CVE-2023-25902 in Dimension
Summary
by MITRE • 03/28/2023
Adobe Dimension versions 3.4.7 (and earlier) is affected by an out-of-bounds read vulnerability when parsing a crafted file, which could result in a read past the end of an allocated memory structure. An attacker could leverage this vulnerability to execute code in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
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Analysis
by VulDB Data Team • 11/03/2025
Adobe Dimension version 3.4.7 and earlier contains a critical out-of-bounds read vulnerability that stems from insufficient input validation during file parsing operations. This flaw falls under the Common Weakness Enumeration category CWE-125, which specifically addresses out-of-bounds read conditions where programs access memory locations beyond the intended buffer boundaries. The vulnerability manifests when the application processes a specially crafted file that triggers an improper memory access pattern, leading to a read past the end of an allocated memory structure. The technical implementation involves the software's failure to properly validate array indices or buffer limits during the parsing of dimension files, creating an opportunity for malicious code execution through memory corruption.
The operational impact of this vulnerability extends beyond simple memory corruption, as it enables arbitrary code execution within the context of the currently logged-in user. This represents a significant security risk since successful exploitation could allow attackers to gain full control over the affected system. The vulnerability requires user interaction for exploitation, meaning victims must open the malicious file, which makes it susceptible to social engineering attacks such as phishing campaigns or malicious file distribution through compromised websites. From an adversarial perspective, this vulnerability aligns with ATT&CK technique T1059.007 for command and scripting interpreter, as the executed code could potentially leverage command-line interfaces or scripting environments available on the compromised system.
The memory corruption resulting from this out-of-bounds read creates a predictable attack surface that adversaries can exploit using various techniques including return-oriented programming or direct code injection. Attackers typically construct malicious files that contain carefully crafted data structures designed to trigger the specific memory access pattern that leads to the out-of-bounds read condition. This vulnerability demonstrates the importance of proper input validation and memory boundary checking in multimedia applications that process user-supplied files, as the parsing of dimension files involves complex data structures that must be rigorously validated. The vulnerability's impact is particularly concerning given that Adobe Dimension is used for professional design work, where users often handle files from multiple sources, increasing the attack surface for potential exploitation.
Security mitigations for this vulnerability primarily involve immediate patching of affected Adobe Dimension installations to version 3.4.8 or later, which contains the necessary fixes for the memory validation issues. Organizations should implement file validation procedures and user education programs to reduce the risk of opening malicious files, particularly in environments where users may encounter untrusted content. Network-based protections such as web application firewalls or file content inspection systems can help detect and block malicious dimension files before they reach end users. Additionally, system hardening measures including restricted user permissions, sandboxing of file processing operations, and regular security assessments of design applications can provide defense-in-depth protection against potential exploitation attempts. The vulnerability serves as a reminder of the critical importance of memory safety in applications that process external data, as even seemingly benign file formats can become attack vectors when proper validation mechanisms are absent.