Unauthenticated SQL Injection in WordPress Booking Plugin

WordPress Car Park Booking Plugin version 13 October 17 contains a time-based SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the space_id parameter. Attackers can send GET requests to the booking-page endpoint with malicious space_id values using AND SLEEP() payloads to extract sensitive database information.

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

This vulnerability is a time-based SQL injection flaw in the WordPress Car Park Booking Plugin (version 13, October 17) that allows unauthenticated attackers to manipulate database queries through the space_id parameter. The vulnerability matters because it requires no authentication, making it accessible to any internet user, and enables attackers to extract sensitive database information such as user credentials, payment data, and booking details. WordPress plugin vulnerabilities affect thousands of websites globally, and booking systems often store personal information and payment records, making this a high-impact threat (CVSS 8.2) for e-commerce and service-based websites.

Casky's 301 mapped skills leverage Claude AI with extended reasoning to detect the attack patterns associated with TA0001 (Reconnaissance) and TA0043 (Reconnaissance) techniques. Practitioners using Casky would identify suspicious GET requests to the booking-page endpoint containing time-delay payloads like "space_id=1 AND SLEEP(5)" in their security logs and HTTP request patterns. The platform's skills help practitioners recognize the characteristic signatures of SQL injection testing—sequential requests with incrementing SLEEP() values, unusual parameter encoding, and response time anomalies—allowing security teams to detect reconnaissance activities before data exfiltration occurs. By mapping these behavioral patterns to CWE-89 (SQL Injection), Casky enables practitioners to correlate web traffic analysis with database query logs and identify injection attempts in real-time.

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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-2017-20243.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

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analyzing-campaign-attribution-evidence

threat intelligence · low

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analyzing-certificate-transparency-for-phishing

threat intelligence · low

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2017-20243

Casky has 301 skills that investigate the attack patterns behind CVE-2017-20243. Run one and get CVSS-scored findings in 3 minutes.

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