CVE-2025-11001

Nov. 19, 2025, 10:16 p.m.

7.0
Medium

Description

7-Zip ZIP File Parsing Directory Traversal Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of 7-Zip. Interaction with this product is required to exploit this vulnerability but attack vectors may vary depending on the implementation. The specific flaw exists within the handling of symbolic links in ZIP files. Crafted data in a ZIP file can cause the process to traverse to unintended directories. An attacker can leverage this vulnerability to execute code in the context of a service account. Was ZDI-CAN-26753.

Product(s) Impacted

Vendor Product Versions
7-zip
  • 7-zip
  • *

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 7-zip 7-zip / / / / / / / /

CVSS Score

7.0 / 10

CVSS Data - 3.0

  • Attack Vector: LOCAL
  • Attack Complexity: HIGH
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.0/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: Nov. 19, 2025, 10:16 p.m.
Last Modified: Nov. 19, 2025, 10:16 p.m.

Status : Received

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

More info

Source

zdi-disclosures@trendmicro.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.