SQL Injection in BBS e-Franchise WordPress Plugin

BBS e-Franchise 1.1.1 plugin for WordPress contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the uid parameter. Attackers can craft requests to pages using the plugin's shortcode with UNION-based SQL injection in the uid parameter to extract sensitive data from the WordPress database including user information and taxonomy terms.

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

BBS e-Franchise 1.1.1, a WordPress plugin, contains a critical SQL injection vulnerability (CWE-89) in its shortcode implementation that allows unauthenticated attackers to execute arbitrary SQL queries. The vulnerability exists in the uid parameter, which lacks proper input validation and parameterized query protections. Attackers can exploit this through UNION-based SQL injection to extract sensitive data from the WordPress database, including user credentials, email addresses, and taxonomy information. This vulnerability affects any WordPress installation using the vulnerable plugin version, posing significant risk to website operators and their users since no authentication is required for exploitation.

Casky's 301 matched security skills help practitioners identify this attack pattern by correlating two critical MITRE ATT&CK techniques: Resource Development (TA0001) and Reconnaissance (TA0043). When Claude AI with extended reasoning analyzes traffic and logs, practitioners would observe: malicious requests containing SQL metacharacters (UNION, SELECT, WHERE) in the uid parameter; unusual database query patterns attempting to extract system tables like wp_users; and reconnaissance activity probing for database structure information. The platform's skills enable detection of the injection payload construction phase and the actual exploitation queries, allowing security teams to identify both active attacks and reconnaissance attempts against their WordPress installations before data exfiltration occurs.

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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-2016-20072.

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-2016-20072

Casky has 301 skills that investigate the attack patterns behind CVE-2016-20072. Run one and get CVSS-scored findings in 3 minutes.

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