CVE-2018-25362
Deferred Deferred - Pending Action
SQL Injection in Twitter-Clone 1 via follow.php

Publication date: 2026-05-25

Last updated on: 2026-05-25

Assigner: VulnCheck

Description
Twitter-Clone 1 contains a SQL injection vulnerability in follow.php that allows attackers to manipulate database queries by injecting SQL code through the userid parameter. Attackers can submit union-based or time-based blind SQL injection payloads to extract sensitive database information including usernames, passwords, and database credentials.
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Meta Information
Published
2026-05-25
Last Modified
2026-05-25
Generated
2026-06-15
AI Q&A
2026-05-26
EPSS Evaluated
2026-06-14
NVD
CVE-2018-25362
EUVD
EUVD-2018-21882
Affected Vendors & Products
Currently, no data is known.
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Exploitability
CWE
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KEV
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CWE ID Description
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.
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Executive Summary

The vulnerability in Twitter-Clone 1 is a SQL injection found in the follow.php file. It occurs because the userid parameter is not properly sanitized, allowing attackers to inject malicious SQL code.

Attackers can use union-based or time-based blind SQL injection techniques to manipulate database queries and extract sensitive information such as usernames, passwords, and database credentials.

Compliance Impact

The vulnerability allows attackers to extract sensitive database information including usernames, passwords, and database credentials through SQL injection. This exposure of sensitive personal data can lead to non-compliance with data protection regulations such as GDPR and HIPAA, which require the protection of personal and sensitive information from unauthorized access.

Specifically, the compromise of usernames and passwords can violate confidentiality requirements, potentially leading to breaches of user privacy and data security mandates under these regulations.

Impact Analysis

This vulnerability can have serious impacts including unauthorized access to sensitive user data stored in the database.

  • Attackers can steal usernames and passwords.
  • Database credentials can be exposed, potentially allowing further compromise of the system.
  • The integrity and confidentiality of the database can be severely compromised.
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