CVE-2024-30209

May 14, 2024, 7:18 p.m.

9.6
Critical

Description

A vulnerability has been identified in SIMATIC RTLS Locating Manager (6GT2780-0DA00) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-0DA10) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-0DA20) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-0DA30) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-1EA10) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-1EA20) (All versions < V3.0.1.1), SIMATIC RTLS Locating Manager (6GT2780-1EA30) (All versions < V3.0.1.1). Affected systems transmit client-side resources without proper cryptographic protection. This could allow an attacker to eavesdrop on and modify resources in transit. A successful exploit requires an attacker to be in the network path between the RTLS Locating Manager server and a client (MitM).

Product(s) Impacted

Product Versions
SIMATIC RTLS Locating Manager
  • < V3.0.1.1
SIMATIC RTLS Locating Manager (6GT2780-0DA00)
  • < V3.0.1.1
SIMATIC RTLS Locating Manager (6GT2780-0DA10)
  • < V3.0.1.1
SIMATIC RTLS Locating Manager (6GT2780-0DA20)
  • < V3.0.1.1
SIMATIC RTLS Locating Manager (6GT2780-0DA30)
  • < V3.0.1.1
SIMATIC RTLS Locating Manager (6GT2780-1EA10)
  • < V3.0.1.1
SIMATIC RTLS Locating Manager (6GT2780-1EA20)
  • < V3.0.1.1
SIMATIC RTLS Locating Manager (6GT2780-1EA30)
  • < V3.0.1.1

Weaknesses

CVSS Score

9.6 / 10

CVSS Data

  • Attack Vector: ADJACENT_NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: CHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • View Vector String

    CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

Date

  • Published: May 14, 2024, 4:16 p.m.
  • Last Modified: May 14, 2024, 7:18 p.m.

Status : Awaiting Analysis

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

More info

Source

productcert@siemens.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.