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Vulnerabilities

CVE-2026-5470

Medium
A security vulnerability has been detected in mixelpixx Google-Research-MCP 1e062d7bd887bfe5f6e582b6cc288bb897b35cf2/ca613b736ab787bc926932f59cddc69457185a83. This issue affects the function extractCo
CWE-918 — Weakness Type
Published: Apr 3, 2026  ·  Modified: Apr 6, 2026  ·  Source: NVD
CVSS v3
6.3
🔗 NVD Official
📄 Description (English)

A security vulnerability has been detected in mixelpixx Google-Research-MCP 1e062d7bd887bfe5f6e582b6cc288bb897b35cf2/ca613b736ab787bc926932f59cddc69457185a83. This issue affects the function extractContent of the file src/services/content-extractor.service.ts of the component Model Context Protocol Handler. The manipulation of the argument URL leads to server-side request forgery. The attack may be initiated remotely. The exploit has been disclosed publicly and may be used. This product uses a rolling release model to deliver continuous updates. As a result, specific version information for affected or updated releases is not available. The vendor was contacted early about this disclosure but did not respond in any way.

🤖 AI Executive Summary

CVE-2026-5470 is a Server-Side Request Forgery (SSRF) vulnerability in mixelpixx Google-Research-MCP's Model Context Protocol Handler affecting the content extraction service. With a CVSS score of 6.3 (medium), this vulnerability allows remote attackers to manipulate URL parameters to forge requests from the server, potentially accessing internal resources or sensitive data. The lack of vendor response and public exploit disclosure elevate the urgency for Saudi organizations using this component.

📄 Description (Arabic)

🤖 AI Intelligence Analysis Analyzed: May 18, 2026 15:17
🇸🇦 Saudi Arabia Impact Assessment
This SSRF vulnerability poses significant risk to Saudi organizations leveraging AI/ML research infrastructure and content processing systems. Most at-risk sectors include: (1) Government agencies and NCA using MCP for document processing and intelligence analysis; (2) Banking sector (SAMA-regulated institutions) if integrated into API gateways or content analysis pipelines; (3) Telecommunications (STC, Mobily) for network traffic analysis; (4) Healthcare institutions processing medical records; (5) Energy sector (ARAMCO, SEC) for operational data processing. The vulnerability could enable attackers to access internal microservices, databases, or cloud metadata endpoints, potentially leading to data exfiltration or lateral movement.
🏢 Affected Saudi Sectors
Government Banking Telecommunications Healthcare Energy Research and Development Cloud Services
⚖️ Saudi Risk Score (AI)
6.8
/ 10.0
🔧 Remediation Steps (English)
Immediate Actions:
1. Inventory all systems using mixelpixx Google-Research-MCP component and isolate affected instances from production if possible
2. Implement network segmentation to restrict outbound connections from systems running this component
3. Deploy Web Application Firewall (WAF) rules to detect and block suspicious URL patterns in requests to the extractContent function
4. Monitor logs for unusual outbound requests to internal IP ranges (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16) or metadata endpoints (169.254.169.254)

Compensating Controls:
5. Implement strict input validation on URL parameters - whitelist allowed domains and reject requests containing internal IP addresses, localhost, or reserved ranges
6. Disable or restrict access to sensitive internal endpoints that could be targeted via SSRF
7. Use egress filtering to prevent the application from making requests to internal networks
8. Implement request signing and validation mechanisms

Detection Rules:
9. Monitor for HTTP requests containing URL parameters with values like: 127.0.0.1, localhost, 169.254.169.254, internal IP ranges, file:// or gopher:// protocols
10. Alert on extractContent function calls with suspicious URL patterns
11. Track all outbound connections from the affected service to internal resources

Long-term:
12. Evaluate alternative solutions or fork the project with security patches
13. Establish vendor security contact procedures for future disclosures
🔧 خطوات المعالجة (العربية)
الإجراءات الفورية:
1. حصر جميع الأنظمة التي تستخدم مكون mixelpixx Google-Research-MCP وعزل الحالات المتأثرة عن الإنتاج إن أمكن
2. تطبيق تقسيم الشبكة لتقييد الاتصالات الصادرة من الأنظمة التي تشغل هذا المكون
3. نشر قواعد جدار حماية تطبيقات الويب (WAF) للكشف عن أنماط URL المريبة وحجبها
4. مراقبة السجلات للطلبات الصادرة غير العادية إلى نطاقات IP الداخلية أو نقاط نهاية البيانات الوصفية

الضوابط البديلة:
5. تطبيق التحقق الصارم من صحة معاملات URL - إدراج النطاقات المسموحة بها ورفض الطلبات التي تحتوي على عناوين IP داخلية
6. تعطيل أو تقييد الوصول إلى نقاط النهاية الداخلية الحساسة التي قد تكون هدفاً للهجوم
7. استخدام تصفية الخروج لمنع التطبيق من إرسال طلبات إلى الشبكات الداخلية
8. تطبيق آليات التوقيع والتحقق من الطلبات

قواعد الكشف:
9. مراقبة طلبات HTTP التي تحتوي على معاملات URL بقيم مثل: 127.0.0.1، localhost، 169.254.169.254، نطاقات IP الداخلية
10. تنبيهات على استدعاءات دالة extractContent بأنماط URL مريبة
11. تتبع جميع الاتصالات الصادرة من الخدمة المتأثرة إلى الموارد الداخلية

المدى الطويل:
12. تقييم الحلول البديلة أو نسخ المشروع مع تصحيحات أمنية
13. إنشاء إجراءات الاتصال الأمني للبائع للإفصاحات المستقبلية
📋 Regulatory Compliance Mapping
🟢 NCA ECC 2024
ECC 2024 A.14.2.1 - Secure development policy and procedures ECC 2024 A.14.2.5 - Secure development environment ECC 2024 A.13.1.3 - Segregation of networks ECC 2024 A.13.1.1 - Network controls and management
🔵 SAMA CSF
SAMA CSF ID.BE-3.2 - Third-party risk management SAMA CSF PR.AC-3 - Access control and management SAMA CSF PR.DS-2 - Data security and protection SAMA CSF DE.CM-1 - Detection and monitoring
🟡 ISO 27001:2022
ISO 27001:2022 A.5.23 - Information security for supplier relationships ISO 27001:2022 A.8.1 - User endpoint devices ISO 27001:2022 A.8.2 - Privileged access rights ISO 27001:2022 A.13.1 - Network security
🟣 PCI DSS v4.0.1
PCI DSS 6.2 - Secure development and vulnerability management PCI DSS 6.5.1 - Injection flaws prevention PCI DSS 1.3 - Network segmentation
📊 CVSS Score
6.3
/ 10.0 — Medium
📊 CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
Attack VectorN — None / Network
Attack ComplexityL — Low / Local
Privileges RequiredL — Low / Local
User InteractionN — None / Network
ScopeU — Unchanged
ConfidentialityL — Low / Local
IntegrityL — Low / Local
AvailabilityL — Low / Local
📋 Quick Facts
Severity Medium
CVSS Score6.3
CWECWE-918
EPSS0.04%
Exploit No
Patch ✗ No
Published 2026-04-03
Source Feed nvd
Views 4
🇸🇦 Saudi Risk Score
6.8
/ 10.0 — Saudi Risk
Priority: HIGH
🏷️ Tags
CWE-918
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