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CVE Vulnerability Database

CVE-2026-1023: Gotac Statistics Database Auth Bypass Flaw

CVE-2026-1023 is an authentication bypass flaw in Gotac Statistics Database System allowing unauthenticated attackers to query database contents. This article covers the technical details, affected versions, and mitigation.

Published:

CVE-2026-1023 Overview

The Statistics Database System developed by Gotac contains a Missing Authentication vulnerability (CWE-306) that enables unauthenticated remote attackers to directly exploit a specific functionality to query database contents. This authentication bypass allows threat actors to access sensitive statistical data without providing valid credentials, potentially exposing confidential information stored within the database system.

Critical Impact

Unauthenticated attackers can remotely query database contents without authentication, leading to unauthorized access to potentially sensitive statistical data.

Affected Products

  • Gotac Statistics Database System

Discovery Timeline

  • 2026-01-16 - CVE-2026-1023 published to NVD
  • 2026-01-16 - Last updated in NVD database

Technical Details for CVE-2026-1023

Vulnerability Analysis

This vulnerability represents a critical authentication bypass issue classified under CWE-306 (Missing Authentication for Critical Function). The Gotac Statistics Database System fails to implement proper authentication controls on a specific functionality that allows database queries. This architectural flaw means that remote attackers can access the query functionality without being required to authenticate, bypassing intended access controls entirely.

The vulnerability is exploitable over the network without requiring any privileges or user interaction, making it particularly dangerous for internet-facing deployments. The primary impact is on data confidentiality, as attackers can extract database contents without authorization.

Root Cause

The root cause of this vulnerability is the absence of authentication mechanisms on critical database query functionality. The application fails to verify user identity before processing database requests, allowing unauthenticated access to sensitive operations. This represents a fundamental design flaw where security controls were not implemented on exposed endpoints that handle sensitive data retrieval operations.

Attack Vector

The attack vector is network-based, allowing remote exploitation. An attacker can directly access the vulnerable functionality over the network without requiring:

  • Valid credentials or authentication tokens
  • Any special privileges on the target system
  • User interaction or social engineering

The exploitation is straightforward - attackers can send specially crafted requests to the exposed database query functionality and receive database contents in response. The attack requires low complexity and can be automated for mass exploitation of vulnerable systems.

The vulnerability allows attackers to craft requests that directly query the database system. Without proper authentication checks, the system processes these requests as if they were from legitimate users, returning database contents to the attacker. For detailed technical information, refer to the TWCCERT Security Advisory.

Detection Methods for CVE-2026-1023

Indicators of Compromise

  • Unusual or unexpected database query patterns from unauthenticated sessions
  • Network traffic to database query endpoints without corresponding authentication requests
  • Large volumes of data exfiltration from the Statistics Database System
  • Access logs showing queries executed without valid session tokens

Detection Strategies

  • Monitor for unauthenticated requests to database query endpoints
  • Implement network-level detection for traffic patterns targeting the Statistics Database System
  • Review application logs for query execution without prior authentication events
  • Deploy intrusion detection rules to identify exploitation attempts

Monitoring Recommendations

  • Enable comprehensive logging on the Statistics Database System to capture all query attempts
  • Implement real-time alerting for unauthenticated access attempts to sensitive endpoints
  • Monitor network traffic for unusual data volumes leaving the database system
  • Establish baseline behavior for legitimate database access patterns to identify anomalies

How to Mitigate CVE-2026-1023

Immediate Actions Required

  • Restrict network access to the Statistics Database System to trusted IP addresses only
  • Implement firewall rules to block unauthorized external access to the vulnerable functionality
  • Review and audit any data that may have been accessed through this vulnerability
  • Contact Gotac for security updates and patching guidance

Patch Information

Organizations should consult the vendor advisory and apply any available security patches. For official guidance, refer to the TWCCERT Security Advisory and the TWCCERT Incident Report for detailed remediation steps and vendor patch availability.

Workarounds

  • Implement network segmentation to isolate the Statistics Database System from untrusted networks
  • Deploy a web application firewall (WAF) or reverse proxy to enforce authentication before requests reach the application
  • Disable or restrict access to the vulnerable query functionality until a patch is available
  • Implement IP whitelisting to limit access to known, trusted sources only
bash
# Example firewall rule to restrict access (adjust for your environment)
# Block external access to the Statistics Database System port
iptables -A INPUT -p tcp --dport <database_port> -s ! <trusted_network> -j DROP

# Allow only trusted IPs to access the service
iptables -A INPUT -p tcp --dport <database_port> -s <trusted_ip_range> -j ACCEPT

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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