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Canva EUVDEUVD-2025-208807

| CVE-2025-66633 MEDIUM
Out-of-bounds Read (CWE-125)
2026-03-17 talos
6.1
CVSS 3.1 · NVD
View

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A06:2021 - Vulnerable and Outdated Components
ASVS 5.0
V15 - Secure Coding and Architecture Bounds checking, read limits
MITRE ATT&CK

1 technique across 1 tactic: Collection

The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up.

Impact

This vulnerability presents moderate real-world risk despite its 6.1 CVSS score. The CVSS vector (CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:L) indicates low attack complexity and no privilege requirements, but critically requires local attack vector and user interaction—an attacker must convince a user to open a malicious EMF file. The high confidentiality impact (C:H) reflects the out-of-bounds read's potential to leak sensitive data, while the low availability impact (A:L) suggests the vulnerability does not reliably cause denial of service. The Talos Intelligence reporting and ENISA EUVD cataloging (EUVD-2025-208807) suggest this is a confirmed, investigated vulnerability with vendor engagement; however, no KEV (Known Exploited Vulnerability) catalog listing was identified in the provided intelligence, and no public proof-of-concept appears to be widely available. Practical exploitation depends on attackers' ability to deliver a malicious EMF file through email, shared documents, or web downloads, making this a concern primarily for targeted attacks or supply-chain scenarios rather than mass exploitation. Organizations using Affinity should prioritize patching, but this is not an emergency-tier vulnerability.

Exploit ScenarioDerived

An attacker crafts a malicious EMF file with oversized or malformed record headers and sends it to a target user via email or file-sharing platform. When the user opens the file in Canva Affinity, the EMF parser attempts to read the record data without proper bounds validation, triggering an out-of-bounds read that leaks adjacent heap or stack memory—potentially containing API keys, authentication tokens, or other application data—to the attacker through a side-channel observation (e.g., crash logs, observable application behavior, or memory disclosure via subsequent operations). The attack succeeds because it requires only user-level privileges and a single interaction (opening the file), with low attack complexity and no exploitation framework prerequisites, making it practical for targeted spear-phishing campaigns against design professionals using Affinity.

This Month Plan within 30 days. Why: MEDIUM severity (CVSS 4.0-6.9).
No patch listed yet 0.0% exploitation probability (EPSS)

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AnalysisAIv1 – Mar 17, 2026

An out-of-bounds read vulnerability exists in the EMF (Enhanced Metafile) file parsing functionality of Canva Affinity, allowing attackers to read memory beyond allocated buffer boundaries when processing specially crafted EMF files. The vulnerability affects Canva Affinity version 3.0.1.3808 and potentially other versions in the product line; attackers with local access and user interaction can trigger the flaw to disclose sensitive information from process memory. While the CVSS score of 6.1 indicates medium severity with high confidentiality impact and low availability impact, the attack requires local file system access and user interaction (opening a malicious EMF file), limiting widespread exploitation risk.

RemediationAI

Upgrade Canva Affinity to the latest patched version provided by the vendor; consult the official Canva security advisory (https://trust.canva.com/?tcuUid=1f728b0d-17f3-4c9c-97e9-6662b769eb62) for specific patch version numbers. Until patching is completed, implement mitigations by disabling or restricting EMF file handling in Affinity if alternative file formats are acceptable, educating users not to open EMF files from untrusted sources, and deploying file-type filtering policies to block EMF downloads in email and web gateways. Organizations can monitor for exploitation attempts by tracking access to Affinity crash dumps and memory errors in log files, and isolating affected systems from critical data repositories if suspicious EMF file opens are detected.

Affected VersionsENISA

Affinity 3.0.1.3808

Affected Packages

euvd affinity no fix

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in euvd

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

The vulnerability resides in Canva Affinity's EMF (Enhanced Metafile) file parser, a legacy Windows graphics format handler that processes vector-based drawing instructions. The root cause is classified under CWE-125 (Out-of-bounds Read), a memory safety vulnerability where the parser fails to validate buffer boundaries before reading EMF record structures, potentially allowing it to access memory regions outside the intended allocation. EMF files contain records with variable-length data, and improper bounds checking during record parsing enables attackers to craft files with malformed record headers or oversized data fields that cause the parser to read adjacent memory. The affected product is identified via CPE as cpe:2.3:a:canva:affinity:*:*:*:*:*:*:*:*, confirming the vulnerability spans Canva's Affinity design application suite.

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  • Exploit and PoC references, threat intelligence from 22 sources

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Severity by source

NVD PRIMARY 6.1 MEDIUM
AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:L

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

Attack Vector
Local
Attack Complexity
Low
Privileges Required
None
User Interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
Low

DescriptionCVE.org

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.

Executive ViewAI

Why It Matters

CVE-2025-66633 presents moderate security risk, a out-of-bounds read vulnerability rated CVSS 6.1. Exploitation could cause memory corruption or application crashes. Organizations should apply vendor updates when available and monitor for exploitation.

Business Impact: Low
Compensating Controls

Apply vendor patch. If patching is delayed: enable ASLR/DEP, apply network segmentation.

Threat Intelligence Overview

EPSS Score
0.0%
Top 98% exploitable
Data Quality
5 sources
Confidence: Medium

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity MEDIUM
CISA KEV No
Public POC No
EPSS 0.0%
Patch available No
Active threat No
Deciding rule
MEDIUM severity (CVSS 4.0-6.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Defer
Exploitation· derived
None
System Exposure· derived
Small
Automatable· derived
No
Human Impact
Low

Priority Score

30
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +30
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

A buffer overflow occurs when a program writes more data to a memory buffer than it was allocated to hold, causing the excess data to spill into adjacent memory regions.

Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.

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