CVE-2024-33698

Oct. 8, 2024, 9:15 a.m.

9.8
Critical

Description

A vulnerability has been identified in SIMATIC Information Server 2022 (All versions), SIMATIC Information Server 2024 (All versions), SIMATIC PCS neo V4.0 (All versions), SIMATIC PCS neo V4.1 (All versions < V4.1 Update 2), SIMATIC PCS neo V5.0 (All versions), SINEC NMS (All versions), Totally Integrated Automation Portal (TIA Portal) V16 (All versions), Totally Integrated Automation Portal (TIA Portal) V17 (All versions < V17 Update 8), Totally Integrated Automation Portal (TIA Portal) V18 (All versions), Totally Integrated Automation Portal (TIA Portal) V19 (All versions < V19 Update 3). Affected products contain a heap-based buffer overflow vulnerability in the integrated UMC component. This could allow an unauthenticated remote attacker to execute arbitrary code.

Product(s) Impacted

Product Versions
SIMATIC Information Server
  • 2022
  • 2024
SIMATIC PCS neo
  • V4.0
  • V4.1 < V4.1 Update 2
  • V5.0
SINEC NMS
  • All versions
Totally Integrated Automation Portal (TIA Portal)
  • V16
  • V17 < V17 Update 8
  • V18
  • V19

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-122
Heap-based Buffer Overflow
A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc().

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. 10, 2024, 10:15 a.m.
Last Modified: Oct. 8, 2024, 9:15 a.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.