Unauthenticated SQL Injection in Prog Management System

Prog Management System developed by PROG MIS has a SQL Injection vulnerability, allowing unauthenticated remote attackers to inject arbitrary SQL commands to read database contents.

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

Prog Management System contains a critical SQL injection vulnerability (CWE-89) that allows unauthenticated remote attackers to inject arbitrary SQL commands directly into the application's database queries. This vulnerability is particularly dangerous because it requires no prior authentication, meaning any actor with network access can exploit it to read sensitive database contents. Organizations using this system for project and resource management face immediate risk of data exfiltration, including potentially confidential project data, employee information, and business intelligence. The CVSS 7.5 high severity rating reflects the combination of network accessibility, lack of authentication requirements, and the ability to extract sensitive information.

Casky's 322 matched security skills leverage Claude's extended reasoning to map exploitation patterns to MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners using Casky would observe skill findings that correlate SQL injection payloads with reconnaissance activities—detecting when attackers probe input fields for SQL syntax errors—and initial access attempts where malicious SQL commands are injected to bypass authentication or enumerate database schemas. The platform's Claude-powered analysis would specifically flag unusual SQL command structures in network traffic, database query logs showing UNION-based injection patterns, and time-based blind SQL injection indicators. Security teams would see detailed correlations between suspicious HTTP requests containing SQL metacharacters and the reconnaissance phase of attack chains, enabling them to distinguish probing activity from successful exploitation 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 →

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-2026-14809.

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

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