📄 الوصف (الإنجليزية)
A flaw was found in InstructLab. A local attacker could exploit a path traversal vulnerability in the chat session handler by manipulating the `logs_dir` parameter. This allows the attacker to create new directories and write files to arbitrary locations on the system, potentially leading to unauthorized data modification or disclosure.
🤖 ملخص AI
CVE-2026-6855 is a path traversal vulnerability in InstructLab's chat session handler that allows local attackers to write files to arbitrary system locations by manipulating the logs_dir parameter. With a CVSS score of 7.1, this vulnerability poses a significant risk for organizations using InstructLab for AI model training and deployment. While no public exploit is currently available, the lack of a patch makes immediate mitigation through compensating controls essential for Saudi organizations.
📄 الوصف (العربية)
🤖 التحليل الذكي آخر تحليل: May 9, 2026 07:08
🇸🇦 التأثير على المملكة العربية السعودية
This vulnerability primarily impacts Saudi organizations in the technology and AI research sectors, including: (1) Government AI research initiatives and digital transformation projects under SDAIA; (2) Telecommunications companies (STC, Mobily, Zain) developing AI-powered services; (3) Financial institutions and FinTech companies using InstructLab for model development; (4) Healthcare organizations implementing AI diagnostic tools; (5) Energy sector (ARAMCO, SEC) utilizing AI for optimization. The local attack vector limits exposure but poses significant risk in shared development environments and cloud deployments common in Saudi enterprises.
🏢 القطاعات السعودية المتأثرة
Technology and AI Research
Telecommunications
Financial Services and FinTech
Healthcare
Energy (Oil & Gas)
Government and Digital Transformation
Education and Research Institutions
🎯 تقنيات MITRE ATT&CK
⚖️ درجة المخاطر السعودية (AI)
6.8
/ 10.0
🔧 Remediation Steps (English)
Immediate Actions:
1. Identify all systems running InstructLab across your organization and document their locations and purposes
2. Restrict local access to InstructLab systems through strict access controls and principle of least privilege
3. Implement file integrity monitoring (FIM) on critical directories to detect unauthorized file creation/modification
4. Review and audit logs_dir parameter configurations across all InstructLab instances
Compensating Controls (until patch available):
5. Deploy application-level input validation to sanitize the logs_dir parameter, rejecting path traversal sequences (../, ..\ , encoded variants)
6. Run InstructLab in containerized environments (Docker/Kubernetes) with restricted filesystem permissions and read-only mounts where possible
7. Implement strict SELinux or AppArmor policies limiting InstructLab process write permissions to designated directories only
8. Use chroot jails or namespace isolation to confine file operations
9. Monitor system calls using auditd or similar tools to detect path traversal attempts
10. Implement network segmentation to limit lateral movement if compromise occurs
11. Maintain regular backups of critical data outside InstructLab's accessible directories
Detection Rules:
- Alert on any InstructLab process attempting to write files outside designated logs directories
- Monitor for unusual directory creation patterns in system root or sensitive locations
- Track failed file access attempts with permission denied errors
- Log all modifications to InstructLab configuration files, especially logs_dir parameters
🔧 خطوات المعالجة (العربية)
الإجراءات الفورية:
1. تحديد جميع الأنظمة التي تقوم بتشغيل InstructLab عبر مؤسستك وتوثيق مواقعها وأغراضها
2. تقييد الوصول المحلي إلى أنظمة InstructLab من خلال ضوابط الوصول الصارمة ومبدأ الامتياز الأقل
3. تنفيذ مراقبة سلامة الملفات (FIM) على الدلائل الحرجة للكشف عن إنشاء/تعديل الملفات غير المصرح به
4. مراجعة وتدقيق تكوينات معامل logs_dir عبر جميع مثيلات InstructLab
الضوابط البديلة (حتى توفر الرقعة):
5. نشر التحقق من صحة المدخلات على مستوى التطبيق لتنظيف معامل logs_dir، ورفض تسلسلات اجتياز المسار (../, ..\ والمتغيرات المشفرة)
6. تشغيل InstructLab في بيئات حاويات (Docker/Kubernetes) مع أذونات نظام الملفات المقيدة والتثبيتات للقراءة فقط حيث أمكن
7. تنفيذ سياسات SELinux أو AppArmor الصارمة التي تحد من أذونات كتابة عملية InstructLab إلى الدلائل المعينة فقط
8. استخدام أقفال chroot أو عزل الفضاء الاسمي لحصر عمليات الملفات
9. مراقبة استدعاءات النظام باستخدام auditd أو أدوات مماثلة للكشف عن محاولات اجتياز المسار
10. تنفيذ تقسيم الشبكة لتحديد الحركة الجانبية في حالة حدوث اختراق
11. الحفاظ على نسخ احتياطية منتظمة للبيانات الحرجة خارج الدلائل التي يمكن الوصول إليها من InstructLab
📋 خريطة الامتثال التنظيمي
🟢 NCA ECC 2024
A.5.1.1 - Information security policies and procedures
A.5.2.1 - User access management and authorization
A.5.3.1 - Access control implementation
A.5.4.1 - Cryptography and data protection
A.6.1.1 - Asset management and inventory
A.6.2.1 - Information classification
A.7.1.1 - Physical and environmental security
A.8.1.1 - Operations security and change management
A.8.2.1 - Malware protection and vulnerability management
🔵 SAMA CSF
Governance - Policy and Risk Management
Governance - Compliance and Audit
Protection - Access Control and Authentication
Protection - Data Protection and Privacy
Detection - Monitoring and Logging
Response - Incident Management
🟡 ISO 27001:2022
5.1 - Policies for information security
5.3 - Segregation of duties
6.1 - Information security risk assessment
6.2 - Information security risk treatment
8.1 - Operational planning and control
8.2 - Supply chain relationships
8.3 - Information and communication
8.4 - Systems acquisition, development and maintenance
8.5 - Access control
8.6 - Cryptography
8.7 - Physical and environmental security
8.32 - Change management
8.33 - Information security testing