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CWE-204 (响应差异性信息暴露) — Vulnerability Class 189

189 vulnerabilities classified as CWE-204 (响应差异性信息暴露). AI Chinese analysis included.

CWE-204, Observable Response Discrepancy, is a design weakness where software systems provide inconsistent or distinct feedback based on internal states, inadvertently leaking sensitive information to unauthorized external actors. Attackers typically exploit this by analyzing variations in response times, error messages, or status codes to infer the existence of specific users, valid input formats, or underlying system configurations. For instance, a login system might return a generic error for invalid usernames but a specific message for invalid passwords, allowing attackers to enumerate valid accounts. To mitigate this risk, developers must ensure uniform response behaviors regardless of the specific internal failure or state. This involves standardizing error messages, normalizing response times, and implementing consistent logging practices that do not expose granular details about the application’s internal logic or data validity to the end user.

MITRE CWE Description
The product provides different responses to incoming requests in a way that reveals internal state information to an unauthorized actor outside of the intended control sphere.
Common Consequences (1)
Confidentiality, Access Control Read Application Data, Bypass Protection Mechanism
Mitigations (2)
Architecture and Design Compartmentalize the system to have "safe" areas where trust boundaries can be unambiguously drawn. Do not allow sensitive data to go outside of the trust boundary and always be careful when interfacing with a compartment outside of the safe area. Ensure that appropriate compartmentalization is built into the system design, and the compartmentalization allows for and reinforces privilege separatio…
Implementation Ensure that error messages only contain minimal details that are useful to the intended audience and no one else. The messages need to strike the balance between being too cryptic (which can confuse users) or being too detailed (which may reveal more than intended). The messages should not reveal the methods that were used to determine the error. Attackers can use detailed information to refine or…
Examples (1)
The following code checks validity of the supplied username and password and notifies the user of a successful or failed login.
my $username=param('username'); my $password=param('password'); if (IsValidUsername($username) == 1) { if (IsValidPassword($username, $password) == 1) { print "Login Successful"; } else { print "Login Failed - incorrect password"; } } else { print "Login Failed - unknown username"; }
Bad · Perl
"Login Failed - incorrect username or password"
Result
CVE ID Title CVSS Severity Published
CVE-2025-66307 Grav Admin Plugin vulnerable to User Enumeration & Email Disclosure — grav 6.5 Medium 2025-12-01
CVE-2025-59116 User enumeration in Windu CMS — Windu CMS 5.3AI Medium AI 2025-11-18
CVE-2025-25236 Omnissa Workspace ONE UEM 安全漏洞 — Omnissa Workspace ONE UEM 5.3 Medium 2025-11-12
CVE-2025-62236 Frontier Airlines publicly available email address validation — flyfrontier.com 5.3 Medium 2025-10-23
CVE-2025-34155 Tibbo AggreGate Network Manager < 6.40.05 Login Functionality User Enumeration — AggreGate Network Manager 8.2AI High AI 2025-10-23
CVE-2025-34255 D-Link Nuclias Connect <= v1.3.1.4 Forgot Password Account Enumeration — Nuclias Connect 5.3AI Medium AI 2025-10-16
CVE-2025-34254 D-Link Nuclias Connect <= v1.3.1.4 Login Account Enumeration — Nuclias Connect 5.3AI Medium AI 2025-10-16
CVE-2025-61789 Icinga DB Web hidden/protected custom variables are prone to filter enumeration — icingadb-web 5.3 Medium 2025-10-16
CVE-2025-42903 User Enumeration and Sensitive Data Exposure via RFC Function in SAP Financial Service Claims Management — SAP Financial Service Claims Management 4.3 Medium 2025-10-14
CVE-2025-58586 User Enumeration by excessive error output — Baggage Analytics 5.3 Medium 2025-10-06
CVE-2025-58442 Saleor has user enumeration vulnerability due to different error messages — saleor 5.3 Medium 2025-09-09
CVE-2025-9824 User Enumeration via Response Timing — Mautic 5.9 Medium 2025-09-03
CVE-2025-9109 Portabilis i-Diario Password Recovery Endpoint email observable response discrepancy — i-Diario 3.7 Low 2025-08-18
CVE-2025-46390 Emby MediaBrowser 安全漏洞 — MediaBrowser 7.5 High 2025-08-06
CVE-2025-54834 OPEXUS FOIAXpress Public Access Link (PAL) unauthenticated username enumeration — FOIAXpress Public Access Link (PAL) 5.3 Medium 2025-07-31
CVE-2025-52899 Tuleap vulnerable to user enumeration via the lost password form — tuleap 5.3 Medium 2025-07-29
CVE-2025-54129 HAXiam allows for User Enumeration — issues 4.3 Medium 2025-07-21
CVE-2025-27451 CVE-2025-27451 — Endress+Hauser MEAC300-FNADE4 5.3 Medium 2025-07-03
CVE-2025-3092 MB connect line: Observable response discrepancy in mbCONNECT24/mymbCONNECT24 — myREX24 7.5 High 2025-06-24
CVE-2025-5485 SinoTrack GPS Receiver Weak Authentication — IOT PC Platform 8.6 High 2025-06-12
CVE-2025-49187 User enumeration — SICK Field Analytics 5.3 Medium 2025-06-12
CVE-2025-0163 IBM Security Verify Access information disclosure — Security Verify Access 5.3 Medium 2025-06-11
CVE-2025-3939 Observable Response Discrepancy — Niagara Framework 5.3 Medium 2025-05-22
CVE-2025-48015 Observable Response Discrepancy — SEL-5056 Software-Defined Network Flow Controller 3.7 Low 2025-05-20
CVE-2024-51447 Siemens Polarion 安全漏洞 — Polarion V2310 5.3 Medium 2025-05-13
CVE-2025-46736 Umbraco Makes User Enumeration Feasible Based on Timing of Login Response — Umbraco-CMS 5.3 Medium 2025-05-06
CVE-2025-24342 Bosch Rexroth ctrlX OS 安全漏洞 — ctrlX OS - Device Admin 5.3 Medium 2025-04-30
CVE-2025-30150 Shopware 6 allows attackers to check for registered accounts through the store-api — shopware 5.3AI Medium AI 2025-04-08
CVE-2025-30280 Siemens Mendix Runtime 安全漏洞 — Mendix Runtime V10 5.3 Medium 2025-04-08
CVE-2024-56476 IBM TXSeries for Multiplatforms information disclosure — TXSeries for Multiplatforms 5.3 Medium 2025-04-02

Vulnerabilities classified as CWE-204 (响应差异性信息暴露) represent 189 CVEs. The CWE taxonomy describes the weakness; review individual CVEs for product-specific impact.