CVE-2025-59428

Oct. 14, 2025, 7:36 p.m.

5.4
Medium

Description

EspoCRM is an open source customer relationship management application. In versions before 9.1.9, a vulnerability allows arbitrary user creation, including administrative accounts, through a combination of stored SVG injection and lack of CSRF protection. An attacker with Knowledge Base edit permissions can embed a malicious SVG element containing a link in the body field of an article. When an authenticated user clicks the malicious link, they are redirected to an attacker-controlled HTML page that executes a CSRF request against the api/v1/User endpoint. If the victim is prompted for and enters their credentials, an attacker-controlled account is created with privileges determined by the CSRF payload. This issue has been patched in version 9.1.9.

Product(s) Impacted

Vendor Product Versions
Espocrm
  • Espocrm
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-352
Cross-Site Request Forgery (CSRF)
The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request.

*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 espocrm espocrm / / / / / / / /

CVSS Score

5.4 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: Oct. 14, 2025, 3:16 p.m.
Last Modified: Oct. 14, 2025, 7:36 p.m.

Status : Awaiting Analysis

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.