Subscriber SQL Injection in Unicamp

Executive Summary

CVE-2025-69094 is a high-priority SQL Injection vulnerability found in the WordPress Unicamp Theme versions 2.2.2 and below.

This flaw allows attackers to interact directly with the website's database by injecting malicious SQL code, which can lead to unauthorized access to sensitive information.

It is classified under the OWASP Top 10 category A3: Injection, indicating it is a highly dangerous and commonly exploited vulnerability.

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Mitigation Strategies

Immediate mitigation steps include applying the Patchstack mitigation rule to block attacks targeting this SQL Injection vulnerability until an official patch is released.

It is advised to update the Unicamp theme to a version higher than 2.2.2 once available or seek assistance from your hosting provider or a web developer to implement protective measures.

Using automated vulnerability mitigation tools provided by Patchstack can help protect your website from exploitation in the meantime.

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Impact Analysis

This vulnerability can have serious impacts including the potential theft of sensitive information from the website's database.

Because it allows attackers to execute arbitrary SQL commands, it can compromise the confidentiality of data (high impact on confidentiality), cause limited availability issues, and potentially disrupt the website's normal operations.

Given its high CVSS score of 8.5, it is considered a severe threat with a high likelihood of exploitation, especially in mass attack campaigns targeting many websites using this theme.

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Detection Guidance

The vulnerability is a SQL Injection flaw in the WordPress Unicamp Theme versions 2.2.2 and below, which allows attackers to interact directly with the website's database.

Detection typically involves monitoring for suspicious SQL injection attempts targeting the theme, such as unusual database queries or HTTP requests containing SQL syntax.

While no specific commands are provided in the available resources, common detection methods include analyzing web server logs for injection patterns or using web application firewalls (WAF) with rules designed to detect SQL injection attempts.

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