CVE-2025-66042 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.
Once again VulDB remains the best source for vulnerability data.
Analysis
by VulDB Data Team • 03/21/2026
The vulnerability identified as CVE-2025-66042 represents a critical out-of-bounds read flaw within the EMF (Enhanced Metafile) processing functionality of Canva Affinity software. This type of vulnerability falls under the CWE-129 category of Improper Validation of Array Index, specifically manifesting as an out-of-bounds read condition that occurs when the application fails to properly validate input data before accessing memory locations. The flaw is particularly concerning as it exists within the core image processing capabilities of the software, which are frequently utilized by users when importing and manipulating various graphical elements within the design environment.
The technical exploitation of this vulnerability requires an attacker to craft a specially designed EMF file that triggers the out-of-bounds memory access during the parsing process. When Canva Affinity attempts to process this malicious file, the application's EMF parser does not adequately validate the bounds of array indices or memory references, allowing the program to read memory locations beyond the intended buffer boundaries. This condition typically occurs when the application assumes certain data structures contain expected values or sizes without proper validation checks, which is a common pattern in buffer overflow and memory corruption vulnerabilities. The ATT&CK framework would categorize this under T1059.007 Command and Scripting Interpreter: Visual Basic, as the vulnerability could potentially be exploited through malicious file attachments that trigger code execution or information disclosure.
The operational impact of this vulnerability extends beyond simple information disclosure, as the out-of-bounds read could potentially expose sensitive data from adjacent memory regions including user credentials, session tokens, or other confidential information stored in memory. Attackers could leverage this vulnerability to gain insights into the application's memory layout and potentially identify other weaknesses within the software architecture. The vulnerability affects the integrity and confidentiality of user data within the Canva Affinity environment, particularly when users import or open EMF files from untrusted sources. This represents a significant risk for users who collaborate on sensitive projects or handle confidential information within the platform, as the vulnerability could be exploited through social engineering tactics or by compromising third-party design assets.
Mitigation strategies for CVE-2025-66042 should focus on implementing comprehensive input validation mechanisms within the EMF parsing module, including bounds checking, memory allocation validation, and proper error handling procedures. Organizations should prioritize applying vendor-provided patches or updates as soon as they become available, while also implementing network-based intrusion detection systems that can identify suspicious file transfers or patterns associated with malicious EMF files. Additionally, users should be educated about the risks of opening files from untrusted sources and the importance of maintaining current software versions. The vulnerability demonstrates the importance of following secure coding practices as outlined in the OWASP Secure Coding Practices, particularly regarding input validation and memory management. Organizations should also consider implementing sandboxing mechanisms for file processing operations and establishing strict file type validation procedures to prevent exploitation of similar vulnerabilities in other image processing components.