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Canva EUVDEUVD-2025-208797

| CVE-2025-64733 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A06:2021 - Vulnerable and Outdated Components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

The CVSS 3.1 score of 6.1 reflects a medium-severity vulnerability with a local attack vector, low attack complexity, no privileges required, and user interaction necessary (opening a file). The vector AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:L indicates confidentiality impact is HIGH (memory disclosure), while integrity and availability impacts are minimal. However, SSVC and real-world risk assessment must account for: (1) the requirement for user interaction (UI:R) reduces likelihood of widespread exploitation compared to network-exposed vulnerabilities; (2) the local-only attack vector (AV:L) further constrains attack surface; (3) out-of-bounds reads, while serious, are typically harder to weaponize than buffer overflows or use-after-free bugs; and (4) the vulnerability discloses application memory rather than enabling code execution. Although Talos reported this vulnerability, no public POC is documented in the provided references, and KEV (Known Exploited Vulnerability) status is not indicated. This is a legitimate confidentiality concern for users handling untrusted EMF files, but exploitation likelihood is lower than comparable network-exploitable or memory-corruption vulnerabilities affecting widely-used libraries.

Exploit ScenarioDerived

An attacker crafts a malicious EMF file with deliberately invalid record headers that specify out-of-bounds offsets or record lengths. The attacker sends this file to a target user via email or uploads it to a file-sharing service, social-engineering the user into opening it with Canva Affinity. When Affinity parses the malformed EMF without proper bounds validation, the parser reads memory beyond the allocated buffer, potentially exposing sensitive data (API keys, cached credentials, or other application state) that is then leaked to the attacker through side-channel observation, error messages, or subsequent file operations. No code execution results from this read-only access, limiting the attack to information disclosure.

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 Canva Affinity's EMF (Enhanced Metafile) file parsing functionality, allowing an attacker to read memory beyond allocated buffer boundaries by supplying a specially crafted EMF file. Affected versions include Affinity 3.0.1.3808 and potentially other releases in the Affinity product line. Successful exploitation could disclose sensitive information from application memory, though the vulnerability does not enable code execution or denial of service; however, the local attack vector and user interaction requirement (opening a malicious file) limit real-world impact compared to network-exploitable vulnerabilities.

RemediationAI

Immediately update Canva Affinity to the patched version released by Canva; refer to the vendor security advisory at https://trust.canva.com/?tcuUid=1f728b0d-17f3-4c9c-97e9-6662b769eb62 for the specific fixed version and download instructions. Until patching is completed, implement compensating controls: (1) avoid opening EMF files from untrusted sources, particularly those received via email or downloaded from the internet; (2) educate users on the risks of opening unusual or unsolicited EMF files in Affinity; (3) consider restricting Affinity usage to air-gapped or isolated environments if handling untrusted graphic content is unavoidable. No network-level mitigations are applicable given the local-only attack vector, but endpoint detection and response (EDR) tools configured to monitor for unusual memory access patterns or Affinity crashes may provide indirect detection capability.

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 is classified as CWE-125 (Out-of-bounds Read), a memory safety issue arising from improper bounds checking in the EMF file parser within Canva Affinity. EMF is a vector graphics format commonly used in Windows environments for clipboard data and document embedding. The affected product is identified via CPE cpe:2.3:a:canva:affinity:*:*:*:*:*:*:*:*, indicating the entire Affinity application suite is in scope. The root cause involves the parser failing to validate record length fields or array indices before dereferencing memory, allowing an attacker-controlled EMF file to specify offsets or sizes that exceed allocated heap or stack buffers, leading to information disclosure from adjacent memory regions.

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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-2025-64733 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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