SQL Injection in MGB OpenSource Guestbook Email Parameter

MGB OpenSource Guestbook 0.7.0.2 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the 'id' parameter. Attackers can send GET requests to email.php with crafted SQL payloads in the 'id' parameter to extract sensitive database information including table and column names.

Casky was already ahead

This CVE exploits attack patterns that Casky's 301matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

MGB OpenSource Guestbook 0.7.0.2 contains a critical SQL injection vulnerability (CWE-89) in the email.php file where the 'id' parameter fails to sanitize user input before constructing SQL queries. This allows unauthenticated attackers to inject arbitrary SQL commands through simple GET requests, bypassing authentication entirely. The vulnerability is particularly dangerous because it enables direct database enumeration—attackers can extract table names, column structures, and sensitive data without requiring any credentials. Any organization running this guestbook software, regardless of industry, faces immediate risk of data breach and unauthorized access to backend database systems.

Casky's 301 mapped skills leverage Claude AI's extended reasoning to detect the adversarial patterns behind this vulnerability across two critical MITRE ATT&CK phases: TA0001 (Reconnaissance) and TA0043 (Exfiltration). Practitioners using Casky would observe detection patterns identifying reconnaissance activities when attackers probe the 'id' parameter with SQL syntax variations (UNION SELECT, information_schema queries), and subsequent exfiltration techniques as sensitive data flows out of the database. The platform's skill coverage maps input validation weaknesses, parameter tampering detection, and anomalous SQL query patterns—enabling security teams to identify both active exploitation attempts and misconfigured endpoints vulnerable to this attack vector before attackers can establish database access.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

301 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2018-25411.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

Run

analyzing-campaign-attribution-evidence

threat intelligence · low

Run

analyzing-certificate-transparency-for-phishing

threat intelligence · low

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2018-25411

Casky has 301 skills that investigate the attack patterns behind CVE-2018-25411. Run one and get CVSS-scored findings in 3 minutes.

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