentially leading to information disclosure or visual defacement.

Statement

Red Hat ships Mermaid embedded in the same code-server based developer workbench images: OpenShift AI's odh-workbench-codeserver-datascience-cpu-py312 workbench image and OpenShift Dev Spaces' code-rhel9 image. The bundled version (>=11.0.0-alpha.1,<11.16.1) allows an attacker who controls diagram text to inject arbitrary CSS via sibling combinator selectors generated from diagram-supplied class or ID names, altering the appearance of the rendered page.

Mitigation

Avoid rendering untrusted or externally-sourced Mermaid diagram definitions in the affected workbench images until the pinned mermaid dependency is upgraded to 11.16.1 or later.

Common Vulnerability Scoring System (CVSS) Score Details

Info alert:Important note

CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).

The following CVSS metrics and score provided are preliminary and subject to review.

CVSS v3 Score Breakdown

Red HatNVDcve.org
Base Score4.3N/AN/A
Attack VectorNetworkN/AN/A
Attack ComplexityLowN/AN/A
Privileges RequiredNoneN/AN/A
User InteractionRequiredN/AN/A
ScopeUnchangedN/AN/A
ConfidentialityNoneN/AN/A
Integrity ImpactLowN/AN/A
Availability ImpactNoneN/AN/A

Vector

Red Hat: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N

Understanding the Weakness (CWE)

Access Control,Confidentiality

Technical Impact: Bypass Protection Mechanism; Read Application Data

The most common attack performed with cross-site scripting involves the disclosure of private information stored in user cookies, such as session information. Typically, a malicious user will craft a client-side script, which -- when parsed by a web browser -- performs some activity on behalf of the victim to an attacker-controlled system (such as sending all site cookies to a given E-mail address). This could be especially dangerous to the site if the victim has administrator privileges to manage that site. This script will be loaded and run by each user visiting the web site. Since the site requesting to run the script has access to the cookies in question, the malicious script does also.

Integrity,Confidentiality,Availability

Technical Impact: Execute Unauthorized Code or Commands

In some circumstances it may be possible to run arbitrary code on a victim's computer when cross-site scripting is combined with other flaws, for example, "drive-by hacking."

Confidentiality,Integrity,Availability,Access Control

Technical Impact: Execute Unauthorized Code or Commands; Bypass Protection Mechanism; Read Application Data

The consequence of an XSS attack is the same regardless of whether it is stored or reflected. The difference is in how the payload arrives at the server. XSS can cause a variety of problems for the end user that range in severity from an annoyance to complete account compromise. Some cross-site scripting vulnerabilities can be exploited to manipulate or steal cookies, create requests that can be mistaken for those of a valid user, compromise confidential information, or execute malicious code on the end user systems for a variety of nefarious purposes. Other damaging attacks include the disclosure of end user files, installation of Trojan horse programs, redirecting the user to some other page or site, running "Active X" controls (under Microsoft Internet Explorer) from sites that a user perceives as trustworthy, and modifying presentation of content.

Frequently Asked Questions

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