SQL Injection in ASPL Product Quotation WordPress Plugin

The ASPL Product Quotation WordPress plugin through 1.1.0 does not sanitize and escape a parameter before using it in SQL statements, allowing unauthenticated attackers to perform SQL injection and read arbitrary 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

The ASPL Product Quotation WordPress plugin through version 1.1.0 contains a critical SQL injection vulnerability (CWE-89) that allows unauthenticated attackers to bypass input validation and directly manipulate database queries. This vulnerability is particularly dangerous because it requires no authentication, meaning any threat actor can exploit it remotely to extract sensitive data from WordPress installations using this plugin. Website administrators and e-commerce platforms relying on this plugin for quotation management are at immediate risk of data breaches, potentially exposing customer information, pricing data, and other confidential database contents.

Casky.ai's 323 mapped skills leverage Claude AI's extended reasoning to detect the attack patterns behind this vulnerability across MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners using Casky would identify suspicious SQL patterns in web logs and database query logs—including unusual syntax like UNION SELECT statements, time-based delays (SLEEP/BENCHMARK functions), or comment sequences (--,#,/**/). When security teams run analysis against their environment, they would see findings highlighting unauthenticated HTTP requests with malformed parameters, database connection anomalies, and unexpected data exfiltration attempts. The platform's skill-based detection would correlate these indicators with known SQL injection payloads, enabling teams to pinpoint compromised plugin instances before attackers access customer records or sensitive business data stored in WordPress databases.

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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-2026-89287.

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-2026-89287

Casky has 323 skills that investigate the attack patterns behind CVE-2026-89287. Run one and get CVSS-scored findings in 3 minutes.

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