Hard-coded Credentials in ERP Application Enable Unauthorized Access

ERP App developed by PROG MIS has a Use of Hard-coded Credentials vulnerability, allowing unauthenticated remote attackers to log in to view application code and obtain the database account and password.

Casky was already ahead

This CVE exploits attack patterns that Casky's 233matched 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 in PROG MIS's ERP application stems from hard-coded credentials embedded directly in the application code (CWE-798). Unauthenticated attackers can exploit this flaw to gain remote login access, bypass authentication entirely, and extract sensitive assets including application source code and database credentials. This represents a critical supply chain risk affecting organizations that depend on this ERP system for business operations, financial data management, and customer information. The CVSS score of 9.8 reflects the severity: attackers require no authentication, no user interaction, and gain complete system compromise with network-level access.

Casky.ai's 233 mapped skills leverage Claude's extended reasoning to detect the attack patterns associated with TA0006 (Credential Access) techniques behind this CVE. Practitioners using Casky would identify findings related to credential discovery mechanisms—detecting when attackers attempt default or hard-coded login patterns, analyze source code repositories for embedded secrets, and monitor authentication logs for anomalous access using generic credentials. The platform's skills would surface indicators such as successful authentication from unexpected sources, immediate post-login activities querying source code repositories or database credential stores, and lateral movement patterns consistent with attackers who've obtained database passwords. By mapping these behavioral patterns to MITRE ATT&CK techniques, security teams can prioritize remediation efforts and hunt for evidence of exploitation in their PROG MIS ERP deployments.

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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 →

233 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-14807.

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

Access with Stolen Session Cookie

cryptography · low

Run

MITRE ATT&CK Techniques

TA0006

Investigate the attack patterns behind CVE-2026-14807

Casky has 233 skills that investigate the attack patterns behind CVE-2026-14807. Run one and get CVSS-scored findings in 3 minutes.

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