CVE-2025-6864

June 30, 2025, 6:38 p.m.

5.3
Medium

Description

A vulnerability, which was classified as problematic, has been found in SeaCMS up to 13.2. Affected by this issue is some unknown functionality of the file /admin_type.php. The manipulation leads to cross-site request forgery. The attack may be launched remotely. The exploit has been disclosed to the public and may be used.

Product(s) Impacted

Vendor Product Versions
Seacms
  • Seacms
  • *

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 seacms seacms / / / / / / / /

References

https://github.com/murongchengshu/zhicheng_tan/blob/main/SeaCMS_1.md
https://vuldb.com/?ctiid.314336
https://vuldb.com/?id.314336
https://vuldb.com/?submit.603562
https://github.com/murongchengshu/zhicheng_tan/blob/main/SeaCMS_1.md

Tags

CWE-352
cna@vuldb.com
2025-06-29
CVE-2025-6864

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: June 29, 2025, 4:15 p.m.
Last Modified: June 30, 2025, 6:38 p.m.

Status : Undergoing Analysis

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.