CVE-2025-13588

Nov. 25, 2025, 10:16 p.m.

5.3
Medium

Description

A vulnerability was found in lKinderBueno Streamity Xtream IPTV Player up to 2.8. The impacted element is an unknown function of the file public/proxy.php. Performing manipulation results in server-side request forgery. The attack can be initiated remotely. The exploit has been made public and could be used. Upgrading to version 2.8.1 is sufficient to resolve this issue. The patch is named c70bfb8d36b47bfd64c5ec73917e1d9ddb97af92. It is suggested to upgrade the affected component.

Product(s) Impacted

Vendor Product Versions
Kinderbueno
  • Streamity Xtream Iptv Player
  • 2.8

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-918
Server-Side Request Forgery (SSRF)
The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination.

*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 kinderbueno streamity_xtream_ipTV_player 2.8 / / / / / / /

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: Nov. 24, 2025, 7:16 a.m.
Last Modified: Nov. 25, 2025, 10:16 p.m.

Status : Awaiting 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.