Online Reviewer System
CVE-2026-2196
MEDIUM
Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessSend crafted HTTP request with malicious test_id parameter
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ExploitInject SQL payload into query string
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ExecutionExecute arbitrary SQL commands
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ImpactExtract or modify database records
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Input neutralization, injection prevention
|
| Exploitation Conditions | No special conditions — remote unauthenticated SQL injection against code-projects Online Reviewer System 1.0 default installation via /system/system/admins/assessments/pretest/exam-update.php endpoint. |
| Impact | CVSS 7.3 (HIGH). Attack vector: Network. Complexity: Low. Privileges required: None. User interaction: None. Exploitation requires authentication. Exploitable via remote/network. Public exploit/POC available. |
| Exploit ScenarioDerived | A remote attacker (requires authentication) could exploit this flaw, sql injection. |
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Alert meAnalysisAIv1 – Mar 12, 2026
SQL injection in code-projects Online Reviewer System 1.0 allows unauthenticated remote attackers to manipulate the test_id parameter in the exam-update.php endpoint, enabling unauthorized database access and modification. Public exploit code exists for this vulnerability, and no patch is currently available.
Earlier versions of this analysis (1)
A vulnerability was found in code-projects Online Reviewer System 1.0. This issue affects some unknown processing of the file /system/system/admins/assessments/pretest/exam-update.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. This issue affects some unknown processing of the file /system/system/admins/assessments/pretest/exam-update.php. The manipulation of the argument test_id results in sql injection. The attack may be performed from remote. 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. This issue affects some unknown processing of the file /system/system/admins/assessments/pretest/exam-update.php. The manipulation of the argument test_id results in sql injection. The attack may be performed from remote. The exploit has been made public and could be used.
Executive ViewAI
A high-severity vulnerability in the Online Reviewer System's exam management functionality could allow unauthorized access to assessment data and system administration functions. Without an available patch, immediate action is required to prevent potential compromise of educational integrity and sensitive student/assessment information.
Implement WAF rules to block requests to /system/system/admins/assessments/pretest/exam-update.php; restrict network access to this module via firewall rules limiting access to authorized administrative IPs only; disable the exam update feature if operationally feasible; enable enhanced logging and real-time alerting for access attempts to this path; implement multi-factor authentication for admin accounts; consider isolating the system to an air-gapped network until patch availability.
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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