📄 Description (English)
A vulnerability was found in pytries datrie up to 0.8.3. The affected element is the function Trie.load/Trie.read/Trie.__setstate__ of the file src/datrie.pyx of the component trie File Handler. The manipulation results in deserialization. The attack can be launched remotely. The exploit has been made public and could be used. The project was informed of the problem early through an issue report but has not responded yet.
🤖 AI Executive Summary
CVE-2026-5659 is a deserialization vulnerability in pytries datrie library (≤0.8.3) affecting the Trie.load, Trie.read, and Trie.__setstate functions. With a CVSS score of 6.3 and publicly disclosed exploit code, this vulnerability enables remote code execution through malicious serialized trie objects. The lack of available patches and unresponsive maintainers elevates risk for organizations using this library in production systems.
📄 Description (Arabic)
🤖 AI Intelligence Analysis Analyzed: May 21, 2026 14:33
🇸🇦 Saudi Arabia Impact Assessment
This vulnerability primarily impacts Saudi organizations in technology and financial sectors that utilize pytries datrie for data structure processing, including fintech companies, banking infrastructure providers, and government digital transformation initiatives. Risk is elevated for organizations using datrie in API backends, data processing pipelines, or machine learning applications. SAMA-regulated financial institutions and NCA-supervised government agencies face compliance implications if datrie is embedded in critical systems without proper isolation.
🏢 Affected Saudi Sectors
Banking and Financial Services
Government and Public Administration
Fintech and Payment Processing
Telecommunications
Healthcare and Medical Records
Energy and Utilities
E-commerce and Retail
🎯 MITRE ATT&CK Techniques
⚖️ Saudi Risk Score (AI)
7.2
/ 10.0
🔧 Remediation Steps (English)
Immediate Actions:
1. Inventory all systems using pytries datrie library version 0.8.3 or earlier
2. Isolate affected systems from untrusted network sources
3. Implement input validation to reject suspicious serialized trie objects
4. Monitor for exploitation attempts targeting Trie.load/read functions
Compensating Controls:
1. Disable remote trie file loading if not required; use only trusted local sources
2. Implement strict deserialization whitelisting - only deserialize trie objects from verified sources
3. Run datrie operations in sandboxed environments with minimal privileges
4. Apply network segmentation to limit lateral movement from compromised datrie processes
Patching Strategy:
1. Contact pytries maintainers for security patch timeline
2. Evaluate alternative trie libraries (marisa-trie, pybloom) as interim solutions
3. If migration not feasible, implement wrapper functions that validate serialized data before deserialization
Detection Rules:
1. Monitor for unexpected child processes spawned from Python/datrie processes
2. Alert on file access to .trie files from unexpected sources
3. Track Trie.__setstate__ calls with non-standard pickle protocols
4. Log all Trie.load/read operations with source IP and file hash
🔧 خطوات المعالجة (العربية)
الإجراءات الفورية:
1. حصر جميع الأنظمة التي تستخدم مكتبة pytries datrie الإصدار 0.8.3 أو أقدم
2. عزل الأنظمة المتأثرة عن مصادر الشبكة غير الموثوقة
3. تطبيق التحقق من صحة المدخلات لرفض كائنات trie المسلسلة المريبة
4. مراقبة محاولات الاستغلال الموجهة لوظائف Trie.load/read
الضوابط البديلة:
1. تعطيل تحميل ملفات trie البعيدة إن لم تكن مطلوبة؛ استخدم المصادر المحلية الموثوقة فقط
2. تطبيق قائمة بيضاء صارمة لفك التسلسل - فك تسلسل كائنات trie من مصادر موثوقة فقط
3. تشغيل عمليات datrie في بيئات معزولة بامتيازات محدودة
4. تطبيق تقسيم الشبكة لتحديد الحركة الجانبية من عمليات datrie المخترقة
استراتيجية التصحيح:
1. التواصل مع مطوري pytries للحصول على جدول زمني لتصحيح الأمان
2. تقييم مكتبات trie بديلة (marisa-trie, pybloom) كحلول مؤقتة
3. إذا لم تكن الهجرة ممكنة، تطبيق وظائف wrapper تتحقق من البيانات المسلسلة قبل فك التسلسل
قواعد الكشف:
1. مراقبة العمليات الفرعية غير المتوقعة التي تنبثق من عمليات Python/datrie
2. تنبيه الوصول إلى ملفات .trie من مصادر غير متوقعة
3. تتبع استدعاءات Trie.__setstate__ مع بروتوكولات pickle غير القياسية
4. تسجيل جميع عمليات Trie.load/read مع عنوان IP المصدر وتجزئة الملف
📋 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
🔵 SAMA CSF
ID.RA-1 - Asset management and vulnerability identification
PR.DS-6 - Data security and integrity controls
DE.CM-8 - Vulnerability scans and assessments
🟡 ISO 27001:2022
A.12.6.1 - Management of technical vulnerabilities
A.14.2.1 - Secure development and change management
A.12.3.1 - Configuration management
A.12.2.1 - Change management procedures
🟣 PCI DSS v4.0.1
Requirement 6.2 - Security patches and updates
Requirement 6.3.1 - Vulnerability identification and remediation
🔗 References & Sources 6
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https://github.com/dhabaleshwar/Open-Source-Vulnerabilities/blob/main/dartie_code_exec.md
cna@vuldb.com
https://github.com/pytries/datrie/
cna@vuldb.com
https://github.com/pytries/datrie/issues/109
cna@vuldb.com
https://vuldb.com/submit/785228
cna@vuldb.com
https://vuldb.com/vuln/355483
cna@vuldb.com
https://vuldb.com/vuln/355483/cti
cna@vuldb.com