CVE-2025-3016

April 1, 2025, 8:26 p.m.

5.3
Medium

Description

A vulnerability classified as problematic was found in Open Asset Import Library Assimp 5.4.3. This vulnerability affects the function Assimp::MDLImporter::ParseTextureColorData of the file code/AssetLib/MDL/MDLMaterialLoader.cpp of the component MDL File Handler. The manipulation of the argument mWidth/mHeight leads to resource consumption. The attack can be initiated remotely. Upgrading to version 6.0 is able to address this issue. The name of the patch is 5d2a7482312db2e866439a8c05a07ce1e718bed1. It is recommended to apply a patch to fix this issue.

Product(s) Impacted

Vendor Product Versions
Assimp
  • Assimp
  • <5.4.3

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-400
Uncontrolled Resource Consumption
The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.

*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 assimp assimp <5.4.3 / / / / / / /

CVSS Score

5.3 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: PASSIVE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: LOW
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: March 31, 2025, 9:15 p.m.
Last Modified: April 1, 2025, 8:26 p.m.

Status : Awaiting Analysis

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

More info

Source

cna@vuldb.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.