CVE-2025-47873 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-2025-47873 represents a critical out-of-bounds read flaw within the Enhanced Metafile Format (EMF) processing capabilities of Canva Affinity software. This issue stems from inadequate input validation and memory access controls when handling specially crafted EMF files that contain malformed data structures. The flaw exists in the software's rasterization engine that processes vector graphics and metafile formats, creating a pathway for attackers to manipulate memory access patterns beyond the intended boundaries of allocated buffers. Such vulnerabilities typically arise when developers fail to properly validate the size and structure of incoming data before processing, allowing malicious inputs to trigger unexpected memory access operations that can expose sensitive data from adjacent memory regions.
The technical exploitation of this vulnerability occurs through the manipulation of EMF file headers and record structures that control how graphical elements are rendered. When Canva Affinity attempts to parse and render a malicious EMF file, the software's parsing routine fails to validate the length of data records or the boundaries of memory allocations, enabling an attacker to craft input that causes the application to read memory locations that should remain inaccessible. This type of vulnerability falls under CWE-129, which specifically addresses improper validation of length of input buffers, and aligns with ATT&CK technique T1059.007 for input validation and memory corruption. The out-of-bounds read operation can potentially expose sensitive information including cryptographic keys, user credentials, application memory contents, or other confidential data stored in adjacent memory segments that the application has access to.
The operational impact of this vulnerability extends beyond simple information disclosure, as it provides attackers with a potential foothold for more sophisticated attacks within the target environment. An attacker who successfully exploits this vulnerability could gain access to session tokens, database connection strings, or other sensitive application data that might be stored in memory near the vulnerable code path. The implications are particularly concerning for users who process untrusted EMF files, as the vulnerability can be triggered through simple file opening operations without requiring any additional user interaction beyond the initial file load. This makes the attack surface particularly broad and increases the likelihood of successful exploitation in real-world scenarios where users frequently open files from unknown sources. The vulnerability demonstrates a fundamental weakness in the software's defensive programming practices and highlights the importance of implementing proper bounds checking and input sanitization measures in graphics processing libraries.
Mitigation strategies for CVE-2025-47873 should focus on immediate patching of affected versions of Canva Affinity while implementing defensive programming techniques that prevent similar issues in the future. Organizations should deploy updated software versions that include proper input validation and bounds checking mechanisms for EMF file processing, ensuring that all buffer operations are carefully validated before execution. Additionally, implementing sandboxing techniques for file processing and employing strict input filtering can help reduce the attack surface and prevent exploitation attempts. Security monitoring should include detection of unusual file processing patterns and memory access behaviors that might indicate exploitation attempts. The vulnerability underscores the necessity of following secure coding practices and conducting thorough code reviews focused on memory management and input validation, particularly in graphics and multimedia processing components that handle external file formats. Organizations should also consider implementing network segmentation and access controls to limit the potential impact of successful exploitation attempts.