Impact
An insecure function in SourceCodester CET Automated Grading System with AI Predictive Analytics 1.0 allows an attacker to craft a request that a victim’s browser will execute, effectively inserting a cross‑site request forgery (XSRF) vulnerability. The flaw is classified as CWE‑352 (Cross‑Site Request Forgery) and also involves a missing permission check (CWE‑862). The result is that an attacker can cause the authenticated user to perform unintended actions on the application, potentially altering data or executing unintended commands.
Affected Systems
The vulnerability affects SourceCodester’s CET Automated Grading System with AI Predictive Analytics, specifically version 1.0. No other versions or products are listed as impacted.
Risk and Exploitability
The CVSS score of 5.3 indicates a moderate severity vulnerability. EPSS data is unavailable, but typical XSRF exploitation is considered low‑to‑moderate in the absence of additional constraints. The flaw is not listed in CISA’s KEV catalog. The attack can be carried out remotely by an actor who can convince a legitimate user to visit a malicious page or click a forged link that causes the victim’s browser to submit a manipulated request to the affected application.
OpenCVE Enrichment