PatchSiren cyber security CVE debrief
CVE-2025-11024 Akilli Commerce Software Technologies Ltd. Co. CVE debrief
A critical SQL injection vulnerability exists in Akilli Commerce Software Technologies Ltd. Co.'s E-Commerce Website before version 4.5.001. This issue allows for Blind SQL Injection, posing a significant risk to affected systems. The vulnerability can lead to unauthorized data access and potential data tampering. It is crucial for defenders and security teams to assess their exposure and prioritize patching or mitigation efforts to prevent potential security breaches. The CVE record and NVD entry provide details on the SQL injection vulnerability, but specific details on exploitation and impact are limited.
- Vendor
- Akilli Commerce Software Technologies Ltd. Co.
- Product
- E-Commerce Website
- CVSS
- CRITICAL 9.8
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-05-14
- Original CVE updated
- 2026-09-30
- Advisory published
- 2026-05-14
- Advisory updated
- 2026-09-30
Who should care
Defenders and security teams responsible for E-Commerce Website deployments should assess their exposure to this vulnerability and prioritize patching or mitigation efforts. This includes reviewing system logs for signs of exploitation, implementing additional monitoring for suspicious SQL activity, and updating incident response plans for potential SQL injection attacks. Security teams should also consider the potential impact on business operations and
Why it matters
CVE-2025-11024 is a critical SQL injection vulnerability in Akilli Commerce Software Technologies Ltd. Co.'s E-Commerce Website. Defenders should assess exposure, prioritize patching, and implement monitoring for suspicious activity. The vulnerability allows for Blind SQL Injection, posing risks of unauthorized data access and tampering. Verification of the current version and exposure is necessary, and potential impacts on business operations and customer data should be considered.
- Potential for unauthorized data access through Blind SQL Injection
- Risk of data tampering or extraction
- Need for verification of current version and exposure
- Potential impact on business operations and customer data
Technical summary
The E-Commerce Website developed by Akilli Commerce Software Technologies Ltd. Co. is vulnerable to SQL injection attacks due to improper neutralization of special elements used in SQL commands. This issue, tracked as CVE-2025-11024, affects versions before 4.5.001 and allows for Blind SQL Injection. The vulnerability poses a significant risk to affected systems, potentially allowing for unauthorized data access and tampering. It is essential for defenders to assess their exposure and prioritize patching or mitigation efforts.
Defensive priority
Immediate attention is required to assess exposure and apply necessary patches or mitigations.
Recommended defensive actions
- Assess exposure of E-Commerce Website instances to this vulnerability
- Verify version 4.5.001 or later is deployed
- Implement additional monitoring for suspicious SQL activity
- Review and update incident response plans for potential SQL injection attacks
- Conduct a thorough review of system logs for signs of exploitation
- Consider implementing compensating controls for exposed systems
- Track and document remediation efforts and exceptions
Evidence notes
The CVE record and NVD entry provide details on the SQL injection vulnerability in Akilli Commerce Software Technologies Ltd. Co.'s E-Commerce Website. However, specific details on exploitation and impact are limited.
Sources and references
Verified primary and authoritative sources
-
CVE-2025-11024 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2025-11024
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2025-11024 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2025-11024
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://siberguvenlik.gov.tr/guvenlik-bildirimleri/detay/tr-26-0222
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.