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CVE-2026-101013

Severity:

HIGH RISK

(7.3)

SQL Injection (CWE-89) in CloudClassroom PHP Project

CVE-2026-101013

Deferred

Vulnerability type

Category:

SQL Injection

CWE:

CWE-74, CWE-89

Impact:

Unauthorized Database Access and Data Manipulation

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

CloudClassroom-PHP-Project contains a SQL injection vulnerability in the editid argument processed by updateresultdetails.php. A remote attacker may manipulate database queries when the endpoint accepts attacker-controlled input without safely separating data from SQL syntax.

Affected context

The vulnerability occurs in deployments of CloudClassroom-PHP-Project using affected code in updateresultdetails.php. Risk is present when the remotely reachable endpoint processes the editid parameter through a database query without adequate parameterization, input validation, or equivalent query-safety controls.

Exploit preconditions

  • Attack surface: A remotely accessible web endpoint
  • Required access: Network access to the affected application; authentication requirements may depend on deployment configuration
  • Trigger point: Processing the editid argument in updateresultdetails.php
  • Why exploitation is possible: Attacker-controlled input may be incorporated into a SQL statement without being treated strictly as data

Why this happens

The underlying bug is improper separation of untrusted input from SQL commands. If the editid value is concatenated into a query or passed through an unsafe database abstraction, crafted input can alter the intended query structure. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and is also related to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component.

Potential impact

  • An attacker may read unauthorized database records
  • An attacker could modify or delete application data
  • Database integrity and classroom result information may be compromised
  • The vulnerability could support account, application, or infrastructure compromise depending on database privileges
  • Sensitive information may be exposed through error messages or query results

General mitigation guidance

Mitigation generally centers on ensuring that database queries treat external values strictly as data.

Common defensive patterns include:

  • Using parameterized queries or prepared statements for every database operation
  • Applying allowlist validation and strict type handling to identifier fields such as editid
  • Avoiding dynamic SQL construction from request parameters
  • Restricting database accounts to the minimum permissions required by the application
  • Suppressing detailed database errors from public responses while preserving secure server-side logging
  • Reducing direct exposure of administrative or record-update endpoints through appropriate authorization controls

How teams detect issues like this

Organizations can assess for this class of issue through:

  • Static analysis rules that identify string concatenation or interpolation of request parameters into SQL queries
  • Code review of updateresultdetails.php and related database-access functions
  • Dynamic application testing for unexpected database errors, altered query behavior, and unsafe parameter handling
  • Web-application firewall or gateway policies that identify suspicious requests while recognizing that filtering is not a substitute for safe query construction
  • CI security checks requiring parameterized database APIs and rejecting unsafe query-building patterns

Sources

SourceLink
github.comgithub.com/vinniboy021-blip/Advisory/blob/main/updateresultdetails-sqli.md
vuldb.comvuldb.com/cve/CVE-2026-101013
vuldb.comvuldb.com/submit/915507
vuldb.comvuldb.com/vuln/410883
vuldb.comvuldb.com/vuln/410883/cti

Frequently asked

questions

Yes. The affected web functionality can be reached remotely, although successful exploitation may still depend on endpoint exposure, authentication, and authorization controls.

Not necessarily. The required access depends on how the endpoint is deployed and protected; network reachability alone may be sufficient if no effective access control is enforced.

Use parameterized queries or prepared statements, validate identifier inputs according to their expected type, and avoid constructing SQL statements from request values.

Combine secure database APIs with least-privilege database accounts, focused code review, static analysis, dynamic testing, and CI policies that detect unsafe SQL construction.

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