CVE-2025-33027

April 15, 2025, 6:39 p.m.

6.1
Medium

Description

In Bandisoft Bandizip through 7.37, there is a Mark-of-the-Web Bypass Vulnerability. This vulnerability allows attackers to bypass the Mark-of-the-Web protection mechanism on affected installations of Bandizip. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the handling of archived files. When extracting files from a crafted archive that bears the Mark-of-the-Web, Bandizip does not propagate the Mark-of-the-Web to the extracted files. An attacker can leverage this vulnerability to execute arbitrary code in the context of the current user.

Product(s) Impacted

Vendor Product Versions
Bandisoft
  • Bandizip
  • 7.37

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-830
Inclusion of Web Functionality from an Untrusted Source
The product includes web functionality (such as a web widget) from another domain, which causes it to operate within the domain of the product, potentially granting total access and control of the product to the untrusted source.

*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 bandisoft bandizip 7.37 / / / / / / /

CVSS Score

6.1 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: April 15, 2025, 6:15 p.m.
Last Modified: April 15, 2025, 6:39 p.m.

Status : Awaiting Analysis

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

cve@mitre.org

*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.