Cybersecurity Vulnerabilities

CVE-2025-13596: Unveiling Sensitive Data Exposure in ATISoluciones CIGES Application

Overview

CVE-2025-13596 describes a sensitive information disclosure vulnerability affecting ATISoluciones CIGES Application version 2.15.6 and earlier. This vulnerability resides within the application’s error handling mechanism. When unexpected errors occur, the application inadvertently leaks sensitive information, such as internal file paths, SQL queries, database credentials, and environment configurations, to potentially malicious, unauthenticated actors. While this vulnerability doesn’t directly compromise the system, it provides valuable information that can be used for reconnaissance and subsequent attacks.

Technical Details

The root cause of CVE-2025-13596 lies in the application’s inadequate handling of exceptions. Instead of gracefully handling errors and presenting user-friendly messages, the application returns detailed error messages and full stack traces to the client. These stack traces often contain highly sensitive information, including:

  • Internal Filesystem Paths: Revealing the directory structure of the server.
  • SQL Queries: Exposing the structure and logic of database interactions, potentially revealing vulnerabilities like SQL injection points.
  • Database Connection Details: Including usernames, passwords, and connection strings, allowing unauthorized database access.
  • Environment Configuration Data: Disclosing API keys, internal IP addresses, and other sensitive configuration settings.

An attacker can trigger these errors by sending malformed requests or exploiting edge cases in the application’s input validation. The absence of proper error masking and sanitization allows the sensitive data to be exposed.

CVSS Analysis

While currently listed as N/A, a complete CVSS score would require further analysis considering the Common Vulnerability Scoring System (CVSS). However, based on the description, the following observations can be made:

  • Attack Vector (AV): Likely Network (N) as the vulnerability is remotely exploitable.
  • Attack Complexity (AC): Possibly Low (L), depending on the ease of triggering the error conditions.
  • Privileges Required (PR): None (N) as the issue affects unauthenticated users.
  • User Interaction (UI): None (N).
  • Scope (S): Unchanged (U).
  • Confidentiality (C): High (H) due to the exposure of sensitive information.
  • Integrity (I): None (N). The vulnerability does not directly affect system integrity.
  • Availability (A): None (N). The vulnerability does not directly affect system availability.

Based on these observations, a preliminary CVSS score might fall in the range of 5.3 to 7.5 (Medium to High), depending on the Attack Complexity. A full CVSS calculation should be performed by security professionals for accurate risk assessment.

Possible Impact

The exposure of sensitive information through CVE-2025-13596 can have several serious consequences:

  • Reconnaissance: Attackers can gather detailed information about the system’s architecture and configuration, aiding in the planning of more sophisticated attacks.
  • Database Compromise: Exposed database credentials can lead to unauthorized access to the database, allowing attackers to steal, modify, or delete sensitive data.
  • Privilege Escalation: Exposed API keys or internal configuration settings might enable attackers to escalate their privileges within the system.
  • Data Breach: The culmination of the above impacts can result in a significant data breach, compromising sensitive customer data and leading to reputational damage and legal liabilities.

Mitigation or Patch Steps

To mitigate the risks associated with CVE-2025-13596, the following steps are recommended:

  • Upgrade to a Patched Version: The most effective solution is to upgrade to a patched version of the ATISoluciones CIGES Application that addresses the error handling vulnerability. Contact ATISoluciones for the latest version and patch information.
  • Implement Proper Error Handling: Implement robust error handling mechanisms that mask sensitive information and provide generic error messages to the client. Log detailed error information internally for debugging purposes, but ensure this information is not exposed to external users.
  • Input Validation and Sanitization: Thoroughly validate and sanitize all user inputs to prevent the injection of malicious data that could trigger error conditions.
  • Least Privilege Principle: Ensure that database accounts and other system resources are granted only the minimum necessary privileges.
  • Web Application Firewall (WAF): Deploy a WAF to filter out malicious requests and block attempts to trigger the vulnerability.
  • Regular Security Audits: Conduct regular security audits and penetration testing to identify and address potential vulnerabilities.

References

Cybersecurity specialist and founder of Gowri Shankar Infosec - a professional blog dedicated to sharing actionable insights on cybersecurity, data protection, server administration, and compliance frameworks including SOC 2, PCI DSS, and GDPR.

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