CVE-2026-56342

June 20, 2026, 7:16 p.m.

6.1
Medium

Description

AVideo through version 27.0 contains a server-side request forgery vulnerability in plugin/Live/test.php that allows authenticated administrators to read arbitrary URLs via the statsURL parameter, which lacks isSSRFSafeURL() validation and accepts requests to private IP ranges and cloud metadata endpoints. Attackers can exploit this by crafting requests to internal services, cloud metadata endpoints like 169.254.169.254, and localhost to retrieve sensitive information including IAM credentials, internal service responses, and network configuration details.

Product(s) Impacted

Vendor Product Versions
Avideo
  • Avideo
  • 27.0

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 avideo avideo 27.0 / / / / / / /

CVSS Score

6.1 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: HIGH
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:N/VI:N/VA:N/SC:H/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: June 20, 2026, 7:16 p.m.
Last Modified: June 20, 2026, 7:16 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*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.