CVE-2022-42412 in PDF-XChange Editor
Summary
by MITRE • 01/26/2023
This vulnerability allows remote attackers to disclose sensitive information on affected installations of PDF-XChange Editor. 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 PDF files. Crafted data in a PDF file can trigger a read past the end of an allocated buffer. An attacker can leverage this in conjunction with other vulnerabilities to execute arbitrary code in the context of the current process. Was ZDI-CAN-18324.
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Analysis
by VulDB Data Team • 04/29/2025
CVE-2022-42412 represents a critical buffer over-read vulnerability affecting PDF-XChange Editor software that falls under the CWE-125 weakness category, which specifically addresses out-of-bounds read conditions. This vulnerability exists within the PDF file parsing mechanism of the application, where crafted malicious data within PDF files can cause the software to read memory locations beyond the allocated buffer boundaries. The flaw manifests when the PDF parser encounters specially constructed PDF content that triggers an improper memory access pattern, potentially leading to information disclosure or more severe exploitation outcomes.
The technical implementation of this vulnerability requires user interaction to achieve successful exploitation, making it a client-side attack vector that typically involves social engineering tactics. An attacker must convince a target to visit a malicious webpage hosting the crafted PDF file or to open a malicious PDF document directly. This requirement for user interaction aligns with ATT&CK technique T1203, which describes social engineering methods used to gain initial access to systems. The vulnerability's exploitation path demonstrates how seemingly benign file operations can lead to system compromise when applications fail to properly validate input data.
The operational impact of this vulnerability extends beyond simple information disclosure, as the buffer over-read condition creates opportunities for more sophisticated attacks within the context of the running process. When the PDF parser encounters malformed data, it can potentially expose memory contents that may contain sensitive information such as encryption keys, user credentials, or application state data. This memory exposure creates a foundation for additional exploitation techniques that could leverage the leaked information to escalate privileges or execute arbitrary code. The vulnerability's potential for code execution places it within the broader category of remote code execution threats that pose significant risks to endpoint security.
Organizations utilizing PDF-XChange Editor should implement immediate mitigations including restricting access to potentially malicious PDF content through network filtering and email security solutions. The recommended approach involves deploying content inspection systems that can identify and block suspicious PDF files before they reach end users. Additionally, maintaining current software versions and applying vendor-provided patches represents the primary defense mechanism against this vulnerability. Security teams should also consider implementing application whitelisting policies that restrict execution of untrusted PDF files and monitor for unusual memory access patterns that might indicate exploitation attempts. The vulnerability's classification under ZDI-CAN-18324 highlights the importance of staying current with vulnerability intelligence feeds and maintaining comprehensive patch management processes to address similar threats across the software ecosystem.