CVE-2025-49003

June 26, 2025, 6:57 p.m.

8.9
High

Description

DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.11, a threat actor may take advantage of a feature in Java in which the character "ı" becomes "I" when converted to uppercase, and the character "ſ" becomes "S" when converted to uppercase. A threat actor who uses a carefully crafted message that exploits this character conversion can cause remote code execution. The vulnerability has been fixed in v2.10.11. No known workarounds are available.

Product(s) Impacted

Vendor Product Versions
Dataease
  • Dataease
  • <2.10.11

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-153
Improper Neutralization of Substitution Characters
The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could be interpreted as substitution characters when they are sent to a downstream component.

*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 <2.10.11 / / / / / / /

CVSS Score

8.9 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/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: June 26, 2025, 2:15 p.m.
Last Modified: June 26, 2025, 6:57 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.