Blind SQL Injection in Akilli Commerce E-Commerce Platform

Improper neutralization of special elements used in an SQL command ('SQL injection') vulnerability in Akilli Commerce Software Technologies Ltd. Co. E-Commerce Website allows Blind SQL Injection. This issue affects E-Commerce Website: before 4.5.001.

Casky was already ahead

This CVE exploits attack patterns that Casky's 301matched 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

Blind SQL Injection vulnerabilities in e-commerce platforms represent a critical threat because they allow attackers to extract sensitive data without displaying error messages, making detection difficult during exploitation. CVE-2025-11024 affects Akilli Commerce E-Commerce Website versions before 4.5.001 and enables adversaries to manipulate SQL queries through improper input sanitization. Organizations running vulnerable versions face risks to customer data, payment information, and backend database integrity. The CVSS score of 9.8 reflects the ease of exploitation and the potential for complete system compromise, particularly concerning for platforms handling financial transactions and personally identifiable information.

Casky's 301 mapped security skills leverage Claude AI's extended reasoning to detect the attack patterns behind this vulnerability by analyzing behaviors aligned with TA0001 (Reconnaissance) and TA0043 (Reconnaissance—specifically active scanning for vulnerabilities). Practitioners using Casky would identify suspicious SQL query structures, time-based response anomalies, and data exfiltration patterns that indicate blind SQL injection attempts. The platform's skills enable detection of obfuscated payloads, conditional database queries, and character-by-character data extraction techniques that blind injection relies upon. Teams would see findings highlighting input validation failures, unparameterized query construction, and unusual database timing delays—allowing them to pinpoint vulnerable code paths in e-commerce applications and implement proper prepared statements before exploitation occurs.

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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 →

301 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2025-11024.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

Run

analyzing-campaign-attribution-evidence

threat intelligence · low

Run

analyzing-certificate-transparency-for-phishing

threat intelligence · low

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2025-11024

Casky has 301 skills that investigate the attack patterns behind CVE-2025-11024. Run one and get CVSS-scored findings in 3 minutes.

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