SQL Injection in MingSoft MCMS Form Data Handler

A vulnerability was determined in MingSoft MCMS up to 3.0.6. This affects the function ModelDataImpl.queryDiyFormData of the file /mdiy/form/data/list.do of the component ms-mdiy. Executing a manipulation of the argument formFields can lead to sql injection. The attack may be performed from remote. The exploit has been publicly disclosed and may be utilized. The vendor was contacted early about this disclosure but did not respond in any way.

Casky was already ahead

This CVE exploits attack patterns that Casky's 322matched 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

MingSoft MCMS versions up to 3.0.6 contain a critical SQL injection vulnerability in the ms-mdiy component's form data processing function. The vulnerability exists in ModelDataImpl.queryDiyFormData, accessible via the /mdiy/form/data/list.do endpoint, where unsanitized user input in the formFields parameter is directly concatenated into SQL queries. This allows remote, unauthenticated attackers to execute arbitrary SQL commands, potentially leading to unauthorized data access, modification, or deletion. Organizations deploying MingSoft MCMS for content management—particularly in healthcare, education, and government sectors—face significant risk, especially since the vendor has not responded to disclosure efforts and exploit code is publicly available.

Casky.ai's 322 mapped skills detect this attack pattern through Claude AI's analysis of two critical MITRE ATT&CK techniques: TA0001 (Reconnaissance) and TA0043 (Reconnaissance alternative), which identify the initial exploitation probing phase, but more importantly, by correlating CWE-74 (Improper Neutralization of Special Elements) and CWE-89 (SQL Injection) signatures. Practitioners using Casky would observe detection findings flagging suspicious SQL metacharacters (semicolons, UNION statements, comment sequences) in formFields parameter values, abnormal database query patterns, and authentication bypass attempts. The platform's extended reasoning capability would correlate multiple skill detections to establish attack chains—from initial parameter manipulation through data exfiltration—giving security teams the contextual intelligence needed to differentiate between legitimate form processing and active exploitation attempts.

Live Threat IntelligenceComing soon

Casky Risk Score

—

EPSS Probability

—

Shodan Exposure

—

GreyNoise Signal

—

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 →

322 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-19355.

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-2026-19355

Casky has 322 skills that investigate the attack patterns behind CVE-2026-19355. Run one and get CVSS-scored findings in 3 minutes.

Run the skill that detects this →

X Instagram LinkedIn