CVE-2025-7300 in CADImage Plugin
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-26377.
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Analysis
by VulDB Data Team • 07/25/2025
The CVE-2025-7300 vulnerability represents a critical memory corruption flaw within the IrfanView CADImage Plugin that processes DWG files, creating a remote code execution vector that poses significant risks to affected systems. This vulnerability specifically targets the parsing mechanism of AutoCAD's DWG file format, which is widely used in engineering and architectural applications. The flaw stems from insufficient input validation during the processing of maliciously crafted DWG files, allowing attackers to manipulate memory structures through carefully constructed file payloads. The vulnerability operates at the intersection of software security and file format parsing, where the plugin fails to properly sanitize user-supplied data before processing, creating opportunities for attackers to overwrite memory locations and potentially execute arbitrary code. This type of vulnerability is particularly dangerous because it can be exploited through web-based attacks where users might inadvertently visit malicious websites hosting compromised DWG files.
The technical implementation of this memory corruption vulnerability manifests when the CADImage plugin attempts to parse malformed DWG structures that exceed expected memory boundaries or contain unexpected data sequences. The flaw typically occurs during the parsing of geometric entities, layer information, or other structural components within DWG files where the plugin does not perform adequate bounds checking or data validation. When processing these malicious inputs, the plugin's memory management routines become corrupted through buffer overflows, use-after-free conditions, or other memory manipulation techniques that allow attackers to control execution flow. The vulnerability's remote exploitation capability means that attackers can deliver malicious payloads through web pages, email attachments, or file sharing systems without requiring local access to the target system. This remote code execution occurs in the context of the IrfanView process, potentially allowing attackers to gain full system control or escalate privileges depending on the execution environment and user permissions.
The operational impact of this vulnerability extends beyond simple code execution, as it can enable attackers to perform comprehensive system compromise operations including privilege escalation, data exfiltration, and persistent backdoor installation. Attackers can leverage this vulnerability to deploy malware, establish command and control channels, or conduct further reconnaissance within compromised networks. The requirement for user interaction through visiting malicious pages or opening files means that social engineering aspects become critical factors in exploitation success rates, making this vulnerability particularly effective in targeted attacks against organizations with high DWG file usage patterns. Security analysts note that the widespread adoption of IrfanView in professional environments where CAD files are regularly exchanged makes this vulnerability particularly attractive to threat actors. The vulnerability's classification aligns with CWE-121, which addresses stack-based buffer overflow conditions, and CWE-122, which covers heap-based buffer overflow scenarios, both of which are fundamental memory corruption patterns that lead to remote code execution.
Mitigation strategies for CVE-2025-7300 should prioritize immediate patching of the affected CADImage plugin through official vendor updates, as the vulnerability is inherently exploitable through network-based attacks. Organizations should implement strict file validation policies that restrict DWG file processing to trusted sources and employ network segmentation to limit exposure to potentially malicious file content. Security teams should monitor for suspicious file access patterns and implement application whitelisting controls that prevent execution of untrusted file types within the IrfanView environment. Network-based intrusion detection systems should be configured to detect potential exploitation attempts through monitoring for unusual file parsing activities or memory access patterns. The vulnerability's alignment with ATT&CK technique T1059.007, which covers command and scripting interpreter usage, suggests that successful exploitation may result in additional attack vectors through compromised systems. Organizations should also consider implementing multi-factor authentication and privilege separation controls to limit the potential impact of successful exploitation, while maintaining regular security audits to identify and remediate similar vulnerabilities in other file processing components.