CVE-2025-34057

July 3, 2025, 3:13 p.m.

8.7
High

Description

An information disclosure vulnerability exists in Ruijie NBR series routers (known to affect NBR2000G, NBR1300G, and NBR1000 models) via the /WEB_VMS/LEVEL15/ endpoint. By crafting a specific POST request with modified Cookie headers and specially formatted parameters, an unauthenticated attacker can retrieve administrative account credentials in plaintext. This flaw allows direct disclosure of sensitive user data due to improper authentication checks and insecure backend logic.

Product(s) Impacted

Vendor Product Versions
Ruijie
  • Nbr2000g
  • Nbr1300g
  • Nbr1000
  • *
  • *
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-200
Exposure of Sensitive Information to an Unauthorized Actor
The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.

*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 ruijie nbr2000g / / / / / / / /
a ruijie nbr1300g / / / / / / / /
a ruijie nbr1000 / / / / / / / /

CVSS Score

8.7 / 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: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/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: July 2, 2025, 2:15 p.m.
Last Modified: July 3, 2025, 3:13 p.m.

Status : Awaiting Analysis

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

More info

Source

disclosure@vulncheck.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.