Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessSend crafted HTTP request with malicious SQL in custom_dates parameter
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DeliveryExtract database contents including password hashes
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ExploitExploit predictable legacy password reset mechanism
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ExecutionReset admin account password
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ImpactAchieve administrative account takeover
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Parameterized queries, prepared statements
MITRE ATT&CK
2 techniques across 2 tactics: Initial Access, Persistence The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | Chamilo LMS versions prior to 1.11.34 with unauthenticated access to the custom_dates parameter endpoint. No authentication required; exploitation works against default installations accessible over network. |
| Impact | An attacker can extract, modify, or delete database contents, potentially gaining access to sensitive data or administrative credentials. |
| Exploit ScenarioDerived | An attacker crafts a malicious input containing SQL metacharacters (e.g., ' OR 1=1 --) to manipulate database queries, bypass authentication, or exfiltrate data. |
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Alert meAnalysisAIv1 – Mar 16, 2026
Unauthenticated SQL injection in Chamilo LMS versions prior to 1.11.34 enables remote attackers to execute arbitrary database queries through the custom_dates parameter and escalate to full administrative account takeover by exploiting a predictable password reset mechanism. This critical vulnerability exposes the entire database including personally identifiable information and system configurations without requiring any credentials or user interaction. No patch is currently available for affected installations.
Earlier versions of this analysis (1)
RemediationAI
Use parameterized queries or prepared statements. Apply input validation and escape special characters. Implement least-privilege database accounts.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in euvd
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
SQL injection occurs when user-supplied input is incorporated into SQL queries without proper sanitization or parameterized queries.
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Severity by source
AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Primary rating from GitHub Advisory · only source for this CVE.
CVSS VectorGitHub Advisory
Lifecycle Timeline
3DescriptionGitHub Advisory
Chamilo LMS is a learning management system. Prior to version 1.11.34, there is an unauthenticated SQL injection vulnerability which allows remote attackers to execute arbitrary SQL commands via the custom_dates parameter. By chaining this with a predictable legacy password reset mechanism, an attacker can achieve full administrative account takeover without any prior credentials. The vulnerability also exposes the entire database, including PII and system configurations. This issue has been patched in version 1.11.34.
Executive ViewAI
Chamilo LMS versions before 1.11.34 contain a critical unauthenticated SQL injection vulnerability that allows attackers to extract the entire database including student records, employee data, and system credentials, then escalate to administrative control without needing user interaction. Organizations running affected Chamilo instances face immediate risk of complete learning platform compromise, regulatory exposure through PII disclosure, and potential operational shutdown.
Apply vendor patch to version 1.11.34 or later immediately. If patching cannot be completed within 48 hours: (1) Implement Web Application Firewall rules to block requests containing 'custom_dates' parameter injection patterns; (2) Restrict network access to Chamilo to internal IP ranges only; (3) Disable any unused API endpoints and external integrations; (4) Enable enhanced database query logging and monitoring for anomalous SQL patterns; (5) Increase administrative account monitoring and implement forced password reset for all administrative users pending patch deployment.
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.
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EUVD-2026-12492
NVD
CVE.org
EPSS
GitHub
VulDB
Exploit-DB