CVE-2025-7254 in CADImage Plugininfo

Summary

by MITRE • 07/21/2025

IrfanView CADImage Plugin DXF 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 DXF 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-26113.

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Analysis

by VulDB Data Team • 07/25/2025

The CVE-2025-7254 vulnerability represents a critical memory corruption flaw within the IrfanView CADImage Plugin that specifically affects the parsing of DXF (Drawing Exchange Format) files. This vulnerability resides in the plugin's handling of user-supplied data during file processing, creating a pathway for remote code execution attacks. The flaw manifests when the plugin attempts to parse maliciously crafted DXF files, where insufficient input validation leads to improper memory handling and potential code execution in the context of the currently running process. The vulnerability requires user interaction to be exploited, meaning that a target must either visit a malicious webpage or open a specially crafted DXF file for the attack to succeed. This remote code execution capability makes the vulnerability particularly dangerous in threat scenarios where attackers can leverage social engineering tactics to deliver malicious files to unsuspecting users.

The technical implementation of this vulnerability stems from inadequate bounds checking and memory management within the CADImage Plugin's DXF parser component. When processing DXF files, the plugin fails to properly validate the structure and content of various elements within the file format, allowing attackers to craft malformed data sequences that trigger memory corruption conditions. This type of vulnerability aligns with CWE-121, which describes heap-based buffer overflow conditions, and CWE-122, which covers buffer overflow vulnerabilities that occur when a program writes more data to a buffer than it can hold. The memory corruption occurs during the parsing phase where the plugin attempts to allocate memory for various DXF entities without proper validation of input parameters. The lack of proper input sanitization creates opportunities for attackers to manipulate memory layout and potentially overwrite critical program structures or execute arbitrary code through controlled memory corruption.

From an operational impact perspective, this vulnerability poses significant risks to organizations using IrfanView with the CADImage Plugin, particularly in environments where users may encounter untrusted content through email attachments, web downloads, or file sharing platforms. The vulnerability's remote exploitation capability means that attackers can deliver malicious DXF files through various attack vectors without requiring physical access to target systems. Attackers can leverage this vulnerability to establish persistent access, escalate privileges, or deploy additional malware payloads within the compromised system. The fact that the attack requires only user interaction makes it particularly effective in social engineering campaigns where users might inadvertently open malicious files while performing routine tasks. This vulnerability also increases the attack surface for organizations that rely on IrfanView for document processing, as it could be exploited in targeted attacks against specific user groups or through phishing campaigns.

Organizations should implement immediate mitigations to protect against exploitation of CVE-2025-7254, including updating to patched versions of IrfanView and the CADImage Plugin as soon as available from the vendor. System administrators should consider implementing content filtering solutions that can detect and block suspicious DXF files, particularly those with unusual structures or embedded malicious code patterns. Network-based intrusion detection systems should be configured to monitor for potential exploitation attempts through crafted DXF file content. Users should be educated about the risks of opening untrusted files and the importance of verifying file sources before processing them. The vulnerability's classification under ATT&CK technique T1203, which covers Exploitation for Client Execution, highlights the need for comprehensive endpoint protection measures including application whitelisting, sandboxing of file processing, and regular security updates. Additionally, organizations should conduct vulnerability assessments to identify systems running affected versions and implement network segmentation to limit potential lateral movement if exploitation occurs. The ZDI-CAN-26113 reference indicates this vulnerability was previously identified by the Zero Day Initiative, emphasizing the importance of staying current with security advisories from trusted sources.

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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