CVE-2025-11024: Akilli Commerce SQL Injection

How to Detect It

Detection should combine web access logs, application logs, database audit records, and version inventory. Look for repeated requests to the same commerce endpoint with unusual punctuation, encoded quotes, SQL comment sequences, Boolean expressions, or unexpectedly long response times. A single matched string is not proof of exploitation. Repeated probing from one source or coordinated activity across multiple parameters warrants investigation.

The vulnerable endpoint and parameter were not disclosed in the available record, so defenders should avoid relying on a narrow URL signature. Compare requests with response status, response size, latency, database errors, and authenticated session information. Preserve relevant request bodies where lawful and safe, while redacting credentials, payment data, and other sensitive content.

For broader incident investigation, teams handling Linux-based servers can also review this Linux digital forensics guide when collecting host, web-server, and database evidence.

Technical Notes

A generic Splunk query for initial web-log triage can identify common SQL injection indicators. Field names must be adapted to the organization’s log schema:

index=web
| search uri_query="*%27*" OR uri_query="*%22*"
    OR uri_query="*union*" OR uri_query="*select*"
    OR uri_query="*sleep(*" OR uri_query="*benchmark(*"
    OR uri_query="*--*" OR uri_query="*%23*"
| stats count min(_time) as first_seen max(_time) as last_seen
    values(uri_path) as paths values(src_ip) as sources
    by http_user_agent
| where count >= 3

For SQL Server environments, a generic database audit search can identify application sessions generating errors associated with malformed queries. The exact event source varies by deployment:

SELECT event_time, server_principal_name, database_name,
       statement, client_ip
FROM security_database_audit
WHERE event_time >= DATEADD(hour, -24, SYSUTCDATETIME())
  AND (
       statement LIKE '%--%'
    OR statement LIKE '%'' OR %'
    OR statement LIKE '%UNION%SELECT%'
    OR statement LIKE '%WAITFOR DELAY%'
  );

These queries are triage examples, not vendor-specific signatures. URL encoding, alternate syntax, and application logging limitations can produce false negatives. Correlate alerts with the product version and inspect database access for unexpected reads, writes, schema queries, or access from unusual source addresses.

Mitigation and Patching

Upgrade every affected installation to Akilli Commerce E-Commerce Website version 4.5.001 or later. The available record identifies this as the fixed version boundary, but it does not provide a vendor-specific installer command or migration procedure. Obtain the release package and integrity information from Akilli Commerce or the organization’s authorized deployment channel, test the upgrade, back up the application and database, and verify the running version after deployment.

Do not expose an affected internet-facing instance while waiting for a maintenance window if it can be taken offline or access-restricted safely. If immediate upgrade is impossible, place the application behind an access-control layer, restrict database permissions, limit administrative access, and use a WAF or reverse proxy to reduce obvious injection attempts. These measures are compensating controls and do not remove the underlying vulnerability.

Technical Notes

The following SQL example illustrates the type of least-privilege review that should be performed. Replace the placeholder names and syntax with the database engine’s supported commands, and validate application behavior before removing privileges:

-- Review first; do not execute unchanged in production.
SELECT grantee, privilege, object_name
FROM application_database_privileges
WHERE grantee = 'commerce_app';

-- Example defensive reduction after testing:
REVOKE CREATE, ALTER, DROP ON DATABASE commerce_db
FROM commerce_app;

The exact database account and privilege model for this product were not provided, so the command above is a control pattern rather than a confirmed Akilli Commerce procedure. The application account should not have database-owner, system-administrator, schema-management, or unrestricted cross-database privileges unless the application explicitly requires them.

For version verification, use the product’s documented administration or deployment method. A generic administrative check can be recorded as:

# Replace with the vendor-supported binary or package query.
<akilli-commerce-command> --version

No official command was identified in the available sources, so administrators should not substitute an invented package name or upgrade syntax. The required remediation target remains 4.5.001 or later. After upgrading, verify the version in the application interface or vendor-supported inventory method, test core commerce functions, and confirm that the vulnerable installation is no longer serving the old application files.

If an affected system was internet-accessible, review web and database logs before patching and consider credential rotation, session invalidation, and incident response. Organizations investigating possible credential theft should also review guidance on how attackers buy stolen credentials. Focus the investigation on unusual database reads, authentication anomalies, unexpected administrative actions, and data access from unfamiliar addresses.

Where credential rotation is required, use an organization-approved password manager and enforce unique credentials for administrators, service accounts, and database users. A commercial password-management service such as Try 1Password → may be suitable for some teams, subject to internal security and procurement requirements.

References

The primary vulnerability record is the NVD entry for CVE-2025-11024:

• NVD: CVE-2025-11024

The NVD record references an advisory from Türkiye’s Cyber Security Presidency. The retrieved page did not expose additional readable technical details beyond the reference:

• Türkiye Cyber Security Presidency advisory

CISA’s Known Exploited Vulnerabilities catalog can be used to check whether the vulnerability has later been added to the agency’s exploited-vulnerability list:

• CISA Known Exploited Vulnerabilities Catalog

The available research did not identify a vendor change log, public proof of concept, confirmed exploitation report, CVSS vector, or vendor-specific upgrade command. Resolve those gaps through the vendor or authorized deployment administrator rather than filling them with assumptions.

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