CVE-2025-11145: enVision Information Disclosure Flaw

CVE-2025-11145 Overview

CVE-2025-11145 is an information disclosure vulnerability affecting CBK Soft enVision software. The vulnerability involves observable discrepancy and exposure of sensitive information to unauthorized actors, allowing attackers to perform account footprinting attacks. This weakness enables malicious actors to enumerate user accounts and gather private personal information through network-based attacks without requiring authentication.

Critical Impact

Unauthenticated attackers can exploit observable discrepancies in the application to enumerate valid user accounts and extract sensitive personal information, potentially enabling further targeted attacks.

Affected Products

• CBK Soft enVision versions prior to 250566

Discovery Timeline

• 2025-10-24 - CVE CVE-2025-11145 published to NVD
• 2026-04-15 - Last updated in NVD database

Technical Details for CVE-2025-11145

Vulnerability Analysis

This vulnerability falls under CWE-200 (Exposure of Sensitive Information to an Unauthorized Actor). The enVision application exhibits observable discrepancies in its responses that allow attackers to distinguish between valid and invalid user accounts. This information leakage enables account footprinting, where attackers can systematically identify legitimate user accounts within the system.

The network-accessible nature of this vulnerability means it can be exploited remotely without any prior authentication or user interaction. The impact is primarily on confidentiality, as attackers can extract sensitive user information and private personal data from the affected system.

Root Cause

The root cause of this vulnerability lies in the application's failure to implement consistent response handling for authentication and account lookup operations. When the system processes requests for existing versus non-existing accounts, it returns observably different responses—whether through timing differences, error messages, HTTP status codes, or response content variations. This lack of uniform response behavior creates an information side-channel that attackers can exploit.

Attack Vector

The attack vector is network-based, requiring no authentication or user interaction. An attacker can remotely probe the enVision application by sending crafted requests and analyzing the responses for discrepancies. By systematically varying account identifiers and observing response patterns, attackers can enumerate valid user accounts and potentially extract additional sensitive information.

The attack typically follows this pattern:

1. The attacker sends multiple requests to account-related endpoints with different usernames or identifiers
2. The application responds differently for valid versus invalid accounts
3. By analyzing response timing, content, or error messages, the attacker identifies valid accounts
4. The attacker compiles a list of legitimate user accounts for further targeted attacks

Detection Methods for CVE-2025-11145

Indicators of Compromise

• Unusual patterns of authentication or account lookup requests from a single source IP address
• High volume of failed login attempts across multiple different usernames in rapid succession
• Sequential or systematic queries to user validation endpoints
• Requests with enumerated or dictionary-based username patterns

Detection Strategies

• Implement rate limiting detection rules to identify brute-force enumeration attempts against authentication endpoints
• Monitor for anomalous patterns of requests to user validation or account lookup functionality
• Deploy web application firewall (WAF) rules to detect account enumeration attack signatures
• Analyze server logs for unusual response time variations that may indicate timing-based enumeration

Monitoring Recommendations

• Enable detailed logging for all authentication and account-related API endpoints
• Set up alerts for high-frequency requests to login or account verification endpoints from single sources
• Monitor network traffic for patterns consistent with automated enumeration tools
• Implement user behavior analytics to detect abnormal access patterns

How to Mitigate CVE-2025-11145

Immediate Actions Required

• Upgrade CBK Soft enVision to version 250566 or later immediately
• Implement rate limiting on all authentication and account lookup endpoints
• Review and enhance logging for account-related functionality to detect exploitation attempts
• Consider deploying additional authentication controls such as CAPTCHA or account lockout mechanisms

Patch Information

CBK Soft has addressed this vulnerability in enVision version 250566. Organizations should upgrade to this version or later to remediate the vulnerability. For detailed information about the security update, refer to the USOM Security Advisory TR-25-0361.

Workarounds

• Implement network-level access controls to restrict access to the enVision application to trusted IP ranges only
• Deploy a web application firewall (WAF) with rules to detect and block account enumeration attempts
• Enable account lockout policies after a configurable number of failed authentication attempts
• Ensure all authentication responses are uniform regardless of whether the account exists, including consistent response times and error messages