CVE-2018-25411 M-Gb CVE debrief

Who should care

Organizations running MGB OpenSource Guestbook 0.7.0.2, particularly those exposing the application to the public internet. Security teams responsible for web application security, database administrators managing backend systems for guestbook deployments, and developers maintaining legacy PHP guestbook applications should prioritize assessment and remediation.

Technical summary

The vulnerability exists in MGB OpenSource Guestbook version 0.7.0.2, specifically in the email.php file. The 'id' parameter accepts user-supplied input without adequate sanitization or parameterization, enabling direct injection of SQL syntax into backend database queries. Attackers can construct malicious GET requests to enumerate database structure including table and column names. The attack requires no authentication and can be executed remotely over the network.

Defensive priority

HIGH

Recommended defensive actions

• Apply input validation and parameterized queries to the 'id' parameter in email.php
• Implement prepared statements for all database interactions in the guestbook application
• Restrict database account privileges to least-privilege principles
• Monitor web access logs for suspicious GET requests to email.php containing SQL keywords or encoding patterns
• Consider web application firewall rules to detect and block SQL injection payloads in the 'id' parameter
• Review and patch any other endpoints that may share similar input handling patterns
• If patching is not immediately available, consider restricting access to email.php or the guestbook application until remediation is complete

Evidence notes

The vulnerability is classified as CWE-89 (SQL Injection). The CVSS 4.0 vector indicates network attack vector (AV:N), low attack complexity (AC:L), no required privileges (PR:N), and high confidentiality impact (VC:H). Source references include the vendor website, SourceForge download page, Exploit-DB entry 45665, and a VulnCheck advisory.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.