CVE-2025-40649

Oct. 8, 2025, 7:38 p.m.

5.1
Medium

Description

Stored Cross-Site Scripting (XSS) in Biobanking and Biomolecular Resources Negotiator v3.15.2 - European Research Infrastructure (BBMRI-ERIC), consisting of a stored XSS due to a lack of proper validation of user input by sending a POST request using parameter text in '/api/v3/negotiations/<postUID>/posts'. This vulnerability could allow a remote user to send a specially crafted query to an authenticated user and steal their cookie session details.

Product(s) Impacted

Vendor Product Versions
Bbmriec
  • Biobanking And Biomolecular Resources Negotiator
  • 3.15.2

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 bbmriec biobanking_and_biomolecular_resources_negotiator 3.15.2 / / / / / / /

CVSS Score

5.1 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: PASSIVE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: Oct. 7, 2025, 1:15 p.m.
Last Modified: Oct. 8, 2025, 7:38 p.m.

Status : Awaiting Analysis

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

More info

Source

cve-coordination@incibe.es

*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.