CVE-2026-9582: Cross-Site Request Forgery in SourceCodester CET Automated Grading System with AI Predictive Analytics
CVE-2026-9582 is a medium severity cross-site request forgery (CSRF) vulnerability affecting SourceCodester CET Automated Grading System with AI Predictive Analytics version 1. 0. The flaw allows remote attackers to perform unauthorized actions by tricking authenticated users into submitting forged requests. The specific function affected is unknown. There is no official patch or remediation guidance available at this time. Exploit code has been publicly released, but no known active exploitation in the wild has been reported.
AI Analysis
Technical Summary
This vulnerability in SourceCodester CET Automated Grading System with AI Predictive Analytics 1.0 enables remote attackers to conduct cross-site request forgery attacks. The vulnerability allows an attacker to cause an authenticated user to perform unwanted actions without their consent. The exact function impacted by the CSRF is unspecified. The CVSS 4.0 base score is 5.3, reflecting medium severity with network attack vector, no privileges required, user interaction required, and low impact on confidentiality and integrity. No official remediation or patch has been published by the vendor, and the product is not a cloud service.
Potential Impact
Successful exploitation could allow attackers to induce authenticated users to perform unintended actions on the affected system remotely. The impact is limited to the scope of the affected function, which is unspecified. There is no evidence of confidentiality or availability impact. No known active exploitation in the wild has been reported.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, users should consider implementing CSRF protections such as anti-CSRF tokens or verifying the origin of requests if possible. Monitor vendor communications for updates on patches or official mitigations.
CVE-2026-9582: Cross-Site Request Forgery in SourceCodester CET Automated Grading System with AI Predictive Analytics
Description
CVE-2026-9582 is a medium severity cross-site request forgery (CSRF) vulnerability affecting SourceCodester CET Automated Grading System with AI Predictive Analytics version 1. 0. The flaw allows remote attackers to perform unauthorized actions by tricking authenticated users into submitting forged requests. The specific function affected is unknown. There is no official patch or remediation guidance available at this time. Exploit code has been publicly released, but no known active exploitation in the wild has been reported.
CVSS v4.0
Score 5.3medium
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability in SourceCodester CET Automated Grading System with AI Predictive Analytics 1.0 enables remote attackers to conduct cross-site request forgery attacks. The vulnerability allows an attacker to cause an authenticated user to perform unwanted actions without their consent. The exact function impacted by the CSRF is unspecified. The CVSS 4.0 base score is 5.3, reflecting medium severity with network attack vector, no privileges required, user interaction required, and low impact on confidentiality and integrity. No official remediation or patch has been published by the vendor, and the product is not a cloud service.
Potential Impact
Successful exploitation could allow attackers to induce authenticated users to perform unintended actions on the affected system remotely. The impact is limited to the scope of the affected function, which is unspecified. There is no evidence of confidentiality or availability impact. No known active exploitation in the wild has been reported.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, users should consider implementing CSRF protections such as anti-CSRF tokens or verifying the origin of requests if possible. Monitor vendor communications for updates on patches or official mitigations.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-05-26T12:53:01.526Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a173900e29bf47b50dc2e3c
Added to database: 5/27/2026, 6:33:36 PM
Last enriched: 5/27/2026, 6:48:36 PM
Last updated: 5/27/2026, 7:40:30 PM
Views: 3
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.