CVE-2026-46642

June 10, 2026, 6:17 p.m.

6.1
Medium

Description

draw.io is a configurable diagramming and whiteboarding application. Prior to version 29.7.12, a crafted .drawio file can execute arbitrary JavaScript in the editor's origin when the file is opened. The vulnerability is not in the label sanitizer (which works correctly on the rendering path) but in a feature-detection routine in the Text Format panel that reads the raw cell label and assigns it to a detached element's innerHTML without sanitization. Browsers fire onerror for failed image loads even on detached elements, so an <img src=x onerror=...> payload in any cell label triggers script execution as soon as the cell is selected — which import does automatically. This issue has been patched in version 29.7.12.

Product(s) Impacted

Vendor Product Versions
Diagrams.net
  • Draw.io
  • *, 29.7.12

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.

*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 diagrams.net draw.io / / / / / / / /
a diagrams.net draw.io 29.7.12 / / / / / / /

CVSS Score

6.1 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: June 10, 2026, 6:17 p.m.
Last Modified: June 10, 2026, 6:17 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.