SQL Injection in Supsystic Membership Plugin Search Parameters

Supsystic Membership 1.4.7 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the 'search' and 'sidx' parameters. Attackers can send GET requests to the badges module with crafted payloads to extract sensitive database information using time-based blind or UNION-based SQL injection techniques.

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

Supsystic Membership version 1.4.7 contains a critical SQL injection vulnerability (CWE-89) affecting the badges module's search functionality. Unauthenticated attackers can inject malicious SQL through the 'search' and 'sidx' parameters via GET requests, bypassing authentication entirely. This vulnerability enables attackers to execute arbitrary database queries, extract sensitive information including user credentials and membership data, modify database records, or potentially escalate privileges. Any organization using this WordPress plugin without patches is exposed to data breach risks, with impact severity rated 8.2 (high) due to the combination of unauthenticated access and broad data exposure potential.

Casky's 301 mapped security skills detect this attack pattern by correlating MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance) with SQL injection indicators. Claude's extended reasoning analyzes suspicious query parameters for SQL syntax patterns, boolean-based logic manipulation, time-based delays in responses (blind SQL injection), and UNION-based payload structures. Practitioners using Casky would identify anomalous GET requests to /badges endpoints containing SQL keywords, special characters ('%', '"', 'OR', 'UNION'), and parameter values designed to alter query logic. The platform correlates request patterns with database response times and error messages, flagging reconnaissance activities that precede data exfiltration attempts, enabling defenders to block malicious requests before extraction 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-2020-37244.

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-2020-37244

Casky has 301 skills that investigate the attack patterns behind CVE-2020-37244. Run one and get CVSS-scored findings in 3 minutes.

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