📄 Description (English)
A weakness has been identified in Sinaptik AI PandasAI up to 3.0.0. This vulnerability affects the function CodeExecutor.execute of the file pandasai/core/code_execution/code_executor.py of the component Chat Message Handler. Executing a manipulation can lead to code injection. The attack may be launched remotely. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.
🤖 AI Executive Summary
CVE-2026-4998 is a critical code injection vulnerability in Sinaptik AI PandasAI versions up to 3.0.0 affecting the CodeExecutor.execute function. The vulnerability allows remote attackers to inject and execute arbitrary code through manipulated chat messages, with no patch currently available. This poses significant risk to Saudi organizations using PandasAI for data analysis and AI-driven business intelligence applications.
📄 Description (Arabic)
🤖 AI Intelligence Analysis Analyzed: May 6, 2026 17:55
🇸🇦 Saudi Arabia Impact Assessment
This vulnerability poses critical risk to Saudi financial institutions (SAMA-regulated banks) using PandasAI for data analysis and reporting, government agencies (NCA oversight) leveraging AI for decision-making, healthcare organizations processing patient data through AI analytics, and energy sector companies (ARAMCO, utilities) using PandasAI for operational analytics. Telecom operators (STC, Mobily) and fintech companies are particularly vulnerable. Remote code execution could lead to data exfiltration, system compromise, and regulatory violations under SAMA and NCA frameworks.
🏢 Affected Saudi Sectors
Banking and Financial Services
Government and Public Administration
Healthcare and Medical Services
Energy and Utilities
Telecommunications
Fintech and Payment Processing
Insurance
Retail and E-commerce
🎯 MITRE ATT&CK Techniques
⚖️ Saudi Risk Score (AI)
8.2
/ 10.0
🔧 Remediation Steps (English)
IMMEDIATE ACTIONS:
1. Identify all systems running PandasAI versions up to 3.0.0 across your organization
2. Isolate affected systems from production networks if possible
3. Implement network segmentation to restrict access to PandasAI instances
4. Disable or restrict chat message handler functionality until patched
COMPENSATING CONTROLS:
1. Implement strict input validation and sanitization for all chat messages before processing
2. Deploy Web Application Firewall (WAF) rules to detect code injection patterns
3. Run PandasAI in containerized environments with minimal privileges and resource limits
4. Enable comprehensive logging and monitoring of CodeExecutor.execute function calls
5. Implement code review processes for any dynamically generated code
6. Use Python sandboxing solutions (RestrictedPython, Pyodide) to limit code execution scope
DETECTION RULES:
1. Monitor for suspicious patterns in chat message inputs containing Python syntax
2. Alert on CodeExecutor.execute calls with unusual parameters or code patterns
3. Track process spawning and system calls initiated from PandasAI processes
4. Monitor file system access from PandasAI application directories
PATCHING:
1. Monitor Sinaptik AI GitHub repository and security advisories for patch releases
2. Prepare upgrade plan to version 3.0.1 or later once available
3. Test patches in isolated environments before production deployment
🔧 خطوات المعالجة (العربية)
الإجراءات الفورية:
1. تحديد جميع الأنظمة التي تعمل بإصدارات PandasAI حتى 3.0.0 عبر المنظمة
2. عزل الأنظمة المتأثرة عن شبكات الإنتاج إن أمكن
3. تطبيق تقسيم الشبكة لتقييد الوصول إلى مثيلات PandasAI
4. تعطيل أو تقييد وظيفة معالج رسائل الدردشة حتى يتم التصحيح
الضوابط التعويضية:
1. تطبيق التحقق الصارم من صحة المدخلات وتنظيفها لجميع رسائل الدردشة قبل المعالجة
2. نشر قواعد جدار حماية تطبيقات الويب للكشف عن أنماط حقن الأكواد
3. تشغيل PandasAI في بيئات حاويات بامتيازات محدودة وحدود موارد
4. تفعيل السجلات الشاملة ومراقبة استدعاءات دالة CodeExecutor.execute
5. تطبيق عمليات مراجعة الأكواد للأكواد المولدة ديناميكياً
6. استخدام حلول الحماية الرملية (RestrictedPython, Pyodide) لتحديد نطاق تنفيذ الأكواد
قواعد الكشف:
1. مراقبة الأنماط المريبة في مدخلات رسائل الدردشة التي تحتوي على بناء جملة Python
2. التنبيه على استدعاءات CodeExecutor.execute بمعاملات أو أنماط أكواد غير عادية
3. تتبع توليد العمليات واستدعاءات النظام من عمليات PandasAI
4. مراقبة الوصول إلى نظام الملفات من أدلة تطبيق PandasAI
التصحيح:
1. مراقبة مستودع Sinaptik AI على GitHub والتنبيهات الأمنية لإصدارات التصحيح
2. تحضير خطة الترقية إلى الإصدار 3.0.1 أو أحدث عند توفره
3. اختبار التصحيحات في بيئات معزولة قبل نشرها في الإنتاج
📋 Regulatory Compliance Mapping
🟢 NCA ECC 2024
ECC 2024 A.5.1.1 - Information Security Policies and Procedures
ECC 2024 A.5.2.1 - Access Control and Authentication
ECC 2024 A.5.3.1 - Cryptography and Data Protection
ECC 2024 A.5.4.1 - Logging and Monitoring
ECC 2024 A.5.5.1 - Incident Response and Management
🔵 SAMA CSF
SAMA CSF Governance - Risk Management Framework
SAMA CSF Protect - Access Control and Data Protection
SAMA CSF Detect - Monitoring and Detection
SAMA CSF Respond - Incident Response Procedures
🟡 ISO 27001:2022
ISO 27001:2022 A.5.1 - Policies for Information Security
ISO 27001:2022 A.5.2 - Information Security Roles and Responsibilities
ISO 27001:2022 A.6.1 - Screening and Vetting
ISO 27001:2022 A.8.1 - User Endpoint Devices
ISO 27001:2022 A.8.2 - Privileged Access Rights
ISO 27001:2022 A.8.3 - Information Access Restriction
ISO 27001:2022 A.8.6 - Access Control to Cryptographic Keys
🟣 PCI DSS v4.0.1
PCI DSS 1.1 - Firewall Configuration Standards
PCI DSS 2.1 - Default Security Parameters
PCI DSS 6.2 - Security Patches and Updates
PCI DSS 6.5.1 - Injection Flaws Prevention
PCI DSS 10.2 - User Access Logging