CVE-2025-11442

Oct. 9, 2025, 4:15 p.m.

5.3
Medium

Description

A security flaw has been discovered in JhumanJ OpnForm up to 1.9.3. The impacted element is an unknown function of the component API Endpoint. The manipulation results in cross-site request forgery. The attack may be performed from remote. The exploit has been released to the public and may be exploited. The vendor has stated that API calls require authentication through Authorization Bearer Tokens, so classic CSRF attacks do not apply here. An attacker would need to possess the JWT through means such as XSS which were mitigated, disabling any form of initial access.

Product(s) Impacted

Vendor Product Versions
Jhumanj
  • Opnform
  • *

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 jhumanj opnform / / / / / / / /

CVSS Score

5.3 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: PASSIVE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: LOW
  • Availability Impact: NONE
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:P/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. 8, 2025, 8:15 a.m.
Last Modified: Oct. 9, 2025, 4:15 p.m.

Status : Analyzed

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

More info

Source

cna@vuldb.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.