CVE-2025-61589

Oct. 3, 2025, 7:15 a.m.

5.9
Medium

Description

Cursor is a code editor built for programming with AI. In versions 1.6 and below, Mermaid (a to render diagrams) allows embedding images which then get rendered by Cursor in the chat box. An attacker can use this to exfiltrate sensitive information to a third-party attacker controlled server through an image fetch after successfully performing a prompt injection. A malicious model (or hallucination/backdoor) might also trigger this exploit at will. This issue requires prompt injection from malicious data (web, image upload, source code) in order to exploit. In that case, it can send sensitive information to an attacker-controlled external server. Some additional bypasses not covered in the initial fix to this issue were discovered, see GHSA-43wj-mwcc-x93p. This issue is fixed in version 1.7.

Product(s) Impacted

Vendor Product Versions
Cursor
  • Cursor
  • <1.7

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-200
Exposure of Sensitive Information to an Unauthorized Actor
The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.

*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 cursor cursor <1.7 / / / / / /

CVSS Score

5.9 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N

    View Vector String

Timeline

Published: Oct. 3, 2025, 7:15 a.m.
Last Modified: Oct. 3, 2025, 7:15 a.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.