CVE-2012-3585 in IrfanView PlugIns
Summary
by MITRE
Heap-based buffer overflow in jpeg_ls.dll in the Jpeg_LS (aka JLS) plugin in the formats plugins in IrfanView PlugIns before 4.34 allows remote attackers to execute arbitrary code via a crafted JLS file.
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Analysis
by VulDB Data Team • 07/05/2025
The vulnerability identified as CVE-2012-3585 represents a critical heap-based buffer overflow in the jpeg_ls.dll component of IrfanView's Jpeg_LS plugin. This flaw exists within the formats plugins subsystem of IrfanView software version 4.34 and earlier, creating a remote code execution vector that can be exploited through maliciously crafted JLS image files. The vulnerability stems from insufficient input validation and bounds checking within the decompression routine of the JPEG-LS compression algorithm implementation, specifically when processing malformed JLS file structures that exceed allocated buffer boundaries.
The technical implementation of this vulnerability involves the manipulation of JPEG-LS encoded image files that contain specially crafted data sequences designed to trigger memory corruption during the decompression process. When IrfanView processes such malicious files through its JLS plugin, the jpeg_ls.dll library fails to properly validate the size parameters of the compressed data structure, leading to a heap overflow condition where attacker-controlled data overwrites adjacent memory locations. This memory corruption can result in arbitrary code execution with the privileges of the user running IrfanView, potentially allowing remote attackers to gain full system control without requiring local access.
The operational impact of this vulnerability extends beyond simple code execution, as it represents a significant threat to users who may encounter malicious JLS files through email attachments, web downloads, or file sharing platforms. The vulnerability is particularly dangerous because it can be exploited remotely without user interaction, as simply opening a malicious JLS file within IrfanView triggers the exploitable condition. This makes it a prime target for drive-by download attacks and automated exploitation campaigns, especially in environments where IrfanView is commonly used for image viewing and processing.
The vulnerability aligns with CWE-121, Heap-based Buffer Overflow, and follows patterns consistent with the attack techniques documented in the MITRE ATT&CK framework under the T1059.007 technique for command and scripting interpreter. The exploitation requires minimal user interaction and can be automated through social engineering or direct web-based delivery, making it particularly effective in mass exploitation scenarios. Security researchers have noted that this vulnerability demonstrates poor memory management practices in legacy image processing libraries, where traditional input validation mechanisms were insufficient to prevent buffer overflows in complex decompression algorithms.
Mitigation strategies for CVE-2012-3585 primarily focus on immediate software updates to IrfanView version 4.34 or later, which includes patched implementations of the jpeg_ls.dll library with proper bounds checking and input validation. Organizations should also implement network-based filtering to block JLS file types from suspicious sources, disable automatic image preview in email clients, and conduct security awareness training to prevent users from opening untrusted image files. System administrators should consider implementing application whitelisting policies that restrict execution of IrfanView to trusted environments and ensure that all users maintain current software versions through automated update mechanisms. The vulnerability serves as a reminder of the importance of regular security updates and the need for robust input validation in multimedia processing libraries that handle complex compression formats.