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Canva EUVDEUVD-2025-208787

| CVE-2025-61952 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A06:2021 - Vulnerable and Outdated Components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-to-high risk with specific characteristics: the attack vector is local (AV:L), attack complexity is low (AC:L), no privileges are required (PR:N), but user interaction is required (UI:R). The primary impact is confidentiality (C:H—high), with minor availability impact (A:L) but no integrity impact (I:N). This profile indicates a moderate real-world risk: exploitation requires persuading a user to open a crafted file, which is a realistic social engineering scenario. The CVSS vector does not account for EPSS exploitation probability, POC availability, or KEV listing status based on provided data; however, the involvement of Talos Intelligence (Cisco's threat research division) and official advisories from Canva and NIST elevates credibility and suggests the vulnerability has been validated. The local attack vector and user-interaction requirement mitigate widespread automated exploitation, but the high confidentiality impact and ease of file distribution via email or web downloads make this a genuine priority for users of Affinity design tools, particularly those handling sensitive documents. This should be treated as a moderate-to-high priority fix due to information disclosure potential.

Exploit ScenarioDerived

An attacker creates a malformed EMF file with crafted record structures that cause the parser to read beyond buffer boundaries and collects sensitive data from adjacent memory regions. The attacker distributes this file via email with a social engineering message (e.g., 'Please review this design mockup') or hosts it on a compromised website. When a Canva Affinity user opens the file, the out-of-bounds read silently exposes information such as API keys, session tokens, or other credentials from the Affinity process memory, which the attacker can exfiltrate through side-channel methods or infer from timing/behavior observations. No additional privileges or system interaction is required beyond the victim opening the file, making this a practical attack chain for targeted phishing campaigns.

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 that allows attackers to read memory beyond allocated buffer boundaries. Canva Affinity version 3.0.1.3808 and potentially earlier versions are affected. An attacker can craft a malicious EMF file that, when opened by a user, triggers the out-of-bounds read to disclose sensitive information from process memory; the vulnerability requires user interaction (opening the file) but no elevated privileges, making it a practical attack vector for phishing or drive-by downloads.

RemediationAI

Users should upgrade Canva Affinity to the patched version as specified in the official Canva security advisory (https://trust.canva.com/?tcuUid=1f728b0d-17f3-4c9c-97e9-6662b769eb62). Check the Canva support portal or release notes for the exact patched version number. Until a patch is deployed, implement the following workarounds: disable automatic opening of EMF files from untrusted sources, configure email clients to block or sandbox EMF attachments, and educate users not to open EMF files from unknown or suspicious senders. For enterprise environments, consider implementing application whitelisting or sandboxed preview tools for potentially malicious document formats. Monitor Talos Intelligence (https://talosintelligence.com/vulnerability_reports/TALOS-2025-2317) and the NIST National Vulnerability Database (https://www.talosintelligence.com/vulnerability_reports/TALOS-2025-2317) for updated guidance.

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 vector graphics format commonly used in Windows environments. The root cause is classified under CWE-125 (Out-of-bounds Read), which occurs when the parser fails to properly validate EMF record lengths or structure boundaries before reading data into a fixed-size buffer. The affected product is identified by CPE cpe:2.3:a:canva:affinity:*:*:*:*:*:*:*:*. EMF parsing is a complex operation involving interpretation of drawing commands, and improper bounds checking on record fields or resource tables can lead to reading beyond the intended buffer, exposing adjacent memory regions containing sensitive data such as encryption keys, authentication tokens, or other process secrets.

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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-2025-61952 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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