CVE-2025-7306 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-26387.
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Analysis
by VulDB Data Team • 07/21/2025
The vulnerability in question represents a critical memory corruption flaw within the IrfanView CADImage Plugin's handling of DWG files, specifically affecting the parsing mechanism that processes AutoCAD Drawing Database files. This weakness enables remote code execution when users open maliciously crafted DWG files, making it particularly dangerous in environments where users frequently interact with various file types. The vulnerability stems from insufficient input validation during the processing of user-supplied data within the CAD plugin component, creating a pathway for attackers to manipulate memory structures and potentially execute arbitrary code with the privileges of the affected application.
The technical implementation of this flaw occurs during the DWG file parsing process where the plugin fails to properly validate or sanitize incoming data structures. When processing malformed DWG files, the plugin's memory management routines become vulnerable to buffer overflows, heap corruption, or other memory manipulation attacks that can be exploited by malicious actors. This type of vulnerability aligns with CWE-121, which describes stack-based buffer overflow conditions, and CWE-787, which covers out-of-bounds write operations. The attack vector requires user interaction through either visiting a malicious website that serves the vulnerable file or opening the crafted DWG file directly, making it a common target for phishing campaigns and social engineering attacks.
The operational impact of this vulnerability extends beyond simple code execution, as successful exploitation can lead to complete system compromise when the target application runs with elevated privileges. Attackers can leverage the memory corruption to inject malicious payloads into the IrfanView process, potentially establishing persistent backdoors or escalating privileges through additional attack chains. The remote nature of the vulnerability means that attackers don't require physical access to systems, making it particularly attractive for widespread exploitation campaigns. This weakness directly correlates with ATT&CK technique T1203, which covers exploitation for execution, and T1059, covering command and scripting interpreters, as the compromised system can be used to execute further malicious activities.
Mitigation strategies should focus on immediate patching of the affected IrfanView CADImage Plugin component, as well as implementing strict file validation policies that prevent automatic processing of untrusted DWG files. Organizations should consider restricting user access to potentially dangerous file types and implementing application whitelisting controls to prevent unauthorized code execution. Network-based protections such as intrusion detection systems can help detect exploitation attempts through anomalous file parsing patterns. Additionally, users should be educated about the risks of opening unknown or untrusted files, and security teams should monitor for reports of similar vulnerabilities in related software components that may share similar parsing mechanisms. The vulnerability's classification as a remote code execution flaw necessitates immediate remediation to prevent potential lateral movement within networks and unauthorized access to sensitive systems.