CVE-2026-103220
Received Received - Intake

Out-of-Bounds Read in Affinity by Canva Application

Vulnerability report for CVE-2026-103220, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-10-09

Last updated on: 2026-10-09

Assigner: 61adb53e-e4b3-47f7-8a93-4717c9e77dc6

Description

The Affinity by Canva application before 3.3.1 (October 2026 release) did not perform adequate bounds checking when parsing raster image data in Affinity document files, leading to an out-of-bounds read and the dereference of an untrusted pointer. A threat actor could craft an Affinity document that, when opened by a user in Affinity, could result in memory corruption or an application crash.

CVSS Scores

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Meta Information

Published
2026-10-09
Last Modified
2026-10-09
Generated
2026-10-09
AI Q&A
2026-10-09
EPSS Evaluated
N/A
NVD
EUVD

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
canva affinity 0

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-129 The product uses untrusted input when calculating or using an array index, but the product does not validate or incorrectly validates the index to ensure the index references a valid position within the array.

Attack-Flow Graph

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Executive Summary

The Affinity by Canva application before version 3.3.1 has a flaw where it fails to properly check the bounds of raster image data in Affinity document files. This oversight allows an out-of-bounds read, which can lead to memory corruption or the application crashing when a specially crafted document is opened.

Impact Analysis

If you open a malicious Affinity document, the vulnerability could cause your application to crash or corrupt memory. This might lead to data loss or unexpected behavior, though it requires user interaction to exploit.

Mitigation Strategies

Update the Affinity by Canva application to version 3.3.1 or later to address the bounds checking issue in raster image data parsing.

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