Blind SQL Injection in mooSocial Store Plugin URL Rewriting

mooSocial Store Plugin 2.6 contains a blind SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries through the product parameter in URL rewrite functionality. Attackers can inject SQL code using boolean-based blind, time-based blind, or stacked query techniques in the product URI parameter 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

mooSocial Store Plugin version 2.6 contains a critical blind SQL injection vulnerability in its URL rewrite functionality that allows unauthenticated attackers to manipulate database queries through the product parameter. This vulnerability is particularly dangerous because it requires no authentication—any attacker can craft malicious requests to extract sensitive information from the underlying database. Organizations using mooSocial for community platforms, social commerce, or marketplace features are at immediate risk, as attackers can leverage boolean-based blind, time-based blind, or stacked query techniques to systematically exfiltrate user data, credentials, and business intelligence without detection.

Casky's 301 mapped security skills detect this attack pattern by correlating MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance) with CWE-89 SQL injection signatures. When Claude AI analyzes request patterns, practitioners will see findings identifying reconnaissance activity through time-delay responses in database queries, suspicious parameter manipulation attempts on URL rewrite endpoints, and anomalous database response timing that indicates information exfiltration. The platform's extended reasoning capabilities enable detection of blind injection attempts where attackers don't receive direct error messages, instead using response timing and boolean response variations to infer database structure—allowing security teams to identify exploitation attempts before data breaches occur.

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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-2018-25371.

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-2018-25371

Casky has 301 skills that investigate the attack patterns behind CVE-2018-25371. Run one and get CVSS-scored findings in 3 minutes.

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