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CVE-2026-109521

Severity:

HIGH RISK

(7.3)

SQL Injection (CWE-89) in Online-Appointment Booking

CVE-2026-109521

Deferred

Vulnerability type

Category:

SQL Injection

CWE:

CWE-74, CWE-89

Impact:

Database compromise and unauthorized data access

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 remotely reachable SQL injection vulnerability in the Online-Appointment-Booking-System may allow attacker-controlled input in the dateselected argument to alter database queries. The issue becomes risky when that value is incorporated into SQL statements without parameterization or equivalent query-safety controls.

A remotely reachable SQL injection vulnerability in the Online-Appointment-Booking-System may allow attacker-controlled input in the dateselected argument to alter database queries. The issue becomes risky when that value is incorporated into SQL statements without parameterization or equivalent query-safety controls.

Affected context

The vulnerability is associated with the changebookingstatus.php component of the Online-Appointment-Booking-System. It may occur when the remotely supplied dateselected parameter is processed by a database query without adequate separation between input data and SQL syntax. The project uses a rolling release model, so affected deployments may not map cleanly to conventional version numbers.

The vulnerability is associated with the changebookingstatus.php component of the Online-Appointment-Booking-System. It may occur when the remotely supplied dateselected parameter is processed by a database query without adequate separation between input data and SQL syntax. The project uses a rolling release model, so affected deployments may not map cleanly to conventional version numbers.

Exploit preconditions

  • Attack surface: A remotely accessible request handled by changebookingstatus.php - Required access: Network access to the affected application endpoint; authentication requirements may depend on deployment configuration - Trigger point: Processing of the dateselected argument - Why exploitation is possible: The argument may influence SQL query construction when input is not safely parameterized or constrained
  • Attack surface: A remotely accessible request handled by changebookingstatus.php - Required access: Network access to the affected application endpoint; authentication requirements may depend on deployment configuration - Trigger point: Processing of the dateselected argument - Why exploitation is possible: The argument may influence SQL query construction when input is not safely parameterized or constrained

Why this happens

The underlying bug is an SQL injection flaw, classified primarily as CWE-89. Application input is apparently allowed to affect database command structure rather than being treated strictly as a value. CWE-74 is also relevant because externally controlled input may be interpreted as part of a broader command or query language.

The underlying bug is an SQL injection flaw, classified primarily as CWE-89. Application input is apparently allowed to affect database command structure rather than being treated strictly as a value. CWE-74 is also relevant because externally controlled input may be interpreted as part of a broader command or query language.

Potential impact

  • An attacker may read data that the application is authorized to access.
  • An attacker could alter or delete database records.
  • An attacker may bypass application-level data restrictions.
  • An attacker could disrupt appointment-management functionality.
  • Sensitive information may be exposed or used to support further attacks.
  • An attacker may read data that the application is authorized to access.
  • An attacker could alter or delete database records.
  • An attacker may bypass application-level data restrictions.
  • An attacker could disrupt appointment-management functionality.
  • Sensitive information may be exposed or used to support further attacks.

General mitigation guidance

Mitigation generally centers on using parameterized queries or prepared statements for every database operation. Input should be treated as untrusted data, validated against an appropriate allowlist where practical, and kept separate from query syntax. Database accounts should use least privilege, unnecessary query capabilities should be restricted, and detailed database errors should not be exposed to remote users. Secure-by-default data-access abstractions and centralized query-handling patterns can reduce repeated injection risks.

Mitigation generally centers on using parameterized queries or prepared statements for every database operation. Input should be treated as untrusted data, validated against an appropriate allowlist where practical, and kept separate from query syntax. Database accounts should use least privilege, unnecessary query capabilities should be restricted, and detailed database errors should not be exposed to remote users. Secure-by-default data-access abstractions and centralized query-handling patterns can reduce repeated injection risks.

How teams detect issues like this

Detection approaches include static analysis for string-built SQL and database APIs that concatenate request parameters into queries. Code reviews should examine handlers for dateselected and similar request values, especially where validation occurs without parameter binding. Dynamic testing can monitor responses and database behavior for unexpected query interpretation, while web-application policies can flag suspicious input patterns and anomalous database activity. Automated code-review and SAST tools may help identify these patterns during development.

Detection approaches include static analysis for string-built SQL and database APIs that concatenate request parameters into queries. Code reviews should examine handlers for dateselected and similar request values, especially where validation occurs without parameter binding. Dynamic testing can monitor responses and database behavior for unexpected query interpretation, while web-application policies can flag suspicious input patterns and anomalous database activity. Automated code-review and SAST tools may help identify these patterns during development.

Sources

SourceLink
github.comgithub.com/girishsaraf/Online-Appointment-Booking-System/
github.comgithub.com/girishsaraf/Online-Appointment-Booking-System/issues/11
vuldb.comvuldb.com/cve/CVE-2026-109521
vuldb.comvuldb.com/submit/984339
vuldb.comvuldb.com/vuln/417184
vuldb.comvuldb.com/vuln/417184/cti

Frequently asked

questions

Yes. The reported attack surface is remotely accessible, although practical

exploitability may still depend on routing, authentication, authorization,

and other deployment controls.

The available description does not establish whether authentication is

required. The decisive factors are whether the affected endpoint is exposed

and what access controls protect it.

Use parameterized queries or prepared statements, validate inputs by expected

type and format, and ensure the database account has only the permissions

required by the application.

Standardize safe data-access APIs, prohibit query construction through string

concatenation, review request-to-database data flows, and combine static

analysis with runtime monitoring and security testing.

Yes. The reported attack surface is remotely accessible, although practical

exploitability may still depend on routing, authentication, authorization,

and other deployment controls.

The available description does not establish whether authentication is

required. The decisive factors are whether the affected endpoint is exposed

and what access controls protect it.

Use parameterized queries or prepared statements, validate inputs by expected

type and format, and ensure the database account has only the permissions

required by the application.

Standardize safe data-access APIs, prohibit query construction through string

concatenation, review request-to-database data flows, and combine static

analysis with runtime monitoring and security testing.

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