CVE-2024-45698

Oct. 15, 2024, 10:15 a.m.

9.8
Critical

Description

Certain models of D-Link wireless routers do not properly validate user input in the telnet service, allowing unauthenticated remote attackers to use hard-coded credentials to log into telnet and inject arbitrary OS commands, which can then be executed on the device.

Product(s) Impacted

Vendor Product Versions
Dlink
  • Dir-x4860 Firmware
  • Dir-x4860
  • 1.00, 1.04
  • a1

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-78
Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component.
CWE-798
Use of Hard-coded Credentials
The product contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data.

*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
o dlink dir-x4860_firmware 1.00 / / / / / / /
o dlink dir-x4860_firmware 1.04 / / / / / / /
h dlink dir-x4860 a1 / / / / / / /

CVSS Score

9.8 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: Sept. 16, 2024, 7:15 a.m.
Last Modified: Oct. 15, 2024, 10:15 a.m.

Status : Modified

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

More info

Source

twcert@cert.org.tw

*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.