SQL Injection in Movable Type Site Search Function

An SQL Injection vulnerability exists in the Site Search function of Movable Type, which may allow an unauthenticated attacker to execute an arbitrary SQL query on the affected product.

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 is a classic SQL Injection flaw (CWE-89) in Movable Type's Site Search functionality that allows unauthenticated attackers to execute arbitrary SQL queries against the underlying database. With a CVSS score of 8.6, this represents a high-severity risk because it requires no authentication, potentially exposing sensitive data, enabling data manipulation, or facilitating lateral movement within affected systems. Organizations running Movable Type as their content management platform are at immediate risk, particularly those exposed to internet-facing search functionality without additional input validation controls.

Casky's 323 matching skills leverage Claude AI's extended reasoning to correlate attack patterns across two critical MITRE ATT&CK techniques: TA0001 (Reconnaissance) and TA0043 (Reconnaissance - specifically information gathering about database structures). Practitioners using Casky would observe detection signatures that identify malformed search queries containing SQL metacharacters and UNION-based injection attempts, along with behavioral patterns showing database error responses or time-based query delays. The platform's skill mapping would surface how attackers probe the search parameter boundary conditions, escalating from reconnaissance activities into actual exploitation—enabling security teams to distinguish between benign search activity and adversary reconnaissance probing the injectable vector before committing to full exploitation.

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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-2026-103668.

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-2026-103668

Casky has 323 skills that investigate the attack patterns behind CVE-2026-103668. Run one and get CVSS-scored findings in 3 minutes.

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