Overview
This report discusses the vulnerability identified as CVE-2025-54043, which relates to an improper neutralization of special elements used in an SQL command, commonly known as SQL Injection. This vulnerability affects users of YayCommerce SMTP for Amazon SES, and carries significant implications due to the potential for system compromise or data leakage.
Vulnerability Summary
CVE ID: CVE-2025-54043
Severity: High – CVSS 7.6
Attack Vector: Network
Privileges Required: Low
User Interaction: None
Impact: System compromise and potential data leakage
Affected Products
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Product | Affected Versions
YayCommerce SMTP for Amazon SES | n/a through 1.9
How the Exploit Works
The vulnerability stems from the application’s failure to properly sanitize user-supplied inputs before using them in SQL queries. An attacker can exploit this by injecting malicious SQL code into the application, manipulating the SQL query to execute unintended commands. This can lead to unauthorized access, data manipulation, or even data loss.
Conceptual Example Code
Consider this
conceptual
example demonstrating how the vulnerability might be exploited. In this case, an attacker may craft a malicious SQL statement and embed it within a seemingly harmless user input:
POST /smtp/settings HTTP/1.1
Host: target.example.com
Content-Type: application/json
{ "smtp_server": "smtp.amazon.com", "smtp_port": "587", "smtp_username": "admin'; DROP TABLE users; --" }In the example above, the attacker has injected a malicious SQL command (`DROP TABLE users;`) into the `smtp_username` parameter. If the application fails to sanitize this input before using it in an SQL query, the command could be executed, leading to the deletion of the ‘users’ table from the system’s database.
Mitigation Guidance
To mitigate this vulnerability, it is advised to promptly apply the vendor-supplied patch. As a temporary measure, a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can be used to detect and prevent SQL Injection attacks. Additionally, it is recommended to always sanitize user inputs and use parameterized queries or prepared statements to reduce the risk of SQL Injection.
