CVE-2026-7742
Received Received - Intake
SQL Injection in CodeAstro Online Classroom

Publication date: 2026-05-04

Last updated on: 2026-05-04

Assigner: VulDB

Description
A flaw has been found in CodeAstro Online Classroom 1.0. The affected element is an unknown function of the file /OnlineClassroom/facultylogin. Executing a manipulation of the argument fid can lead to sql injection. The attack can be executed remotely. The exploit has been published and may be used.
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Meta Information
Published
2026-05-04
Last Modified
2026-05-04
Generated
2026-05-07
AI Q&A
2026-05-04
EPSS Evaluated
2026-05-05
NVD
EUVD
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
codeastro online_classroom 1.0
Helpful Resources
Exploitability
CWE
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KEV
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CWE ID Description
CWE-74 The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.
CWE-89 The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?

This vulnerability is a SQL injection flaw found in CodeAstro Online Classroom 1.0, specifically in the file /OnlineClassroom/facultylogin. It occurs due to improper input validation of the 'fid' parameter, which allows attackers to inject malicious SQL code into database queries.

An attacker can exploit this remotely by manipulating the 'fid' argument to execute arbitrary SQL commands, potentially gaining unauthorized access to the database and sensitive information.


How can this vulnerability impact me? :

Exploiting this vulnerability can lead to unauthorized database access, data manipulation, leakage of sensitive information, and potential full system compromise.

Attackers can execute arbitrary SQL commands remotely, which may result in loss of data integrity, confidentiality breaches, and disruption of service.


How can this vulnerability be detected on my network or system? Can you suggest some commands?

This SQL injection vulnerability in Online Classroom V1.0 can be detected by testing the 'fid' parameter in the /OnlineClassroom/facultylogin endpoint for SQL injection flaws.

One effective method is to use the sqlmap tool to automate detection and exploitation attempts. For example, you can run a command like:

  • sqlmap -u "http://target/OnlineClassroom/facultylogin?fid=1" --batch

This command tests the 'fid' parameter for SQL injection vulnerabilities by sending various payloads and analyzing responses.


What immediate steps should I take to mitigate this vulnerability?

Immediate mitigation steps include:

  • Implement prepared statements with parameter binding to prevent SQL injection.
  • Apply strict input validation on the 'fid' parameter to ensure only expected values are accepted.
  • Minimize database user permissions to limit the impact of any potential exploit.
  • Conduct regular security audits and code reviews to identify and fix similar vulnerabilities.

How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:

The SQL injection vulnerability in CodeAstro Online Classroom 1.0 allows unauthorized database access, data manipulation, and sensitive information leakage. Such security flaws can lead to non-compliance with common standards and regulations like GDPR and HIPAA, which require protection of personal and sensitive data against unauthorized access and breaches.

Failure to address this vulnerability could result in exposure of personal data, violating data protection requirements and potentially leading to legal and financial penalties under these regulations.


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