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CVE-2026-97883

Severity:

HIGH RISK

(7.3)

SQL Injection (CWE-89) in CloudClassroom updatequery.php

CVE-2026-97883

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

A SQL injection vulnerability in CloudClassroom-PHP-Project allows remotely supplied input in the gid argument to influence database queries. An attacker may be able to read, alter, or interfere with database data when the affected updatequery.php functionality is reachable and does not safely parameterize the input.

Affected context

The issue occurs in an unknown function within updatequery.php in CloudClassroom-PHP-Project. It becomes risky when the endpoint is remotely reachable, the gid argument is accepted from an untrusted request, and its value is incorporated into a database query without adequate separation between data and SQL syntax.

Exploit preconditions

  • Attack surface: The remotely accessible functionality in updatequery.php - Required access: Network access to the affected endpoint; authentication

requirements depend on the application's access controls

  • Trigger point: Processing of the gid argument - Why exploitation is possible: User-controlled input may reach a database

query without reliable parameterization or equivalent query-boundary

protections

Why this happens

The underlying bug is a failure to treat the gid argument strictly as data when constructing or executing a database query. If application input is concatenated into SQL or passed through insufficient filtering, database syntax can be influenced by the requester. This maps primarily to CWE-89 (SQL Injection), with CWE-74 reflecting the broader class of improper neutralization of special elements in an interpreted language.

Potential impact

  • An attacker may read information from accessible database tables.
  • An attacker could modify, insert, or delete application records.
  • Database integrity and application workflows may be disrupted.
  • Sensitive information could be exposed, depending on database privileges.
  • The application may become a stepping stone for further compromise if excessive database permissions are available.

General mitigation guidance

Mitigation generally focuses on ensuring that all database operations use parameterized queries, prepared statements, or safe query-builder abstractions rather than string concatenation. Input should be treated as untrusted even when gid is expected to be numeric, with strict type and schema validation applied before query execution. Database accounts should follow least privilege, and error responses should avoid exposing query or database details. Secure-by-default data-access helpers, centralized query construction, and controlled endpoint access can reduce exposure.

How teams detect issues like this

Detection can include static analysis for SQL construction that combines request parameters with query strings, especially around updatequery.php and the gid variable. Code review should look for missing prepared statements, implicit type conversion, ad hoc escaping, and database accounts with broad write privileges. Runtime monitoring may identify unusual query errors, repeated malformed requests, or unexpected database modifications. CI policy checks and automated code-review tools can help enforce parameterized database access patterns.

Sources

SourceLink
github.comgithub.com/vinniboy021-blip/Advisory/blob/main/updatequery-sqli.md
vuldb.comvuldb.com/cve/CVE-2026-97883
vuldb.comvuldb.com/submit/914562
vuldb.comvuldb.com/vuln/409902
vuldb.comvuldb.com/vuln/409902/cti

Frequently asked

questions

Yes, the disclosure indicates that the affected functionality can be reached remotely. Exploitability still depends on endpoint exposure and any authentication or authorization controls.

The attacker needs network access to the relevant updatequery.php functionality and the ability to supply or influence the gid argument. Required authentication depends on the deployment.

Use parameterized queries or prepared statements for every database operation, validate gid against its expected type and range, and avoid assembling SQL with request data.

Centralize safe data-access patterns, apply least-privilege database permissions, include injection-focused testing in CI, and monitor application and database activity for anomalous behavior.

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