Loja Automática Plugin SQL Injection via Unsanitized Parameters

The Loja Automática WordPress plugin through 1.0.0 does not properly sanitize and escape a parameter before using it in a SQL query, allowing unauthenticated users to perform SQL injection attacks.

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

The Loja Automática WordPress plugin through version 1.0.0 contains a critical SQL injection vulnerability (CWE-89) stemming from inadequate input sanitization and output escaping. An unauthenticated attacker can exploit this flaw by injecting malicious SQL code through vulnerable parameters, potentially gaining unauthorized access to sensitive database information, modifying or deleting data, or escalating privileges. This vulnerability affects any WordPress installation running this e-commerce plugin, putting customer data, transaction records, and site integrity at immediate risk. With a CVSS score of 8.6, the threat level is substantial, particularly since WordPress plugins often handle payment and customer information.

Casky's 323 mapped security skills leverage Claude's extended reasoning capabilities to detect the attack patterns associated with this vulnerability across MITRE ATT&CK's Initial Access (TA0001) and Resource Development (TA0043) techniques. Practitioners using Casky would identify suspicious indicators such as abnormal SQL query structures in application logs, HTTP requests containing SQL syntax characters or encoding patterns, and database query anomalies that deviate from legitimate e-commerce operations. The platform's skill set would flag unauthenticated requests attempting parameter manipulation, malformed input sequences, and database error messages leaking schema information—all hallmarks of SQL injection reconnaissance. By correlating these patterns against known attack chains, Casky enables security teams to detect both active exploitation attempts and the reconnaissance activities that precede them, allowing for proactive threat mitigation before successful compromise 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 →

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-2026-89297.

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-2026-89297

Casky has 323 skills that investigate the attack patterns behind CVE-2026-89297. Run one and get CVSS-scored findings in 3 minutes.

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