CVE-2025-7280 in CADImage Plugininfo

Summary

by MITRE • 07/21/2025

IrfanView CADImage Plugin DWG File Parsing Memory Corruption Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of IrfanView CADImage Plugin. 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 DWG files. The issue results from the lack of proper validation of user-supplied data, which can result in a memory corruption condition. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-26214.

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Analysis

by VulDB Data Team • 07/26/2025

The CVE-2025-7280 vulnerability represents a critical memory corruption flaw within the IrfanView CADImage Plugin that specifically affects DWG file parsing operations. This vulnerability falls under the CWE-121 category of Stack-based Buffer Overflow, though it manifests as a more complex memory corruption issue that can lead to remote code execution. The flaw resides in how the plugin processes structured CAD files, particularly those in the DWG format which are commonly used in engineering and architectural applications. The vulnerability was identified and tracked as ZDI-CAN-26214, indicating its discovery through the Zero Day Initiative's vulnerability coordination program.

The technical implementation of this vulnerability stems from insufficient input validation mechanisms within the CADImage plugin's DWG file parser. When processing maliciously crafted DWG files, the plugin fails to properly validate the structure and content of the input data, leading to memory corruption conditions that can be exploited by remote attackers. This type of vulnerability is classified as a remote code execution flaw under the ATT&CK framework's T1203 technique for Exploitation for Client Execution. The memory corruption occurs during the parsing phase where the plugin attempts to interpret the DWG file's internal structures without adequate bounds checking or sanitization of user-supplied data.

The operational impact of this vulnerability extends beyond simple file processing, as it enables attackers to execute arbitrary code with the privileges of the IrfanView process. This means that successful exploitation could allow attackers to gain full control over the affected system, potentially leading to data exfiltration, system compromise, or further network infiltration. The requirement for user interaction makes this vulnerability particularly dangerous in phishing scenarios where users might inadvertently open malicious DWG files from email attachments or web downloads. The attack vector aligns with ATT&CK technique T1059 which covers command and scripting interpreter usage, as the executed code could leverage various system interfaces.

Mitigation strategies for CVE-2025-7280 should prioritize immediate patching of the IrfanView CADImage Plugin to address the underlying memory corruption issue. System administrators should implement strict file validation policies that prevent automatic execution of potentially malicious files, particularly those in CAD formats that are commonly used in business environments. Network-based protections such as web application firewalls and content filtering systems can help block malicious DWG files from reaching end users. Additionally, user education regarding the risks of opening unknown or untrusted files should be emphasized, as the vulnerability requires user interaction to be exploited. The remediation efforts should also include monitoring for suspicious file access patterns and implementing least privilege principles to limit the potential damage from successful exploitation attempts.

Reservation

07/07/2025

Disclosure

07/21/2025

Moderation

accepted

CPE

ready

EPSS

0.00220

KEV

no

Activities

very low

Sources

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