Unauthenticated SQL Injection in WordPress Payment Plugin

The jet-form-builder-stripe-gateway WordPress plugin before 1.1.0 does not sanitise and escape a payment token before using it in a SQL statement, allowing unauthenticated users to extract arbitrary data from the database, including password hashes.

Casky was already ahead

This CVE exploits attack patterns that Casky's 323matched 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

CVE-2022-4997 is a critical SQL injection vulnerability in the jet-form-builder-stripe-gateway WordPress plugin that allows unauthenticated attackers to extract sensitive data directly from the database. The vulnerability stems from insufficient input sanitization and output escaping of payment tokens before they're used in SQL queries. This affects any WordPress installation using the vulnerable plugin version, potentially exposing user credentials, password hashes, personal information, and other sensitive database contents to unauthorized access. The high CVSS score of 8.6 reflects both the ease of exploitation (no authentication required) and the severity of the potential impact.

Casky's 323 mapped skills leverage Claude AI's extended reasoning to detect the attack patterns associated with this vulnerability across two critical MITRE ATT&CK techniques: Initial Access (TA0001) and Reconnaissance (TA0043). Practitioners using Casky would identify detection patterns including: anomalous SQL query structures containing payment token parameters, unexpected database queries originating from web requests lacking authentication headers, database access attempts targeting user credential tables, and patterns consistent with data exfiltration. The platform's skills help teams recognize the reconnaissance phase where attackers probe for the vulnerable plugin, followed by direct exploitation attempts. Security findings would highlight suspicious POST requests to form submission endpoints with malformed payment tokens and corresponding database errors or successful queries—signatures that Claude's reasoning engine correlates with active SQL injection exploitation rather than legitimate payment processing.

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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 →

323 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2022-4997.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

Run

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2022-4997

Casky has 323 skills that investigate the attack patterns behind CVE-2022-4997. Run one and get CVSS-scored findings in 3 minutes.

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