CVE-2025-43582: Heap-based Buffer Overflow Vulnerability in Substance3D – Viewer

Overview

The CVE-2025-43582 is a severe vulnerability that affects versions 0.22 and earlier of the Substance3D – Viewer software. It is a heap-based buffer overflow vulnerability, which could potentially allow an attacker to execute arbitrary code in the context of the current user. This kind of security flaw poses a serious threat to both individual users and organizations, as it can lead to system compromise or data leakage. The exploitation of this vulnerability requires user interaction, which means that a victim must open a malicious file for the exploit to be successful.

Vulnerability Summary

CVE ID: CVE-2025-43582
Severity: High (7.8 CVSS score)
Attack Vector: Local
Privileges Required: None
User Interaction: Required
Impact: System compromise and potential data leakage

Affected Products

Product | Affected Versions

Substance3D – Viewer | 0.22 and earlier

How the Exploit Works

The heap-based buffer overflow vulnerability in Substance3D – Viewer works by manipulating the memory space that is allocated for data storage during the execution of the program. An attacker can craft a malicious file that, when opened by the victim, overflows the heap buffer’s boundaries, causing an overwrite of adjacent memory spaces. This overwrite can allow the attacker to execute arbitrary code in the context of the current user, potentially leading to system compromise or data leakage.

Conceptual Example Code

The following is a conceptual example of a malicious file that could be used to exploit this vulnerability:

#include <stdlib.h>
int main() {
int size = 0x1000;
char *buffer = (char *) malloc(size);
// Fill the buffer with more data than it can handle, causing a buffer overflow
for (int i = 0; i <= size; i++) {
buffer[i] = 'A';
}
// The next instruction is overwritten by the buffer overflow, leading to arbitrary code execution
system("echo 'You have been hacked!'");
}

Please note that the above code is a simplified conceptual example. Real-world attacks can be much more complex and harder to detect.