CVE-2025-62419

Oct. 17, 2025, 6:15 p.m.

8.2
High

Description

DataEase is a data visualization and analytics platform. In DataEase versions through 2.10.13, a JDBC URL injection vulnerability exists in the DB2 and MongoDB data source configuration handlers. In the DB2 data source handler, when the extraParams field is empty, the HOSTNAME, PORT, and DATABASE values are directly concatenated into the JDBC URL without filtering illegal parameters. This allows an attacker to inject a malicious JDBC string into the HOSTNAME field to bypass previously patched vulnerabilities CVE-2025-57773 and CVE-2025-58045. The vulnerability is fixed in version 2.10.14. No known workarounds exist.

Product(s) Impacted

Vendor Product Versions
Dataease
  • Dataease
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-502
Deserialization of Untrusted Data
The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid.

*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 dataease dataease / / / / / / / /

CVSS Score

8.2 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: PRESENT
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: HIGH
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/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. 17, 2025, 6:15 p.m.
Last Modified: Oct. 17, 2025, 6:15 p.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.