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CVE-2026-117515

Severity:

HIGH RISK

(7.3)

SQL Injection (CWE-89) in PHP Travel Agency System App

CVE-2026-117515

Deferred

Vulnerability type

Category:

SQL Injection

CWE:

CWE-74, CWE-89

Impact:

Database Confidentiality and Integrity Compromise

Severity:

HIGH RISK

(7.3)

CVSS version:

3.1

Catch this CVE while code is being written

Detect vulnerable code directly in pull requests, so CVEs are fixed before merge.

Summary

A high-severity SQL injection vulnerability affects the PHP Travel Agency System, where input associated with the Search function may be incorporated into database queries without adequate protection.

Because the issue is remotely reachable and a public exploit is reportedly available, an attacker may be able to read, alter, or otherwise interfere with application data depending on database permissions and deployment configuration.

A high-severity SQL injection vulnerability affects the PHP Travel Agency System, where input associated with the Search function may be incorporated into database queries without adequate protection.

Because the issue is remotely reachable and a public exploit is reportedly available, an attacker may be able to read, alter, or otherwise interfere with application data depending on database permissions and deployment configuration.

Affected context

The vulnerability is associated with an unknown function in traceapplication.php and appears to involve the Search argument. It may affect deployments that expose the relevant application functionality over a network and construct database queries from request-controlled input without consistently using parameterized queries or equivalent protections. The exact authentication requirements and affected database operations are not established by the available description.

The vulnerability is associated with an unknown function in traceapplication.php and appears to involve the Search argument. It may affect deployments that expose the relevant application functionality over a network and construct database queries from request-controlled input without consistently using parameterized queries or equivalent protections. The exact authentication requirements and affected database operations are not established by the available description.

Exploit preconditions

  • Attack surface: A remotely accessible web application endpoint associated with the Search function
  • Required access: The ability to send requests to the affected functionality; whether authentication is required is deployment-dependent
  • Trigger point: Processing of the Search argument by code in traceapplication.php
  • Why exploitation is possible: Request-controlled data may influence SQL query construction without sufficient separation between data and query instructions
  • Additional considerations: Exploitability and impact depend on database privileges, application routing, and network exposure
  • Attack surface: A remotely accessible web application endpoint associated with the Search function
  • Required access: The ability to send requests to the affected functionality; whether authentication is required is deployment-dependent
  • Trigger point: Processing of the Search argument by code in traceapplication.php
  • Why exploitation is possible: Request-controlled data may influence SQL query construction without sufficient separation between data and query instructions
  • Additional considerations: Exploitability and impact depend on database privileges, application routing, and network exposure

Why this happens

The underlying issue is likely the unsafe incorporation of externally controlled input into SQL statements. When application data is concatenated into queries or insufficiently constrained before reaching a database API, the database may interpret part of the input as query logic rather than as a value.

This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection). The broader CWE-74 classification reflects improper neutralization of special elements in an interpreted command or query.

The underlying issue is likely the unsafe incorporation of externally controlled input into SQL statements. When application data is concatenated into queries or insufficiently constrained before reaching a database API, the database may interpret part of the input as query logic rather than as a value.

This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection). The broader CWE-74 classification reflects improper neutralization of special elements in an interpreted command or query.

Potential impact

  • An attacker may read sensitive records accessible to the application database account
  • Database contents may be modified, deleted, or corrupted
  • Authentication or authorization data could be exposed or altered
  • Application behavior and business records could be manipulated
  • The vulnerability could enable further compromise if database privileges or stored content are overly broad
  • An attacker may read sensitive records accessible to the application database account
  • Database contents may be modified, deleted, or corrupted
  • Authentication or authorization data could be exposed or altered
  • Application behavior and business records could be manipulated
  • The vulnerability could enable further compromise if database privileges or stored content are overly broad

General mitigation guidance

Mitigation generally focuses on ensuring that untrusted input remains data throughout database processing.

Common defensive patterns include:

  • Use parameterized queries or prepared statements for all database operations
  • Avoid constructing SQL through string concatenation or dynamic query fragments derived from request input
  • Apply allowlisted validation for search fields, sorting options, and other structured parameters
  • Use a database account with only the permissions required by the application
  • Centralize database access controls and apply consistent query-safety standards
  • Avoid exposing detailed database errors to users
  • Add regression tests for every request parameter that reaches a database query

Mitigation generally focuses on ensuring that untrusted input remains data throughout database processing.

Common defensive patterns include:

  • Use parameterized queries or prepared statements for all database operations
  • Avoid constructing SQL through string concatenation or dynamic query fragments derived from request input
  • Apply allowlisted validation for search fields, sorting options, and other structured parameters
  • Use a database account with only the permissions required by the application
  • Centralize database access controls and apply consistent query-safety standards
  • Avoid exposing detailed database errors to users
  • Add regression tests for every request parameter that reaches a database query

How teams detect issues like this

Detection approaches may include:

  • Static analysis rules identifying SQL string concatenation, interpolation, or formatting with request parameters
  • Code review checks for direct use of request data in database APIs
  • Dynamic application testing that verifies search and filtering parameters are safely handled
  • Web application firewall or gateway policies that identify suspicious query-manipulation patterns, while treating them as supplemental controls
  • Database audit monitoring for unexpected query structures, privilege use, and abnormal data access
  • CI policy enforcement requiring parameterized query APIs and security regression coverage

Automated code review and software composition analysis tools may help identify related patterns, but findings should be validated against the application's actual data flow.

Detection approaches may include:

  • Static analysis rules identifying SQL string concatenation, interpolation, or formatting with request parameters
  • Code review checks for direct use of request data in database APIs
  • Dynamic application testing that verifies search and filtering parameters are safely handled
  • Web application firewall or gateway policies that identify suspicious query-manipulation patterns, while treating them as supplemental controls
  • Database audit monitoring for unexpected query structures, privilege use, and abnormal data access
  • CI policy enforcement requiring parameterized query APIs and security regression coverage

Automated code review and software composition analysis tools may help identify related patterns, but findings should be validated against the application's actual data flow.

Sources

SourceLink
github.comgithub.com/oretnom23/php-travel-agency-system/
github.comgithub.com/oretnom23/php-travel-agency-system/issues/9
vuldb.comvuldb.com/cve/CVE-2026-117515
vuldb.comvuldb.com/submit/1024623
vuldb.comvuldb.com/vuln/427081
vuldb.comvuldb.com/vuln/427081/cti

Frequently asked

questions

The reported issue is remotely exploitable when the affected Search functionality is network-accessible. The precise scope depends on routing, authentication, and deployment controls.

The available information does not establish whether authentication is required. Access to the vulnerable endpoint and the application's database query path are the key conditions.

Replace dynamically constructed SQL with parameterized queries or prepared statements, and validate structured search inputs using strict allowlists.

Use secure database-access abstractions, minimize database privileges, review all request-to-query data flows, and enforce automated security testing and code-review policies.

The reported issue is remotely exploitable when the affected Search functionality is network-accessible. The precise scope depends on routing, authentication, and deployment controls.

The available information does not establish whether authentication is required. Access to the vulnerable endpoint and the application's database query path are the key conditions.

Replace dynamically constructed SQL with parameterized queries or prepared statements, and validate structured search inputs using strict allowlists.

Use secure database-access abstractions, minimize database privileges, review all request-to-query data flows, and enforce automated security testing and code-review policies.

Find out what's already
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