CVE-2026-12176: Cross Site Scripting in SourceCodester CET Automated Grading System with AI Predictive Analytics
A vulnerability has been found in SourceCodester CET Automated Grading System with AI Predictive Analytics 1.0. The impacted element is an unknown function of the file /index.php. The manipulation of the argument action leads to cross site scripting. The attack is possible to be carried out remotely. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
This vulnerability in SourceCodester CET Automated Grading System with AI Predictive Analytics 1.0 involves a cross-site scripting flaw due to improper sanitization of the 'action' parameter in the /index.php file. An attacker can remotely supply crafted input to this parameter to execute arbitrary scripts in the context of the victim's browser. The vulnerability is classified with a CVSS 4.0 base score of 5.3 (medium severity), indicating it requires no privileges and no user interaction is needed, but user interaction is present (UI:P) and the impact is limited to integrity and availability with no confidentiality impact. There is no vendor-provided patch or official remediation at this time.
Potential Impact
Successful exploitation allows an attacker to execute arbitrary scripts in the context of the affected web application, potentially leading to session hijacking, defacement, or other client-side attacks. The impact is limited to the integrity and availability of the affected system as per the CVSS vector, with no direct confidentiality impact reported. The vulnerability can be exploited remotely without authentication.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, consider implementing web application firewall (WAF) rules to detect and block malicious input targeting the 'action' parameter. Additionally, review and apply input validation and output encoding best practices in the application code if possible.
CVE-2026-12176: Cross Site Scripting in SourceCodester CET Automated Grading System with AI Predictive Analytics
Description
A vulnerability has been found in SourceCodester CET Automated Grading System with AI Predictive Analytics 1.0. The impacted element is an unknown function of the file /index.php. The manipulation of the argument action leads to cross site scripting. The attack is possible to be carried out remotely. The exploit has been disclosed to the public and may be used.
CVSS v4.0
Score 5.3medium
Affected software
cpe:2.3:a:sourcecodester:cet_automated_grading_system_with_ai_predictive_analytics:*:*:*:*:*:*:*:*AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability in SourceCodester CET Automated Grading System with AI Predictive Analytics 1.0 involves a cross-site scripting flaw due to improper sanitization of the 'action' parameter in the /index.php file. An attacker can remotely supply crafted input to this parameter to execute arbitrary scripts in the context of the victim's browser. The vulnerability is classified with a CVSS 4.0 base score of 5.3 (medium severity), indicating it requires no privileges and no user interaction is needed, but user interaction is present (UI:P) and the impact is limited to integrity and availability with no confidentiality impact. There is no vendor-provided patch or official remediation at this time.
Potential Impact
Successful exploitation allows an attacker to execute arbitrary scripts in the context of the affected web application, potentially leading to session hijacking, defacement, or other client-side attacks. The impact is limited to the integrity and availability of the affected system as per the CVSS vector, with no direct confidentiality impact reported. The vulnerability can be exploited remotely without authentication.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, consider implementing web application firewall (WAF) rules to detect and block malicious input targeting the 'action' parameter. Additionally, review and apply input validation and output encoding best practices in the application code if possible.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-06-13T05:55:32.673Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a2dea31e617e2d834592bab
Added to database: 06/13/2026, 23:39:29 UTC
Last enriched: 06/21/2026, 00:12:05 UTC
Last updated: 07/31/2026, 19:22:57 UTC
Views: 104
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