CVE-2024-46888

Nov. 13, 2024, 11:11 p.m.

9.9
Critical

Description

A vulnerability has been identified in SINEC INS (All versions < V1.0 SP2 Update 3). The affected application does not properly sanitize user provided paths for SFTP-based file up- and downloads. This could allow an authenticated remote attacker to manipulate arbitrary files on the filesystem and achieve arbitrary code execution on the device.

Product(s) Impacted

Vendor Product Versions
Siemens
  • Sinec Ins
  • *, 1.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-22
Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.

*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 siemens sinec_ins / / / / / / / /
a siemens sinec_ins 1.0 - / / / / / /
a siemens sinec_ins 1.0 sp1 / / / / / /
a siemens sinec_ins 1.0 sp2 / / / / / /
a siemens sinec_ins 1.0 sp2_update_1 / / / / / /
a siemens sinec_ins 1.0 sp2_update_2 / / / / / /

CVSS Score

9.9 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: CHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

    View Vector String

Timeline

Published: Nov. 12, 2024, 1:15 p.m.
Last Modified: Nov. 13, 2024, 11:11 p.m.

Status : Analyzed

CVE has been marked for Analysis. Normally once in this state the CVE will be analyzed by NVD staff within 24 hours.

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.