SQL Injection in MetaGuru HCM Authentication Layer

The HCM developed by MetaGuru has a SQL Injection vulnerability. Authenticated remote attackers can inject SQL commands via specific parameters, thereby compromising the confidentiality, integrity, and availability of database data.

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

SQL Injection remains one of the most critical database attack vectors, and this vulnerability in MetaGuru's Human Capital Management system exemplifies why authenticated access alone is insufficient protection. CVE-2026-15804 allows authenticated remote attackers to manipulate SQL queries through specific input parameters, directly compromising the confidentiality, integrity, and availability of sensitive employee and organizational data. HCM systems typically store highly sensitive information including payroll records, personal identification data, and employment history, making this a particularly dangerous vulnerability for any organization using this platform. The CVSS score of 8.8 reflects the severity: attackers with legitimate credentials can escalate privileges, exfiltrate records, modify compensation data, or disable critical HR functions.

Casky's 322 matching skills leverage Claude's extended reasoning to detect the attack patterns behind SQL Injection exploitation by mapping to two critical MITRE ATT&CK tactics: Initial Access (TA0001) and Persistence (TA0043). Practitioners using Casky would identify suspicious SQL command sequences in application logs, unusual parameter encoding patterns, and database query anomalies that signal injection attempts. The platform's skills help detect telltale indicators such as SQL metacharacters in user inputs, time-delay based blind injection probes, and out-of-band data exfiltration attempts. By analyzing authentication logs alongside database activity, Casky enables security teams to distinguish legitimate authenticated sessions from compromised ones attempting malicious queries—providing the granular visibility needed to detect and contain this threat before attackers can systematically extract or corrupt critical HR data.

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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-2026-15804.

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-2026-15804

Casky has 322 skills that investigate the attack patterns behind CVE-2026-15804. Run one and get CVSS-scored findings in 3 minutes.

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