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CVE Vulnerability Database
Vulnerability Database/CVE-2025-6577

CVE-2025-6577: E-Commerce Website SQL Injection Flaw

CVE-2025-6577 is an SQL injection vulnerability in Akilli Commerce E-Commerce Website software that allows attackers to manipulate database queries. This article covers technical details, affected versions, and mitigation.

Published: May 17, 2026

CVE-2025-6577 Overview

CVE-2025-6577 is a SQL injection vulnerability in the Akilli Commerce Software Technologies Ltd. Co. E-Commerce Website platform. The flaw stems from improper neutralization of special elements used in an SQL command [CWE-89]. Attackers can exploit the issue remotely over the network without authentication or user interaction. The vulnerability affects E-Commerce Website versions prior to 4.5.001.

Successful exploitation allows attackers to manipulate database queries, exfiltrate sensitive data, modify records, and potentially compromise the underlying database server. The issue carries a CVSS 3.1 base score of 9.8.

Critical Impact

Unauthenticated remote attackers can inject arbitrary SQL statements, leading to full compromise of the e-commerce database including customer data, credentials, and order information.

Affected Products

  • Akilli Commerce E-Commerce Website versions before 4.5.001
  • Deployments exposed to the public internet
  • Customer-facing storefronts using vulnerable input handlers

Discovery Timeline

  • 2026-05-12 - CVE CVE-2025-6577 published to NVD
  • 2026-05-12 - Last updated in NVD database

Technical Details for CVE-2025-6577

Vulnerability Analysis

The vulnerability resides in the request handling logic of the Akilli Commerce E-Commerce Website application. User-supplied input is concatenated directly into SQL statements without proper parameterization or sanitization. Attackers can submit crafted HTTP parameters that break out of the intended query context.

Because the platform serves customer-facing storefront functionality, vulnerable endpoints are typically reachable without authentication. An attacker can issue UNION-based, boolean-based, or time-based payloads to enumerate the database schema and extract records. Depending on the privileges of the database account used by the application, the attacker may also write files, execute stored procedures, or pivot to operating system command execution.

Root Cause

The root cause is improper neutralization of special elements used in an SQL command [CWE-89]. The application builds SQL queries through string concatenation rather than using prepared statements or parameterized queries. Input validation routines fail to reject or escape SQL metacharacters such as single quotes, semicolons, and comment sequences before passing them to the database driver.

Attack Vector

The attack vector is network-based and requires no privileges or user interaction. An attacker sends a crafted HTTP request to a vulnerable endpoint of the storefront. The injected SQL payload is then executed by the backend database, returning data or performing operations under the application's database user context. The vulnerability mechanism is documented in the Siber Guvenlik Security Advisory.

Detection Methods for CVE-2025-6577

Indicators of Compromise

  • HTTP request logs containing SQL metacharacters such as ', --, UNION SELECT, SLEEP(, or WAITFOR DELAY in query parameters or POST bodies
  • Anomalous database query patterns including large result sets returned to storefront endpoints
  • Unexpected outbound connections from the database server to attacker-controlled infrastructure
  • New or modified administrative accounts in the e-commerce database

Detection Strategies

  • Deploy web application firewall (WAF) rules to identify SQL injection signatures on storefront endpoints
  • Enable database query logging and alert on queries containing union operators, sleep functions, or information_schema references originating from web application accounts
  • Correlate HTTP 500 response spikes with parameter values containing encoded SQL characters

Monitoring Recommendations

  • Monitor authentication, search, and product listing endpoints for parameter tampering attempts
  • Track database account behavior for query volume spikes or unusual table access patterns
  • Review e-commerce administrative logs daily for unauthorized data exports or schema changes

How to Mitigate CVE-2025-6577

Immediate Actions Required

  • Upgrade the Akilli Commerce E-Commerce Website platform to version 4.5.001 or later
  • Audit web server and database logs for indicators of prior exploitation
  • Rotate database credentials and session tokens after patching
  • Restrict database account privileges to the minimum required for application operation

Patch Information

The vendor has released a fixed release in version 4.5.001. Refer to the Siber Guvenlik Security Advisory for advisory details and remediation guidance.

Workarounds

  • Deploy WAF rules to block SQL injection payload patterns targeting storefront endpoints until patching is complete
  • Place the affected application behind an authenticating reverse proxy where feasible
  • Apply strict input validation at the perimeter to reject SQL metacharacters in unexpected parameters

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechAkilli Commerce

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.03%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-89
  • Technical References
  • Siber Guvenlik Security Advisory
  • Related CVEs
  • CVE-2025-11024: E-Commerce Website SQL Injection Flaw

  • CVE-2026-2347: E-Commerce Website Auth Bypass Vulnerability
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