CVE-2023-39517

June 21, 2024, 8:15 p.m.

8.2
High

Description

Joplin is a free, open source note taking and to-do application. A Cross site scripting (XSS) vulnerability in affected versions allows clicking on an untrusted image link to execute arbitrary shell commands. The HTML sanitizer (`packages/renderer/htmlUtils.ts::sanitizeHtml`) preserves `<map>` `<area>` links. However, unlike `<a>` links, the `target` and `href` attributes are not removed. Additionally, because the note preview pane isn't sandboxed to prevent top navigation, links with `target` set to `_top` can replace the toplevel electron page. Because any toplevel electron page, with Joplin's setup, has access to `require` and can require node libraries, a malicious replacement toplevel page can import `child_process` and execute arbitrary shell commands. This issue has been fixed in commit 7c52c3e9a81a52ef1b42a951f9deb9d378d59b0f which is included in release version 2.12.8. Users are advised to upgrade. There are no known workarounds for this vulnerability.

Product(s) Impacted

Product Versions
Joplin
  • 2.12.8

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-79
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.

CVSS Score

8.2 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: CHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: LOW
  • Availability Impact: LOW
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:L/A:L

    View Vector String

Timeline

Published: June 21, 2024, 8:15 p.m.
Last Modified: June 21, 2024, 8:15 p.m.

Status : Received

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

More info

Source

security-advisories@github.com

*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.