CVE Alert: CVE-2025-11513 – code-projects – E-Commerce Website
CVE-2025-11513
A vulnerability was determined in code-projects E-Commerce Website 1.0. This affects an unknown part of the file /pages/supplier_update.php. This manipulation of the argument supp_id causes sql injection. The attack is possible to be carried out remotely. The exploit has been publicly disclosed and may be utilized.
AI Summary Analysis
Risk verdict
High risk: remote, unauthenticated SQL injection with a publicly disclosed PoC; exploitation could directly impact data integrity and confidentiality.
Why this matters
The vulnerability enables an attacker to manipulate database queries without any user interaction, potentially exfiltrating or tampering customer data and affecting order processing. Given the public PoC, there is a credible chance of automated scanning and exploitation against exposed web endpoints, with possible downstream effects on trust, regulatory compliance, and financial risk.
Most likely attack path
Attacker targets a network-available endpoint (no authentication required) and injects payloads into the vulnerable parameter. The CVSS metrics imply data could be read or modified and availability affected, without needing user actions or elevated privileges, enabling rapid initial access and potential pivot to adjacent services if network segmentation is weak.
Who is most exposed
Web-facing ecommerce sites or supplier-management modules that connect directly to a backend database are most at risk, especially where input is not parameterised and where the supplier_update-like endpoint accepts unvalidated identifiers.
Detection ideas
- Unusual SQL errors or database-side exceptions in application logs.
- Anomalous or repetitive input patterns targeting the supplier-like parameter.
- Increased outbound data transfers or unusual query shapes in DB logs.
- WAF/IPS alerts for SQLi-like payloads.
- Signatures of known PoC payloads in application or proxy logs.
Mitigation and prioritisation
- Apply vendor patch or hotfix to fix the injection point; move to parameterised queries.
- Implement input validation and use prepared statements; disable informative DB errors.
- Enforce least-privilege DB accounts and network segmentation between app and DB.
- Deploy WAF rules targeting SQL injection; monitor and alert on suspicious payloads.
- Initiate change control and test in staging before production rollout; plan a rapid patch cycle given public PoC.
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