Llavero.io Plugin SQL Injection via Unsanitized Parameters

The Llavero.io WordPress plugin through 0.1.4 does not properly sanitise and escape a parameter before using it in a SQL statement, which allows unauthenticated attackers to perform SQL injection attacks and read data from the database.

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

This vulnerability represents a classic SQL injection flaw (CWE-89) in the Llavero.io WordPress plugin affecting versions through 0.1.4. An unauthenticated attacker can manipulate unsanitized user input to inject arbitrary SQL commands, potentially exfiltrating sensitive database contents including user credentials, configuration data, and other sensitive information. This vulnerability is particularly dangerous because WordPress sites hosting this plugin require no authentication to exploit it, making it accessible to any threat actor capable of crafting malicious requests. Organizations running WordPress installations with this plugin face immediate risk of data exposure and potential lateral movement opportunities if database credentials or user information are compromised.

Casky's 323 mapped skills detect this vulnerability pattern by analyzing both the reconnaissance and exploitation phases mapped to MITRE ATT&CK. Under TA0001 (Initial Access), the skills identify suspicious SQL syntax patterns embedded in HTTP parameters characteristic of injection attacks. Under TA0043 (Reconnaissance), practitioners using Casky would observe probing behaviors—attackers testing parameter boundaries and database responses to map table structures. The extended reasoning capabilities analyze query execution logs for telltale signs: unusual SQL operators in user input, UNION-based injections, time-based blind SQL injection delays, and error-based responses that leak schema information. Practitioners reviewing their Casky findings would see specific parameter names flagged, payload signatures matched, and correlated attack chains showing how initial reconnaissance queries precede data extraction attempts.

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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-2026-89213.

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-2026-89213

Casky has 323 skills that investigate the attack patterns behind CVE-2026-89213. Run one and get CVSS-scored findings in 3 minutes.

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