CVE-2025-62403 in Affinity
Summary
by MITRE • 03/17/2026
An out-of-bounds read vulnerability exists in the EMF functionality of Canva Affinity. By using a specially crafted EMF file, an attacker could exploit this vulnerability to perform an out-of-bounds read, potentially leading to the disclosure of sensitive information.
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Analysis
by VulDB Data Team • 03/21/2026
The vulnerability identified as CVE-2025-62403 represents a critical out-of-bounds read flaw within the EMF file processing capabilities of Canva Affinity software. This issue stems from insufficient input validation and boundary checking mechanisms when handling Enhanced Metafile (EMF) formatted graphics files. The flaw exists in the software's rendering engine that processes these vector graphics, which are commonly used for high-quality document illustrations and technical drawings. When the application attempts to parse a malformed EMF file, it fails to properly validate array indices or buffer limits, creating an opportunity for unauthorized data access through memory read operations beyond allocated boundaries.
The technical exploitation of this vulnerability occurs when an attacker crafts a malicious EMF file containing malformed data structures that trigger improper memory handling during the parsing process. This out-of-bounds read condition allows the application to access memory locations that should remain protected or inaccessible, potentially exposing sensitive data from adjacent memory regions. The vulnerability manifests as a direct consequence of inadequate bounds checking in the EMF parser implementation, where the software does not properly validate the size or structure of incoming data before attempting to access specific memory addresses. This type of flaw is categorized under CWE-129 as "Improper Validation of Array Index" and aligns with ATT&CK technique T1059.007 for "Command and Scripting Interpreter: JavaScript" when considering the potential for script-based exploitation vectors within the affected software environment.
The operational impact of CVE-2025-62403 extends beyond simple information disclosure, as it could enable attackers to extract sensitive system information, user credentials, or proprietary data stored in adjacent memory locations. This vulnerability is particularly concerning for users who frequently process external graphics files or collaborate on shared documents, as the attack vector requires only the simple act of opening or previewing a malicious EMF file. The potential for remote code execution cannot be entirely ruled out, as the leaked memory contents might contain pointers or executable code segments that could be leveraged for more sophisticated attacks. Organizations using Canva Affinity for design work, presentations, or collaborative document creation face significant risk exposure when this vulnerability remains unpatched, especially in environments where users have limited security awareness regarding file attachment handling.
Mitigation strategies for this vulnerability should prioritize immediate software updates from Canva Affinity vendors to address the underlying parsing logic flaws. System administrators should implement strict file validation policies that prevent automatic execution of potentially malicious graphics files, particularly those from untrusted sources. Network-level protections such as email filtering and web application firewalls can help prevent initial delivery of malicious EMF files to end users. Additionally, organizations should consider implementing sandboxing mechanisms for graphics file processing and establish incident response procedures to detect potential exploitation attempts. The fix should include comprehensive input validation, proper array boundary checking, and memory access controls that prevent unauthorized read operations beyond allocated buffer limits. Security teams must also conduct regular vulnerability assessments to identify similar flaws in other graphics processing libraries and ensure that all third-party components undergo rigorous security testing before deployment in production environments.