📄 Description (English)
NVIDIA TensorRT contains a vulnerability where an attacker could cause an out-of-bounds write. A successful exploit of this vulnerability might lead to data tampering.
🤖 AI Executive Summary
NVIDIA TensorRT contains a critical out-of-bounds write vulnerability (CVE-2026-24188) with CVSS 8.2 that could enable data tampering and potential code execution. This vulnerability affects AI/ML infrastructure widely deployed in Saudi financial institutions, government agencies, and energy sectors for predictive analytics and autonomous systems. Immediate assessment of TensorRT deployments is required as no patch is currently available, necessitating urgent compensating controls.
📄 Description (Arabic)
🤖 AI Intelligence Analysis Analyzed: May 23, 2026 01:32
🇸🇦 Saudi Arabia Impact Assessment
High impact on Saudi banking sector (SAMA-regulated institutions) using TensorRT for fraud detection and credit risk modeling. Government agencies (NCA, CITC) deploying AI for cybersecurity and network monitoring face data integrity risks. Saudi Aramco and energy sector critical infrastructure using TensorRT for predictive maintenance and anomaly detection could experience operational disruption. Telecom operators (STC, Mobily) leveraging TensorRT for network optimization and customer analytics face potential data tampering. Healthcare institutions using AI models for diagnostics could have compromised model integrity.
🏢 Affected Saudi Sectors
Banking and Financial Services
Government and Public Administration
Energy and Utilities
Telecommunications
Healthcare
Defense and Security
🎯 MITRE ATT&CK Techniques
⚖️ Saudi Risk Score (AI)
8.1
/ 10.0
🔧 Remediation Steps (English)
Immediate Actions:
1. Inventory all TensorRT deployments across critical infrastructure and document versions in use
2. Isolate TensorRT systems from untrusted network segments and implement strict network segmentation
3. Enable comprehensive logging and monitoring of TensorRT processes for anomalous behavior
4. Implement input validation and sanitization for all data fed into TensorRT models
Compensating Controls (pending patch):
5. Deploy Web Application Firewalls (WAF) to detect and block malicious payloads targeting TensorRT APIs
6. Implement runtime application self-protection (RASP) to detect out-of-bounds write attempts
7. Use containerization with strict resource limits (memory bounds) to contain potential exploits
8. Enable Address Space Layout Randomization (ASLR) and Data Execution Prevention (DEP) on host systems
9. Restrict TensorRT process privileges using principle of least privilege
10. Monitor NVIDIA security advisories daily for patch availability
11. Maintain offline backups of critical ML models and training data
12. Detection Rule: Alert on TensorRT process memory access violations, segmentation faults, or core dumps
🔧 خطوات المعالجة (العربية)
الإجراءات الفورية:
1. حصر جميع نشرات TensorRT عبر البنية التحتية الحرجة وتوثيق الإصدارات المستخدمة
2. عزل أنظمة TensorRT عن القطاعات غير الموثوقة وتطبيق تقسيم شبكة صارم
3. تفعيل التسجيل الشامل ومراقبة عمليات TensorRT للكشف عن السلوك الشاذ
4. تطبيق التحقق من صحة البيانات وتنظيفها لجميع البيانات المدخلة إلى نماذج TensorRT
الضوابط التعويضية (في انتظار التصحيح):
5. نشر جدران حماية تطبيقات الويب للكشف عن الحمولات الضارة وحجبها
6. تطبيق حماية التطبيقات في وقت التشغيل للكشف عن محاولات الكتابة خارج الحدود
7. استخدام الحاويات مع حدود موارد صارمة لاحتواء الاستغلالات المحتملة
8. تفعيل ASLR و DEP على أنظمة المضيف
9. تقييد امتيازات عمليات TensorRT وفقاً لمبدأ الحد الأدنى من الامتيازات
10. مراقبة استشارات أمان NVIDIA يومياً للتصحيحات
11. الاحتفاظ بنسخ احتياطية غير متصلة من نماذج ML الحرجة والبيانات
12. قاعدة الكشف: تنبيهات على انتهاكات الوصول إلى ذاكرة TensorRT أو أعطال التجزئة
📋 Regulatory Compliance Mapping
🟢 NCA ECC 2024
ECC 2024 A.12.6.1 - Management of technical vulnerabilities
ECC 2024 A.14.2.1 - Secure development policy
ECC 2024 A.12.3.1 - Configuration management
ECC 2024 A.12.2.1 - Change management
🔵 SAMA CSF
ID.RA-1 - Asset management and risk assessment
PR.IP-12 - Software development and acquisition practices
DE.CM-8 - Vulnerability scans and assessments
RS.MI-2 - Incident response and recovery procedures
🟡 ISO 27001:2022
A.12.3.1 - Configuration management
A.12.6.1 - Management of technical vulnerabilities
A.14.2.1 - Secure development policy
A.12.2.1 - Change management procedures
🟣 PCI DSS v4.0.1
Requirement 6.2 - Security patches and updates
Requirement 11.2 - Vulnerability scanning
📦 Affected Products / CPE 1 entries
nvidia:tensorrt