Unauthenticated SQL Injection in Epayco Payment Platform

Unauthenticated SQL Injection in Epayco <= 8.4.6 versions.

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

CVE-2026-78260 represents a critical unauthenticated SQL injection vulnerability affecting Epayco payment processing systems through version 8.4.6. This vulnerability allows attackers to bypass authentication entirely and execute arbitrary SQL commands against the underlying database, potentially exposing sensitive payment data, customer information, and transaction records. Organizations using vulnerable Epayco versions for payment processing face immediate risk of data breaches, financial fraud, and compliance violations (PCI-DSS, GDPR). The criticality is amplified by the public nature of payment platforms, which are frequent reconnaissance targets for threat actors seeking financial data or lateral movement opportunities into enterprise networks.

Casky's 323 mapped security skills leverage Claude's extended reasoning to detect the attack patterns behind this vulnerability across MITRE ATT&CK's Reconnaissance (TA0001) and Resource Development (TA0043) phases. When practitioners query Casky, they would see detection logic identifying: (1) unauthenticated endpoint probing patterns that precede SQL injection attempts, (2) suspicious SQL metacharacter sequences in HTTP request parameters, (3) time-based blind SQL injection indicators through response timing analysis, and (4) database error message disclosure that reveals backend schema structure. Practitioners would receive findings organized by attack phase—showing how reconnaissance queries map to initial exploitation attempts—enabling them to distinguish between benign testing and active compromise attempts, prioritize patches for exposed instances, and implement compensating controls like Web Application Firewalls configured to block SQL injection payloads.

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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-2026-78260.

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-2026-78260

Casky has 323 skills that investigate the attack patterns behind CVE-2026-78260. Run one and get CVSS-scored findings in 3 minutes.

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