📄 الوصف (الإنجليزية)
Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, a Server-Side Request Forgery (SSRF) vulnerability exists in FlowiseAI's POST/GET API Chain components that allows unauthenticated attackers to force the server to make arbitrary HTTP requests to internal and external systems. By injecting malicious prompt templates, attackers can bypass the intended API documentation constraints and redirect requests to sensitive internal services, potentially leading to internal network reconnaissance and data exfiltration. This vulnerability is fixed in 3.1.0.
🤖 ملخص AI
CVE-2026-41271 is a critical Server-Side Request Forgery (SSRF) vulnerability in Flowise AI versions prior to 3.1.0 that allows unauthenticated attackers to force servers to make arbitrary HTTP requests to internal and external systems. By injecting malicious prompt templates into API Chain components, attackers can bypass security constraints and access sensitive internal services, enabling network reconnaissance and data exfiltration. With a CVSS score of 8.3 and active exploits available, this poses an immediate threat to organizations deploying Flowise for LLM applications.
📄 الوصف (العربية)
🤖 التحليل الذكي آخر تحليل: Apr 25, 2026 01:55
🇸🇦 التأثير على المملكة العربية السعودية
Saudi organizations leveraging Flowise AI for LLM applications face significant risk, particularly in: (1) Banking & Financial Services (SAMA-regulated institutions) using AI chatbots for customer service and internal automation; (2) Government agencies (NCA oversight) deploying AI solutions for citizen services; (3) Healthcare providers using LLM flows for patient data processing; (4) Energy sector (ARAMCO, utilities) utilizing AI for operational intelligence; (5) Telecommunications (STC, Mobily) implementing AI-driven customer support. The SSRF vulnerability could enable attackers to access internal banking systems, government databases, healthcare records, and critical infrastructure management systems, leading to regulatory violations under SAMA CSF and NCA ECC 2024.
🏢 القطاعات السعودية المتأثرة
Banking & Financial Services
Government & Public Administration
Healthcare & Medical Services
Energy & Utilities
Telecommunications
E-commerce & Retail
Insurance
Education & Research
🎯 تقنيات MITRE ATT&CK
⚖️ درجة المخاطر السعودية (AI)
8.7
/ 10.0
🔧 Remediation Steps (English)
IMMEDIATE ACTIONS:
1. Identify all Flowise deployments in your environment and document versions currently in use
2. Isolate affected Flowise instances from direct internet access; implement network segmentation to restrict outbound connections
3. Disable or restrict API Chain components if not critical to operations
4. Review access logs for suspicious POST/GET requests to internal services (check for requests to 127.0.0.1, 192.168.x.x, 10.x.x.x ranges)
PATCHING GUIDANCE:
1. Upgrade Flowise to version 3.1.0 or later immediately when available
2. If upgrade is not immediately possible, implement Web Application Firewall (WAF) rules to block requests containing suspicious prompt injection patterns
3. Implement strict input validation on all prompt template fields to reject payloads containing URL schemes (http://, https://, file://, etc.)
COMPENSATING CONTROLS:
1. Deploy network-level controls: restrict outbound connections from Flowise servers to only approved external APIs and services
2. Implement egress filtering to block connections to private IP ranges (RFC 1918)
3. Enable detailed logging and monitoring of all HTTP requests initiated by Flowise
4. Implement API rate limiting and request throttling
5. Use network segmentation to isolate Flowise from sensitive internal systems
DETECTION RULES:
1. Monitor for HTTP requests from Flowise processes to internal IP ranges (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16, 127.0.0.1)
2. Alert on POST/GET requests to API Chain endpoints containing URL-like patterns in parameters
3. Track failed connection attempts to internal services from Flowise
4. Monitor for unusual outbound traffic patterns from Flowise containers/processes
5. Implement YARA/Snort rules to detect SSRF payload patterns in request bodies
🔧 خطوات المعالجة (العربية)
الإجراءات الفورية:
1. حدد جميع نشرات Flowise في بيئتك وقثق الإصدارات المستخدمة حالياً
2. عزل مثيلات Flowise المتأثرة عن الوصول المباشر للإنترنت؛ تطبيق تقسيم الشبكة لتقييد الاتصالات الصادرة
3. تعطيل أو تقييد مكونات API Chain إذا لم تكن حرجة للعمليات
4. مراجعة سجلات الوصول للطلبات المريبة POST/GET إلى الخدمات الداخلية
إرشادات التصحيح:
1. ترقية Flowise إلى الإصدار 3.1.0 أو أحدث فوراً عند توفره
2. إذا لم يكن الترقية ممكنة فوراً، تطبيق قواعد جدار حماية تطبيقات الويب لحجب الطلبات التي تحتوي على أنماط حقن موجهات مريبة
3. تطبيق التحقق الصارم من المدخلات على جميع حقول قوالب الموجهات لرفض الحمولات التي تحتوي على مخططات URL
الضوابط التعويضية:
1. نشر الضوابط على مستوى الشبكة: تقييد الاتصالات الصادرة من خوادم Flowise إلى واجهات برمجية خارجية معتمدة فقط
2. تطبيق تصفية الخروج لحجب الاتصالات بنطاقات IP الخاصة
3. تفعيل السجلات المفصلة ومراقبة جميع طلبات HTTP التي يبدأها Flowise
4. تطبيق تحديد معدل API وتقييد الطلبات
5. استخدام تقسيم الشبكة لعزل Flowise عن الأنظمة الداخلية الحساسة
قواعد الكشف:
1. مراقبة طلبات HTTP من عمليات Flowise إلى نطاقات IP الداخلية
2. تنبيه على طلبات POST/GET إلى نقاط نهاية API Chain التي تحتوي على أنماط تشبه URL في المعاملات
3. تتبع محاولات الاتصال الفاشلة بالخدمات الداخلية من Flowise
4. مراقبة أنماط حركة المرور الصادرة غير العادية من حاويات/عمليات Flowise
📋 خريطة الامتثال التنظيمي
🟢 NCA ECC 2024
ECC 2024 - 5.1.1: Access Control - Unauthorized access to internal systems via SSRF
ECC 2024 - 5.2.1: Network Security - Inadequate network segmentation allowing internal reconnaissance
ECC 2024 - 5.3.1: Application Security - Input validation failures in API Chain components
ECC 2024 - 6.1.1: Incident Management - Detection and response to SSRF exploitation attempts
🔵 SAMA CSF
SAMA CSF - Governance & Risk Management: Vulnerability management and patch deployment
SAMA CSF - Information & Cybersecurity: Protection of internal systems and data from unauthorized access
SAMA CSF - Resilience & Recovery: Network segmentation and compensating controls
SAMA CSF - Third-party Risk: Management of AI/LLM platform security risks
🟡 ISO 27001:2022
ISO 27001:2022 - A.5.15: Access Control - Restriction of access to internal resources
ISO 27001:2022 - A.5.18: Cryptography - Secure communication channels for API requests
ISO 27001:2022 - A.8.1: Asset Management - Inventory and management of Flowise deployments
ISO 27001:2022 - A.8.22: Monitoring - Detection of unauthorized network access attempts
ISO 27001:2022 - A.12.6: Technical Vulnerability Management - Timely patching of SSRF vulnerabilities
🟣 PCI DSS v4.0.1
PCI DSS 4.1: Encryption of cardholder data in transit if Flowise processes payment data
PCI DSS 6.2: Security patches and updates for all system components
PCI DSS 6.5.1: Injection flaws prevention in web applications
PCI DSS 10.3: Logging and monitoring of access to cardholder data environment
📦 المنتجات المتأثرة 1 منتج
flowiseai:flowise