CVE-2025-11750
Oct. 22, 2025, 9:12 p.m.
4.3
Medium
Description
In langgenius/dify-web version 1.6.0, the authentication mechanism reveals the existence of user accounts by returning different error messages for non-existent and existing accounts. Specifically, when a login or registration attempt is made with a non-existent username or email, the system responds with a message such as "account not found." Conversely, when the username or email exists but the password is incorrect, a different error message is returned. This discrepancy allows an attacker to enumerate valid user accounts by analyzing the error responses, potentially facilitating targeted social engineering, brute force, or credential stuffing attacks.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Langgenius |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-544
Missing Standardized Error Handling Mechanism
The product does not use a standardized method for handling errors throughout the code, which might introduce inconsistent error handling and resultant weaknesses.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | langgenius | dify-web | 1.6.0 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.0
- Attack Vector: ADJACENT_NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: LOW
- Availability Impact: NONE
CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
Timeline
Published: Oct. 22, 2025, 2:15 p.m.
Last Modified: Oct. 22, 2025, 9:12 p.m.
Last Modified: Oct. 22, 2025, 9:12 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security@huntr.dev
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.