Overview
This report provides an in-depth analysis of a serious security vulnerability, CVE-2025-49854, that affects Anh Tran Slim SEO up to version 4.5.4. This vulnerability, if exploited, could lead to potential system compromise or data leakage, posing a significant threat to users and organizations that rely on this software for SEO purposes.
Vulnerability Summary
CVE ID: CVE-2025-49854
Severity: High (CVSS: 7.6)
Attack Vector: Network
Privileges Required: Low
User Interaction: None
Impact: Potential system compromise or data leakage
Affected Products
Escape the Surveillance Era
Most apps won’t tell you the truth.
They’re part of the problem.
Phone numbers. Emails. Profiles. Logs.
It’s all fuel for surveillance.
Ameeba Chat gives you a way out.
- • No phone number
- • No email
- • No personal info
- • Anonymous aliases
- • End-to-end encrypted
Chat without a trace.
Product | Affected Versions
Anh Tran Slim SEO | Up to 4.5.4
How the Exploit Works
The vulnerability arises due to the improper neutralization of special elements used in an SQL command. An attacker could exploit this weakness by injecting malicious SQL queries into the application. These queries could potentially manipulate the database, leading to unauthorized access, data modification, or data leakage.
Conceptual Example Code
Below is a conceptual example of how the vulnerability might be exploited. This pseudocode represents a malicious SQL injection:
POST /vulnerable/endpoint HTTP/1.1
Host: target.example.com
Content-Type: application/x-www-form-urlencoded
username=admin'--&password=*In this example, the attacker is attempting to log in as the admin by injecting SQL into the username field. The ‘–‘ is an SQL comment which effectively ignores the rest of the query, allowing the attacker to bypass the password check.
Mitigation Guidance
To mitigate this vulnerability, users are advised to apply the vendor patch as soon as it becomes available. As a temporary mitigation, users could also employ a Web Application Firewall (WAF) or an Intrusion Detection System (IDS) to identify and prevent SQL injection attacks.
