CVE-2025-8227

July 28, 2025, 3:15 p.m.

5.3
Medium

Description

A vulnerability was found in yanyutao0402 ChanCMS up to 3.1.2. It has been declared as critical. Affected by this vulnerability is an unknown functionality of the file /collect/getArticle. The manipulation of the argument taskUrl leads to deserialization. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. Upgrading to version 3.1.3 is able to address this issue. The patch is named 33d9bb464353015aaaba84e27638ac9a3912795d. It is recommended to upgrade the affected component.

Product(s) Impacted

Vendor Product Versions
Yanyutao0402
  • Chancms
  • *, <3.1.3

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-20
Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

*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 yanyutao0402 chancms / / / / / / / /
a yanyutao0402 chancms <3.1.3 / / / / / / /

CVSS Score

5.3 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: LOW
  • Availability Impact: LOW
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/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: July 27, 2025, 9:15 a.m.
Last Modified: July 28, 2025, 3:15 p.m.

Status : Received

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.