2024-11-22
:
IrfanView, a popular image viewer, is affected by a high-severity vulnerability (CVE-2024-11538) that could allow remote attackers to execute arbitrary code on vulnerable installations. The vulnerability stems from improper validation of user-supplied data within the DXF file parsing process. Successful exploitation requires user interaction, such as visiting a malicious website or opening a malicious file.
Vulnerability Details:
Platform: IrfanView
Version: Affected versions prior to 4.70
Vulnerability: Remote Code Execution
Severity: High
Date: 2024
What Undercode Says:
IrfanView, a widely-used image viewer, has a critical security flaw that could potentially lead to remote code execution attacks. This vulnerability arises from a lack of proper input validation within the DXF file parser. Successful exploitation of this vulnerability would grant an attacker the ability to execute arbitrary code on the affected system with the privileges of the current user.
Given the widespread use of IrfanView and the potential severity of this vulnerability, it is highly recommended that users update to the latest version (4.70 or later) to mitigate the risk of exploitation. Additionally, users should exercise caution when opening files from untrusted sources, as this could potentially trigger the vulnerability.
It is important to note that this vulnerability requires user interaction to be exploited. Therefore, attackers would need to entice users to open malicious files or visit malicious websites. However, the potential consequences of a successful attack could be significant, including data theft, system compromise, or other malicious activities.
To stay informed about the latest security vulnerabilities and advisories, users are encouraged to follow security news and updates from reputable sources. By taking proactive measures to update software, avoid suspicious files, and stay informed, users can significantly reduce their risk of falling victim to cyberattacks.
References:
Reported By: Zerodayinitiative.com
Undercode AI: https://ai.undercodetesting.com
Image Source:
OpenAI: https://openai.com
Undercode AI DI v2: https://ai.undercode.help