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Vulnerability Database/CVE-2026-18198

CVE-2026-18198: GOLDENHORN ONEIT SQL Injection Vulnerability

CVE-2026-18198 is a blind SQL injection vulnerability in TAC Information Services GOLDENHORN ONEIT that allows attackers to execute unauthorized SQL commands. This post explains its impact, affected versions, and mitigation steps.

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CVE-2026-18198 Overview

CVE-2026-18198 is a blind SQL injection vulnerability affecting GOLDENHORN ONEIT, a product developed by TAC Information Services Internal and External Trade Inc. The flaw stems from improper neutralization of special elements used in an SQL command [CWE-89]. An authenticated attacker with low privileges can inject arbitrary SQL statements over the network without user interaction. Successful exploitation compromises the confidentiality, integrity, and availability of the underlying database. The issue was published on 2026-09-04 and last modified on 2026-09-08. The Turkish national cyber incident response center (USOM) issued a security notification tracking this vulnerability.

Critical Impact

Authenticated attackers can extract, modify, or destroy database contents through blind SQL injection, leading to full compromise of application data.

Affected Products

  • GOLDENHORN ONEIT versions prior to Göbeklitepe
  • Vendor: TAC Information Services Internal and External Trade Inc
  • Deployments exposing the application interface to authenticated users over the network

Discovery Timeline

  • 2026-09-04 - CVE-2026-18198 published to the National Vulnerability Database
  • 2026-09-08 - Last updated in NVD database

Technical Details for CVE-2026-18198

Vulnerability Analysis

The vulnerability resides in how GOLDENHORN ONEIT constructs SQL queries from user-supplied input. The application fails to properly sanitize or parameterize input passed into database queries. This allows a low-privileged authenticated user to inject SQL syntax that alters query semantics. Because the exploitation pattern is blind, the attacker infers results through indirect signals such as response timing or boolean-based response differences. Blind SQL injection is typically automated with tooling that iteratively reconstructs query results one character at a time. The scope remains unchanged, meaning the attacker acts within the security context of the vulnerable application. Impact across confidentiality, integrity, and availability is high because the database backend is directly reachable through the injected queries.

Root Cause

The root cause is improper neutralization of special elements used in an SQL command [CWE-89]. GOLDENHORN ONEIT concatenates user-controlled data into SQL statements without prepared statements or strict input validation. Special characters such as single quotes, semicolons, and SQL keywords pass through to the database engine unchanged, enabling query manipulation.

Attack Vector

Exploitation requires network access to the application and valid low-privilege credentials. No user interaction is required. An attacker submits crafted parameters through legitimate application requests that reach vulnerable query paths. The blind nature of the flaw means the attacker does not receive database results directly in responses. Instead, they use time-based or boolean-based inference techniques to enumerate schema, extract data, or execute arbitrary SQL supported by the underlying database user. Refer to the Turkish Cybersecurity Notification (USOM TR-26-0990) for advisory details.

Detection Methods for CVE-2026-18198

Indicators of Compromise

  • Application requests containing SQL metacharacters such as ', --, ;, UNION, SLEEP(, or BENCHMARK( in parameters
  • Repeated authenticated requests to the same endpoint with incrementally modified payloads consistent with automated tooling
  • Unusual response latency patterns indicative of time-based blind SQL injection probes
  • Database error entries or query anomalies correlated with a single authenticated user session

Detection Strategies

  • Deploy web application firewall rules that flag SQL injection patterns targeting GOLDENHORN ONEIT endpoints
  • Enable database query logging and alert on syntactically malformed queries or queries containing time-delay functions
  • Correlate authentication events with subsequent parameter tampering attempts from the same session
  • Baseline normal request patterns per authenticated user and alert on statistical deviations in query volume or payload entropy

Monitoring Recommendations

  • Forward application, web server, and database logs to a centralized analytics platform for correlation
  • Monitor for spikes in HTTP 500 responses or long-running database transactions initiated by authenticated users
  • Track privileged database account activity and alert on unexpected schema enumeration queries
  • Review outbound network traffic from database servers for signs of staged data exfiltration

How to Mitigate CVE-2026-18198

Immediate Actions Required

  • Upgrade GOLDENHORN ONEIT to the Göbeklitepe release or later as specified by the vendor
  • Rotate credentials for any accounts that may have been used to probe or exploit the vulnerability
  • Audit database accounts used by the application and enforce least-privilege permissions
  • Review recent application and database logs for indicators consistent with SQL injection activity

Patch Information

TAC Information Services Internal and External Trade Inc addresses the issue in GOLDENHORN ONEIT starting with the Göbeklitepe version. Administrators should consult the USOM security notification TR-26-0990 and coordinate with the vendor to obtain the fixed release and any upgrade documentation.

Workarounds

  • Restrict network access to the GOLDENHORN ONEIT application to trusted management networks until patching is complete
  • Enforce strict input validation at reverse proxy or web application firewall layers to block SQL metacharacters in vulnerable parameters
  • Reduce the privileges of the database account used by the application to limit the blast radius of successful injection
  • Increase logging verbosity for authenticated sessions and require multi-factor authentication for application access
bash
# Example WAF rule concept to block common blind SQLi payloads
# (Adapt to your WAF syntax; validate against legitimate traffic first)
SecRule ARGS "@rx (?i)(sleep\(|benchmark\(|union\s+select|--\s|';)" \
    "id:1026018198,phase:2,deny,status:403,log,\
    msg:'Potential SQL injection targeting GOLDENHORN ONEIT (CVE-2026-18198)'"

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

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