CVE-2025-11024 Overview
CVE-2025-11024 is a blind 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]. Unauthenticated attackers can inject arbitrary SQL statements through vulnerable input parameters over the network. The issue affects all versions of E-Commerce Website prior to 4.5.001. Because the injection is blind, attackers infer query results from application behavior rather than direct output. Successful exploitation compromises confidentiality, integrity, and availability of the underlying database.
Critical Impact
Unauthenticated network attackers can execute arbitrary SQL queries against the backend database, leading to full data exfiltration, modification, or destruction.
Affected Products
- Akilli Commerce E-Commerce Website versions before 4.5.001
Discovery Timeline
- 2026-05-14 - CVE-2025-11024 published to NVD
- 2026-05-14 - Last updated in NVD database
Technical Details for CVE-2025-11024
Vulnerability Analysis
The vulnerability is a blind SQL injection in the Akilli Commerce E-Commerce Website application. The application accepts user-supplied input and concatenates it into SQL statements without proper sanitization or parameterization. Attackers exploit this weakness remotely without authentication or user interaction. Because the injection is blind, the application does not return query results directly in the response. Instead, attackers leverage boolean-based or time-based inference techniques to extract data character by character.
The vulnerability impacts all three security properties of the affected database. Attackers can read sensitive customer data, modify order or pricing records, and disrupt operations by destroying tables. The e-commerce nature of the application implies stored payment data, personally identifiable information (PII), and credentials may reside in the database.
Root Cause
The root cause is the application's failure to neutralize SQL metacharacters in user-controlled input before passing the input to the database query interpreter. Developers concatenated input directly into query strings instead of using parameterized statements or prepared queries. This pattern matches the CWE-89 weakness class.
Attack Vector
An unauthenticated remote attacker sends crafted HTTP requests containing SQL payloads to vulnerable endpoints of the E-Commerce Website. The attacker observes differential responses, including HTTP status codes, response timing, or content variations, to infer query results. Automated tooling such as sqlmap can fully automate extraction of database contents through this blind channel.
No verified proof-of-concept code is published. Refer to the Siber Güvenlik Notification TR-26-0222 for additional technical context.
Detection Methods for CVE-2025-11024
Indicators of Compromise
- HTTP request parameters containing SQL syntax such as UNION SELECT, SLEEP(, BENCHMARK(, OR 1=1, or encoded variants targeting Akilli Commerce endpoints.
- Unusual outbound database queries originating from web application processes, particularly queries against information_schema or system tables.
- Spike in HTTP requests with response time anomalies indicative of time-based blind injection probing.
Detection Strategies
- Deploy web application firewall (WAF) rules tuned to detect SQL injection signatures and anomalous parameter content on requests reaching the storefront.
- Enable database query auditing and alert on queries referencing schema metadata tables from the web application service account.
- Correlate web access logs with database logs to identify single-source clients generating large volumes of parameterized requests with low result variance.
Monitoring Recommendations
- Monitor for repeated 500-series errors or response-time outliers on product search, filter, and category endpoints.
- Track authentication and session anomalies that may indicate post-exploitation credential abuse following database compromise.
- Review database user privileges and alert on data export operations outside normal business hours.
How to Mitigate CVE-2025-11024
Immediate Actions Required
- Upgrade Akilli Commerce E-Commerce Website to version 4.5.001 or later as the primary remediation.
- Audit web access logs for the past 90 days for SQL injection probing patterns against the affected platform.
- Rotate database credentials, API keys, and administrative passwords if compromise is suspected.
Patch Information
The vendor addressed the vulnerability in E-Commerce Website version 4.5.001. Administrators should consult the Siber Güvenlik Notification TR-26-0222 for vendor coordination and upgrade guidance.
Workarounds
- Place the application behind a WAF with SQL injection rule sets enabled in blocking mode until the patch is applied.
- Restrict the database account used by the web application to least-privilege permissions, removing rights to system tables and write access where not required.
- Implement strict input validation at the application gateway to reject parameters containing SQL metacharacters on non-search endpoints.
# Example WAF rule snippet (ModSecurity) to block common blind SQLi payloads
SecRule ARGS "@rx (?i)(union(\s|/\*.*\*/)+select|sleep\s*\(|benchmark\s*\(|or\s+1=1)" \
"id:1011024,phase:2,deny,status:403,msg:'Blocked SQLi pattern - CVE-2025-11024'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
