CVE-2025-7985

Sept. 18, 2025, 1:43 p.m.

7.8
High

Description

Ashlar-Vellum Cobalt VC6 File Parsing Integer Overflow Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Ashlar-Vellum Cobalt. 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 parsing of VC6 files. The issue results from the lack of proper validation of user-supplied data, which can result in an integer overflow before allocating a buffer. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-25704.

Product(s) Impacted

Vendor Product Versions
Ashlar-vellum
  • Cobalt
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-190
Integer Overflow or Wraparound
The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control.

*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 ashlar-vellum cobalt / / / / / / / /

CVSS Score

7.8 / 10

CVSS Data - 3.0

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

    View Vector String

Timeline

Published: Sept. 17, 2025, 9:15 p.m.
Last Modified: Sept. 18, 2025, 1:43 p.m.

Status : Undergoing Analysis

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.