Online Reviewer System
CVE-2026-2912
MEDIUM
Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessCraft malicious SQL payload in test_id parameter
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ExploitSend request to studentresult-view.php
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ExecutionSQL injection executes against database
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ImpactExtract or modify sensitive data
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Input neutralization, injection prevention
|
| Exploitation Conditions | code-projects Online Reviewer System version 1.0 with /system/system/students/assessments/results/studentresult-view.php accessible and accepting test_id parameter without input validation. No authentication required — remote unauthenticated exploitation against default installations. |
| Impact | CVSS 7.3 (HIGH). Attack vector: Network. Complexity: Low. Privileges required: None. User interaction: None. Exploitable via remote/network. Public exploit/POC available. |
| Exploit ScenarioDerived | A remote attacker could exploit this flaw, sql injection. |
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Alert meAnalysisAIv1 – Mar 12, 2026
SQL injection in Online Reviewer System 1.0 allows unauthenticated remote attackers to manipulate the test_id parameter in the student results view functionality, enabling unauthorized database access and potential data modification. Public exploit code exists for this vulnerability, and no patch is currently available, leaving affected installations at immediate risk.
Earlier versions of this analysis (1)
A vulnerability was found in code-projects Online Reviewer System 1.0. Impacted is an unknown function of the file /system/system/students/assessments/results/studentresult-view.php. [CVSS 7.3 HIGH]
RemediationAI
Monitor vendor advisories for a patch. Use parameterized queries. Implement input validation. Restrict network access to the affected service where possible.
Affects your stack
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Technical ContextAI · show details
Affects Online Reviewer System. A vulnerability was found in code-projects Online Reviewer System 1.0. Impacted is an unknown function of the file /system/system/students/assessments/results/studentresult-view.php. The manipulation of the argument test_id results in sql injection. It is possible to launch the attack remotely. The exploit has been made public and could be used.
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- Exploit and PoC references, threat intelligence from 22 sources
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Severity by source
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P
Primary rating from NVD · only source for this CVE.
CVSS VectorNVD
Lifecycle Timeline
4DescriptionCVE.org
A vulnerability was found in code-projects Online Reviewer System 1.0. Impacted is an unknown function of the file /system/system/students/assessments/results/studentresult-view.php. The manipulation of the argument test_id results in sql injection. It is possible to launch the attack remotely. The exploit has been made public and could be used.
Executive ViewAI
A high-severity vulnerability in the Online Reviewer System's student assessment results module allows unauthorized access to sensitive academic data. This affects any institution using this system, potentially exposing student performance records and creating compliance risks under education privacy regulations.
Implement Web Application Firewall (WAF) rules to filter requests to the vulnerable endpoint; restrict network access to the affected module through IP whitelisting and VPN requirements; disable the student results viewing feature until patch is available; monitor access logs for suspicious activity targeting assessment results; implement additional authentication or CAPTCHA on the affected page; consider deploying a reverse proxy with request validation.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
SQL injection exploits the way applications construct database queries by mixing user input directly into SQL statements.
Affected Products (CPE)CVE.org
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NVD
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EPSS
GitHub
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Exploit-DB