Akilli Commerce E-Commerce Website CVE-2025-6577

Remote exploitation against default configurations of Akilli Commerce E-Commerce Website versions prior to 4.5.001 requires no authentication, no special privileges, and no user interaction (CVSS PR:N/UI:N). The vulnerability exists in the core application's SQL query handling, not in optional features or non-default settings. Attackers need only network access to publicly accessible web application endpoints-any customer-facing functionality that accepts user input and interacts with the database is potentially exploitable. The low attack complexity (AC:L) indicates no special timing, race conditions, or prerequisite exploitation steps are required. Exploitation is limited only by network reachability to the e-commerce platform and basic SQL injection knowledge.

The CVSS 3.1 vector (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H) indicates critical risk with network-based exploitation requiring low complexity, no privileges, and no user interaction-representing the most dangerous attack profile. The vulnerability allows complete compromise of confidentiality, integrity, and availability within the database scope. However, real-world risk assessment reveals important caveats: (1) No CISA KEV listing suggests no confirmed widespread exploitation campaigns, (2) EPSS probability data is unavailable for this recent CVE, (3) The affected product appears to be a regional Turkish e-commerce platform with limited global deployment, (4) TR-CERT disclosure indicates responsible disclosure process was followed. This is a genuine critical vulnerability for organizations running affected versions, but the limited vendor footprint and absence of KEV listing suggests targeted rather than mass exploitation is the likely threat model. Organizations using this platform should treat remediation as urgent priority; others face no direct exposure.

An attacker identifies the Akilli Commerce platform through fingerprinting techniques and targets a vulnerable endpoint such as the product search or category filter. They inject SQL payload characters (e.g., single quotes, UNION operators) into input fields to test for unfiltered database interaction. Upon confirming SQL injection, the attacker escalates to extracting the complete customer database including names, addresses, payment information, and password hashes using UNION-based injection or time-based blind techniques. With database access established, they could modify product prices to facilitate fraudulent purchases, inject administrative accounts, or dump transaction records for financial fraud.