CVE-2026-25050

Vendure is an open-source headless commerce platform. Prior to version 3.5.3, the `NativeAuthenticationStrategy.authenticate()` method is vulnerable to a timing attack that allows attackers to enumerate valid usernames (email addresses). In `packages/core/src/config/auth/native-authentication-strategy.ts`, the authenticate method returns immediately if a user is not found. The significant timing difference (~200-400ms for bcrypt vs ~1-5ms for DB miss) allows attackers to reliably distinguish between existing and non-existing accounts. Version 3.5.3 fixes the issue.

CVSS v3 5.3 MEDIUM

5.3^/10

CVSS v3 : MEDIUM

Vector :

Exploitability : 3.9 / Impact : 1.4

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required NONE

User Interaction NONE

Confidentiality Impact LOW

Integrity Impact NONE

Availability Impact NONE

Scope UNCHANGED

References

Link	Resource
https://github.com/vendurehq/vendure/releases/tag/v3.5.3	Product Release Notes
https://github.com/vendurehq/vendure/security/advisories/GHSA-6f65-4fv2-wwch	Mitigation Vendor Advisory

Configurations

Configuration 1 (hide)

cpe:2.3:a:vendure:vendure:*:*:*:*:*:*:*:*

History

26 Feb 2026, 21:59

Type	Values Removed	Values Added
CVSS	v2 : ~~unknown~~ v3 : ~~unknown~~	v2 : unknown v3 : 5.3
CPE		cpe:2.3:a:vendure:vendure::::::::
First Time		Vendure vendure Vendure
References	~~() https://github.com/vendurehq/vendure/releases/tag/v3.5.3 -~~	() https://github.com/vendurehq/vendure/releases/tag/v3.5.3 - Product, Release Notes
References	~~() https://github.com/vendurehq/vendure/security/advisories/GHSA-6f65-4fv2-wwch -~~	() https://github.com/vendurehq/vendure/security/advisories/GHSA-6f65-4fv2-wwch - Mitigation, Vendor Advisory

30 Jan 2026, 16:16

Type	Values Removed	Values Added
New CVE

Information

Published : 2026-01-30 16:16

Updated : 2026-02-26 21:59

NVD link : CVE-2026-25050

Mitre link : CVE-2026-25050

CVE.ORG link : CVE-2026-25050

JSON object : View

Products Affected

vendure

vendure

CWE

CWE-202

Exposure of Sensitive Information Through Data Queries

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